diff --git a/.gitignore b/.gitignore
index 04dd9ef..1933b9a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -258,3 +258,15 @@ python_pkg/music_gen/output/
 python_pkg/screen_locker/sick_day_state.json
 python_pkg/screen_locker/workout_log.json.bak
 preview_images
+# Anki generated packages (large binary files)
+*.apkg
+
+# Geographic data cache (can be regenerated)
+python_pkg/geo_cache/
+
+# Local venvs in subpackages
+python_pkg/*/.venv/
+python_pkg/*/cache/
+
+# Large geojson files that can be downloaded
+python_pkg/warsaw_districts/warszawa-dzielnice.geojson
diff --git a/python_pkg/geo_data.py b/python_pkg/geo_data.py
new file mode 100644
index 0000000..07cdae0
--- /dev/null
+++ b/python_pkg/geo_data.py
@@ -0,0 +1,1056 @@
+"""Shared geographic data module for Warsaw and Poland Anki generators.
+
+This module handles downloading and caching geographic data from various sources:
+- OpenStreetMap via Overpass API
+- Geofabrik OSM extracts
+- GitHub repositories with pre-processed GeoJSON
+
+All data is cached locally to avoid repeated downloads.
+"""
+
+from __future__ import annotations
+
+import contextlib
+import json
+from pathlib import Path
+import shutil
+import sys
+import time
+from typing import TYPE_CHECKING
+from urllib.request import urlopen
+
+import geopandas as gpd
+import requests
+from shapely.geometry import LineString, MultiLineString
+
+if TYPE_CHECKING:
+    from typing import Any
+
+# Shared cache directory for all geo data
+CACHE_DIR = Path(__file__).parent / "geo_cache"
+
+# Overpass API endpoints (multiple for redundancy)
+# Note: kumi.systems is more reliable, so it's first
+OVERPASS_ENDPOINTS = [
+    "https://overpass.kumi.systems/api/interpreter",
+    "https://overpass-api.de/api/interpreter",
+    "https://maps.mail.ru/osm/tools/overpass/api/interpreter",
+]
+
+# GitHub URLs for pre-processed data
+POLSKA_GEOJSON_BASE = "https://raw.githubusercontent.com/ppatrzyk/polska-geojson/master"
+
+# Wikidata SPARQL endpoint
+WIKIDATA_SPARQL = "https://query.wikidata.org/sparql"
+
+# Request timeout and retry settings
+REQUEST_TIMEOUT = 180
+MAX_RETRIES = 3
+RETRY_DELAY = 5
+
+
+def _ensure_cache_dir() -> None:
+    """Create cache directory if it doesn't exist."""
+    CACHE_DIR.mkdir(parents=True, exist_ok=True)
+
+
+def _query_wikidata(query: str) -> list[dict[str, Any]]:
+    """Query Wikidata SPARQL endpoint.
+
+    Args:
+        query: SPARQL query string.
+
+    Returns:
+        List of result bindings.
+    """
+    response = requests.get(
+        WIKIDATA_SPARQL,
+        params={"query": query, "format": "json"},
+        timeout=60,
+    )
+    response.raise_for_status()
+    return response.json()["results"]["bindings"]
+
+
+def _get_powiaty_population() -> dict[str, int]:
+    """Get population data for all Polish powiaty from Wikidata.
+
+    Returns:
+        Dictionary mapping powiat name to population.
+    """
+    cache_path = CACHE_DIR / "powiaty_population.json"
+
+    if cache_path.exists():
+        return json.loads(cache_path.read_text())
+
+    # Query Wikidata for all powiaty (Q247073) in Poland (Q36) with population
+    # Filter to only current Polish powiaty using country=Poland filter
+    query = """
+    SELECT ?powiat ?powiatLabel ?population WHERE {
+      ?powiat wdt:P31 wd:Q247073.
+      ?powiat wdt:P17 wd:Q36.
+      ?powiat wdt:P1082 ?population.
+      SERVICE wikibase:label { bd:serviceParam wikibase:language "pl,en". }
+    }
+    ORDER BY DESC(?population)
+    """
+
+    sys.stdout.write("Fetching powiaty population data from Wikidata...\n")
+    results = _query_wikidata(query)
+
+    population_map: dict[str, int] = {}
+    for item in results:
+        label = item.get("powiatLabel", {}).get("value", "")
+        pop = item.get("population", {}).get("value", "0")
+        if label and pop:
+            # Remove "powiat" prefix if present for matching
+            clean_label = label.replace("powiat ", "").strip()
+            with contextlib.suppress(ValueError):
+                population_map[clean_label] = int(pop)
+
+    _ensure_cache_dir()
+    cache_path.write_text(json.dumps(population_map, ensure_ascii=False, indent=2))
+
+    sys.stdout.write(f"Cached population data for {len(population_map)} powiaty.\n")
+    return population_map
+
+
+def _try_single_request(
+    endpoint: str, query: str
+) -> tuple[dict[str, Any] | None, Exception | None]:
+    """Try a single request to an endpoint.
+
+    Args:
+        endpoint: Overpass API endpoint URL.
+        query: Overpass QL query string.
+
+    Returns:
+        Tuple of (result, error). One will be None.
+    """
+    try:
+        sys.stdout.write(f"  Querying {endpoint}...\n")
+        response = requests.post(
+            endpoint,
+            data={"data": query},
+            timeout=REQUEST_TIMEOUT,
+        )
+        response.raise_for_status()
+        result = response.json()
+    except (requests.RequestException, requests.Timeout, ValueError) as e:
+        return None, e
+    else:
+        # Check for valid response with elements
+        if not isinstance(result, dict) or "elements" not in result:
+            return None, ValueError("Invalid response format")
+        return result, None
+
+
+def _overpass_query(query: str) -> dict[str, Any]:
+    """Execute an Overpass API query with retry logic.
+
+    Args:
+        query: Overpass QL query string.
+
+    Returns:
+        JSON response from the API.
+
+    Raises:
+        RuntimeError: If all endpoints fail.
+    """
+    last_error: Exception | None = None
+
+    for endpoint in OVERPASS_ENDPOINTS:
+        for attempt in range(MAX_RETRIES):
+            result, error = _try_single_request(endpoint, query)
+            if result is not None:
+                return result
+            last_error = error
+            sys.stdout.write(f"  Attempt {attempt + 1} failed: {error}\n")
+            if attempt < MAX_RETRIES - 1:
+                time.sleep(RETRY_DELAY)
+
+    msg = f"All Overpass API endpoints failed. Last error: {last_error}"
+    raise RuntimeError(msg)
+
+
+def _download_github_geojson(url: str, cache_path: Path) -> gpd.GeoDataFrame:
+    """Download GeoJSON from GitHub and cache it.
+
+    Args:
+        url: URL to download from.
+        cache_path: Path to cache the data.
+
+    Returns:
+        GeoDataFrame with the data.
+    """
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write(f"Downloading from {url}...\n")
+    with urlopen(url, timeout=REQUEST_TIMEOUT) as response:  # noqa: S310
+        data = json.loads(response.read().decode())
+
+    _ensure_cache_dir()
+    cache_path.write_text(json.dumps(data))
+
+    return gpd.GeoDataFrame.from_features(data["features"], crs="EPSG:4326")
+
+
+# =============================================================================
+# Warsaw Data
+# =============================================================================
+
+
+def get_warsaw_boundary() -> gpd.GeoDataFrame:
+    """Get Warsaw city boundary.
+
+    Returns:
+        GeoDataFrame with Warsaw boundary polygon.
+    """
+    cache_path = CACHE_DIR / "warsaw_boundary.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    # Try to use districts file first
+    districts_path = (
+        Path(__file__).parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+        _ensure_cache_dir()
+        warsaw_boundary.to_file(cache_path, driver="GeoJSON")
+        return warsaw_boundary
+
+    # Fallback to Overpass query
+    sys.stdout.write("Fetching Warsaw boundary from OpenStreetMap...\n")
+    query = """
+    [out:json][timeout:60];
+    relation["name"="Warszawa"]["admin_level"="6"];
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    for element in data.get("elements", []):
+        if element.get("type") == "relation":
+            coords = []
+            for member in element.get("members", []):
+                if member.get("role") == "outer" and "geometry" in member:
+                    coords.extend([(p["lon"], p["lat"]) for p in member["geometry"]])
+            if coords:
+                features.append(
+                    {
+                        "type": "Feature",
+                        "properties": {"name": "Warszawa"},
+                        "geometry": {"type": "Polygon", "coordinates": [coords]},
+                    }
+                )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+def get_warsaw_districts() -> gpd.GeoDataFrame:
+    """Get Warsaw districts (dzielnice).
+
+    Returns:
+        GeoDataFrame with district boundaries.
+    """
+    districts_path = (
+        Path(__file__).parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        gdf = gpd.read_file(districts_path)
+        return gdf[gdf["name"] != "Warszawa"].copy()
+
+    msg = "Warsaw districts GeoJSON not found"
+    raise FileNotFoundError(msg)
+
+
+def get_vistula_river() -> gpd.GeoDataFrame:
+    """Get Vistula river in Warsaw.
+
+    Returns:
+        GeoDataFrame with river geometry.
+    """
+    cache_path = CACHE_DIR / "warsaw_vistula.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write("Fetching Vistula river data...\n")
+    query = """
+    [out:json][timeout:60];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    (
+      way["waterway"="river"]["name"="Wisła"](area.warsaw);
+    );
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    min_coords = 2
+    for element in data.get("elements", []):
+        if element.get("type") == "way" and "geometry" in element:
+            coords = [(p["lon"], p["lat"]) for p in element["geometry"]]
+            if len(coords) >= min_coords:
+                features.append(
+                    {
+                        "type": "Feature",
+                        "properties": {"name": "Wisła"},
+                        "geometry": {"type": "LineString", "coordinates": coords},
+                    }
+                )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+def get_warsaw_bridges() -> gpd.GeoDataFrame:
+    """Get Warsaw bridges over the Vistula.
+
+    Returns:
+        GeoDataFrame with bridge geometries.
+    """
+    cache_path = CACHE_DIR / "warsaw_bridges.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write("Fetching Warsaw bridges data...\n")
+
+    # First get the Vistula to filter bridges
+    vistula = get_vistula_river()
+    vistula_union = vistula.union_all()
+    vistula_buffer = vistula_union.buffer(0.002)  # ~200m buffer
+
+    # Query for bridges with "Most" in name - smaller query
+    query = """
+    [out:json][timeout:90];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    way["bridge"="yes"]["name"~"^Most"](area.warsaw);
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    seen_names: set[str] = set()
+    min_coords = 2
+
+    for element in data.get("elements", []):
+        if element.get("type") != "way" or "geometry" not in element:
+            continue
+
+        name = element.get("tags", {}).get("name", "")
+        if not name or name in seen_names:
+            continue
+
+        coords = [(p["lon"], p["lat"]) for p in element["geometry"]]
+        if len(coords) < min_coords:
+            continue
+
+        line = LineString(coords)
+
+        # Check if bridge crosses/is near Vistula
+        if line.intersects(vistula_buffer):
+            seen_names.add(name)
+            features.append(
+                {
+                    "type": "Feature",
+                    "properties": {"name": name, "osm_id": element.get("id")},
+                    "geometry": {"type": "LineString", "coordinates": coords},
+                }
+            )
+
+    # Merge segments of the same bridge
+    merged_features = _merge_bridge_segments(features)
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": merged_features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(merged_features)} bridges.\n")
+    return gpd.GeoDataFrame.from_features(merged_features, crs="EPSG:4326")
+
+
+def _merge_bridge_segments(features: list[dict]) -> list[dict]:
+    """Merge bridge segments with the same name.
+
+    Args:
+        features: List of GeoJSON features.
+
+    Returns:
+        List of merged features.
+    """
+    by_name: dict[str, list[list[tuple[float, float]]]] = {}
+
+    for feature in features:
+        name = feature["properties"]["name"]
+        coords = feature["geometry"]["coordinates"]
+        if name not in by_name:
+            by_name[name] = []
+        by_name[name].append(coords)
+
+    merged = []
+    for name, coord_lists in by_name.items():
+        if len(coord_lists) == 1:
+            geom = {"type": "LineString", "coordinates": coord_lists[0]}
+        else:
+            geom = {"type": "MultiLineString", "coordinates": coord_lists}
+
+        merged.append(
+            {"type": "Feature", "properties": {"name": name}, "geometry": geom}
+        )
+
+    return merged
+
+
+def get_warsaw_metro_stations() -> gpd.GeoDataFrame:
+    """Get Warsaw metro stations with line information.
+
+    Returns:
+        GeoDataFrame with station points and line info (M1, M2, or M1/M2).
+    """
+    cache_path = CACHE_DIR / "warsaw_metro.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    # Known stations for each line (as of 2024)
+    m1_stations = {
+        "Kabaty",
+        "Natolin",
+        "Imielin",
+        "Stokłosy",
+        "Ursynów",
+        "Służew",
+        "Wilanowska",
+        "Wierzbno",
+        "Racławicka",
+        "Pole Mokotowskie",
+        "Politechnika",
+        "Centrum",
+        "Świętokrzyska",  # Also M2
+        "Ratusz-Arsenał",
+        "Dworzec Gdański",
+        "Plac Wilsona",
+        "Marymont",
+        "Słodowiec",
+        "Stare Bielany",
+        "Wawrzyszew",
+        "Młociny",
+    }
+    m2_stations = {
+        "Bródno",
+        "Kondratowicza",
+        "Zacisze",
+        "Targówek Mieszkaniowy",
+        "Trocka",
+        "Szwedzka",
+        "Dworzec Wileński",
+        "Świętokrzyska",  # Also M1
+        "Nowy Świat-Uniwersytet",
+        "Centrum Nauki Kopernik",
+        "Stadion Narodowy",
+        "Rondo ONZ",
+        "Rondo Daszyńskiego",
+        "Płocka",
+        "Młynów",
+        "Księcia Janusza",
+        "Ulrychów",
+        "Bemowo",
+    }
+
+    sys.stdout.write("Fetching metro station data...\n")
+    query = """
+    [out:json][timeout:60];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    (
+      node["railway"="station"]["station"="subway"](area.warsaw);
+      node["railway"="station"]["network"~"Metro"](area.warsaw);
+    );
+    out body;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    seen_names: set[str] = set()
+
+    for element in data.get("elements", []):
+        if element.get("type") == "node":
+            name = element.get("tags", {}).get("name", "")
+            if name and name not in seen_names:
+                seen_names.add(name)
+                # Determine line from known station lists
+                in_m1 = name in m1_stations
+                in_m2 = name in m2_stations
+                if in_m1 and in_m2:
+                    line = "M1/M2"
+                elif in_m1:
+                    line = "M1"
+                elif in_m2:
+                    line = "M2"
+                else:
+                    line = "?"  # Unknown station
+
+                features.append(
+                    {
+                        "type": "Feature",
+                        "properties": {
+                            "name": name,
+                            "line": line,
+                        },
+                        "geometry": {
+                            "type": "Point",
+                            "coordinates": [element["lon"], element["lat"]],
+                        },
+                    }
+                )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(features)} metro stations.\n")
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+def get_warsaw_streets(min_length: int = 500) -> gpd.GeoDataFrame:
+    """Get major Warsaw streets.
+
+    Args:
+        min_length: Minimum street length in meters.
+
+    Returns:
+        GeoDataFrame with street geometries.
+    """
+    cache_path = CACHE_DIR / "warsaw_streets.geojson"
+
+    if cache_path.exists():
+        gdf = gpd.read_file(cache_path)
+        # Filter by length if needed
+        return _filter_streets_by_length(gdf, min_length)
+
+    sys.stdout.write("Fetching street data from OpenStreetMap...\n")
+    query = """
+    [out:json][timeout:120];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    (
+      way["highway"="primary"]["name"](area.warsaw);
+      way["highway"="secondary"]["name"](area.warsaw);
+      way["highway"="tertiary"]["name"](area.warsaw);
+    );
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    min_coords = 2
+
+    for element in data.get("elements", []):
+        if element.get("type") == "way" and "geometry" in element:
+            coords = [(p["lon"], p["lat"]) for p in element["geometry"]]
+            if len(coords) >= min_coords:
+                features.append(
+                    {
+                        "type": "Feature",
+                        "properties": {
+                            "name": element.get("tags", {}).get("name", "Unknown"),
+                            "highway": element.get("tags", {}).get("highway", ""),
+                        },
+                        "geometry": {"type": "LineString", "coordinates": coords},
+                    }
+                )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(features)} street segments.\n")
+
+    gdf = gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+    return _filter_streets_by_length(gdf, min_length)
+
+
+def _filter_streets_by_length(
+    gdf: gpd.GeoDataFrame, min_length: int
+) -> gpd.GeoDataFrame:
+    """Filter and merge streets by name, keeping only those above min_length.
+
+    Args:
+        gdf: GeoDataFrame with street segments.
+        min_length: Minimum length in meters.
+
+    Returns:
+        GeoDataFrame with merged streets, sorted by length (longest first).
+    """
+    # Group by street name
+    streets: dict[str, list] = {}
+    for _, row in gdf.iterrows():
+        name = row.get("name", "Unknown")
+        if name and name != "Unknown":
+            if name not in streets:
+                streets[name] = []
+            streets[name].append(row.geometry)
+
+    # Merge and filter
+    result_rows = []
+    for name, geometries in streets.items():
+        merged = geometries[0] if len(geometries) == 1 else MultiLineString(geometries)
+
+        # Create temp GeoDataFrame for length calculation
+        temp_gdf = gpd.GeoDataFrame(geometry=[merged], crs="EPSG:4326")
+        temp_proj = temp_gdf.to_crs("EPSG:2180")  # Polish coordinate system
+        length = temp_proj.geometry.length.iloc[0]
+
+        if length >= min_length:
+            result_rows.append({"name": name, "geometry": merged, "length_m": length})
+
+    # Sort by length (longest first)
+    result_rows.sort(key=lambda x: x["length_m"], reverse=True)
+
+    return gpd.GeoDataFrame(result_rows, crs="EPSG:4326")
+
+
+def get_warsaw_landmarks() -> gpd.GeoDataFrame:
+    """Get Warsaw landmarks (museums, monuments, parks, etc.).
+
+    Returns:
+        GeoDataFrame with landmark points.
+    """
+    cache_path = CACHE_DIR / "warsaw_landmarks.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write("Fetching landmark data...\n")
+    # Simplified query - just museums and major attractions
+    query = """
+    [out:json][timeout:60];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    (
+      node["tourism"="museum"]["name"](area.warsaw);
+      node["tourism"="attraction"]["name"](area.warsaw);
+      node["historic"="monument"]["name"](area.warsaw);
+      way["tourism"="museum"]["name"](area.warsaw);
+      way["tourism"="attraction"]["name"](area.warsaw);
+    );
+    out center;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    seen_names: set[str] = set()
+
+    for element in data.get("elements", []):
+        name = element.get("tags", {}).get("name", "")
+        if not name or name in seen_names:
+            continue
+
+        # Get coordinates
+        if element.get("type") == "node":
+            lon, lat = element["lon"], element["lat"]
+        elif "center" in element:
+            lon, lat = element["center"]["lon"], element["center"]["lat"]
+        else:
+            continue
+
+        seen_names.add(name)
+        landmark_type = (
+            element.get("tags", {}).get("tourism")
+            or element.get("tags", {}).get("historic")
+            or element.get("tags", {}).get("leisure")
+            or "landmark"
+        )
+
+        features.append(
+            {
+                "type": "Feature",
+                "properties": {"name": name, "type": landmark_type},
+                "geometry": {"type": "Point", "coordinates": [lon, lat]},
+            }
+        )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(features)} landmarks.\n")
+
+    if not features:
+        return gpd.GeoDataFrame(
+            {"name": [], "type": [], "geometry": []}, crs="EPSG:4326"
+        )
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+def _extract_osiedla_rings(
+    element: dict[str, Any], min_coords: int
+) -> tuple[list[list[tuple[float, float]]], list[list[tuple[float, float]]]]:
+    """Extract outer and inner rings from an OSM relation.
+
+    Args:
+        element: OSM relation element.
+        min_coords: Minimum number of coordinates for a valid ring.
+
+    Returns:
+        Tuple of (outer_rings, inner_rings).
+    """
+    outer_rings: list[list[tuple[float, float]]] = []
+    inner_rings: list[list[tuple[float, float]]] = []
+
+    for member in element.get("members", []):
+        if "geometry" not in member:
+            continue
+        ring = [(p["lon"], p["lat"]) for p in member["geometry"]]
+        if len(ring) < min_coords:
+            continue
+        # Close the ring if not closed
+        if ring[0] != ring[-1]:
+            ring.append(ring[0])
+        if member.get("role") == "outer":
+            outer_rings.append(ring)
+        elif member.get("role") == "inner":
+            inner_rings.append(ring)
+
+    return outer_rings, inner_rings
+
+
+def _build_osiedla_geometry(
+    outer_rings: list[list[tuple[float, float]]],
+    inner_rings: list[list[tuple[float, float]]],
+) -> dict[str, Any]:
+    """Build GeoJSON geometry from outer and inner rings.
+
+    Args:
+        outer_rings: List of outer ring coordinates.
+        inner_rings: List of inner ring coordinates.
+
+    Returns:
+        GeoJSON geometry dict.
+    """
+    if len(outer_rings) == 1:
+        return {
+            "type": "Polygon",
+            "coordinates": [outer_rings[0], *inner_rings],
+        }
+    # Multiple outer rings - create MultiPolygon
+    # Each polygon in a MultiPolygon is [exterior, hole1, hole2, ...]
+    return {
+        "type": "MultiPolygon",
+        "coordinates": [[ring] for ring in outer_rings],
+    }
+
+
+def get_warsaw_osiedla() -> gpd.GeoDataFrame:
+    """Get Warsaw osiedla (neighborhoods).
+
+    Returns:
+        GeoDataFrame with osiedla boundaries.
+    """
+    cache_path = CACHE_DIR / "warsaw_osiedla.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write("Fetching osiedla data...\n")
+    query = """
+    [out:json][timeout:180];
+    area["name"="Warszawa"]["admin_level"="6"]->.warsaw;
+    relation["boundary"="administrative"]["admin_level"="11"]["name"](area.warsaw);
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    seen_names: set[str] = set()
+    min_ring_coords = 4
+
+    for element in data.get("elements", []):
+        if element.get("type") != "relation":
+            continue
+
+        name = element.get("tags", {}).get("name", "")
+        if not name or name in seen_names:
+            continue
+
+        outer_rings, inner_rings = _extract_osiedla_rings(element, min_ring_coords)
+        if not outer_rings:
+            continue
+
+        seen_names.add(name)
+        features.append(
+            {
+                "type": "Feature",
+                "properties": {"name": name},
+                "geometry": _build_osiedla_geometry(outer_rings, inner_rings),
+            }
+        )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(features)} osiedla.\n")
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+# =============================================================================
+# Poland Data
+# =============================================================================
+
+
+def get_polish_wojewodztwa() -> gpd.GeoDataFrame:
+    """Get Polish województwa (voivodeships).
+
+    Returns:
+        GeoDataFrame with województwa boundaries.
+    """
+    url = f"{POLSKA_GEOJSON_BASE}/wojewodztwa/wojewodztwa-min.geojson"
+    cache_path = CACHE_DIR / "polish_wojewodztwa.geojson"
+    return _download_github_geojson(url, cache_path)
+
+
+def get_polish_powiaty() -> gpd.GeoDataFrame:
+    """Get Polish powiaty (counties), sorted by population descending.
+
+    Returns:
+        GeoDataFrame with powiat boundaries and population.
+    """
+    url = f"{POLSKA_GEOJSON_BASE}/powiaty/powiaty-min.geojson"
+    cache_path = CACHE_DIR / "polish_powiaty.geojson"
+    gdf = _download_github_geojson(url, cache_path)
+
+    # Get population data from Wikidata
+    population_map = _get_powiaty_population()
+
+    # Add population column
+    def get_population(nazwa: str) -> int:
+        """Match powiat name to population data."""
+        if not nazwa:
+            return 0
+        # Remove "powiat " prefix for matching
+        clean_name = nazwa.replace("powiat ", "").strip()
+        # Try direct match
+        if clean_name in population_map:
+            return population_map[clean_name]
+        # Try lowercase
+        name_lower = clean_name.lower()
+        for pop_name, pop in population_map.items():
+            if pop_name.lower() == name_lower:
+                return pop
+        return 0
+
+    gdf["population"] = gdf["nazwa"].apply(get_population)
+
+    # Sort by population descending
+    return gdf.sort_values("population", ascending=False).reset_index(drop=True)
+
+
+def get_polish_gminy() -> gpd.GeoDataFrame:
+    """Get Polish gminy (municipalities) from OSM.
+
+    Returns:
+        GeoDataFrame with gminy boundaries.
+    """
+    cache_path = CACHE_DIR / "polish_gminy.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    sys.stdout.write("Fetching gminy data from OSM (this may take a while)...\n")
+    # Polish gminy are admin_level=7 in OSM
+    query = """
+    [out:json][timeout:300];
+    area["ISO3166-1"="PL"]->.pl;
+    relation["boundary"="administrative"]["admin_level"="7"]["name"](area.pl);
+    out geom;
+    """
+
+    data = _overpass_query(query)
+
+    features = []
+    seen_names: set[str] = set()
+    min_ring_coords = 4
+
+    for element in data.get("elements", []):
+        if element.get("type") != "relation":
+            continue
+
+        name = element.get("tags", {}).get("name", "")
+        if not name or name in seen_names:
+            continue
+
+        outer_rings, inner_rings = _extract_osiedla_rings(element, min_ring_coords)
+        if not outer_rings:
+            continue
+
+        seen_names.add(name)
+        features.append(
+            {
+                "type": "Feature",
+                "properties": {"name": name},
+                "geometry": _build_osiedla_geometry(outer_rings, inner_rings),
+            }
+        )
+
+    _ensure_cache_dir()
+    geojson = {"type": "FeatureCollection", "features": features}
+    cache_path.write_text(json.dumps(geojson))
+
+    sys.stdout.write(f"Cached {len(features)} gminy.\n")
+    return gpd.GeoDataFrame.from_features(features, crs="EPSG:4326")
+
+
+def get_poland_boundary() -> gpd.GeoDataFrame:
+    """Get Poland country boundary.
+
+    Returns:
+        GeoDataFrame with Poland boundary.
+    """
+    cache_path = CACHE_DIR / "poland_boundary.geojson"
+
+    if cache_path.exists():
+        return gpd.read_file(cache_path)
+
+    # Dissolve from województwa
+    woj = get_polish_wojewodztwa()
+    # Fix invalid geometries with buffer(0)
+    woj["geometry"] = woj["geometry"].buffer(0)
+    poland = gpd.GeoDataFrame(geometry=[woj.union_all()], crs=woj.crs)
+
+    _ensure_cache_dir()
+    poland.to_file(cache_path, driver="GeoJSON")
+
+    return poland
+
+
+# =============================================================================
+# Utility Functions
+# =============================================================================
+
+
+def download_all_warsaw_data() -> None:
+    """Download and cache all Warsaw geographic data.
+
+    Call this once to pre-populate the cache.
+    """
+    sys.stdout.write("Downloading all Warsaw geographic data...\n")
+    sys.stdout.write("=" * 60 + "\n")
+
+    sys.stdout.write("\n1. Warsaw boundary...\n")
+    get_warsaw_boundary()
+
+    sys.stdout.write("\n2. Vistula river...\n")
+    get_vistula_river()
+
+    sys.stdout.write("\n3. Warsaw bridges...\n")
+    get_warsaw_bridges()
+
+    sys.stdout.write("\n4. Metro stations...\n")
+    get_warsaw_metro_stations()
+
+    sys.stdout.write("\n5. Major streets...\n")
+    get_warsaw_streets()
+
+    sys.stdout.write("\n6. Landmarks...\n")
+    get_warsaw_landmarks()
+
+    sys.stdout.write("\n7. Osiedla...\n")
+    get_warsaw_osiedla()
+
+    sys.stdout.write("\n" + "=" * 60 + "\n")
+    sys.stdout.write("All Warsaw data cached successfully!\n")
+
+
+def download_all_poland_data() -> None:
+    """Download and cache all Poland geographic data.
+
+    Call this once to pre-populate the cache.
+    """
+    sys.stdout.write("Downloading all Poland geographic data...\n")
+    sys.stdout.write("=" * 60 + "\n")
+
+    sys.stdout.write("\n1. Województwa...\n")
+    get_polish_wojewodztwa()
+
+    sys.stdout.write("\n2. Powiaty...\n")
+    get_polish_powiaty()
+
+    sys.stdout.write("\n3. Gminy (this may take a while)...\n")
+    get_polish_gminy()
+
+    sys.stdout.write("\n4. Poland boundary...\n")
+    get_poland_boundary()
+
+    sys.stdout.write("\n" + "=" * 60 + "\n")
+    sys.stdout.write("All Poland data cached successfully!\n")
+
+
+def clear_cache() -> None:
+    """Clear all cached data."""
+    if CACHE_DIR.exists():
+        shutil.rmtree(CACHE_DIR)
+        sys.stdout.write("Cache cleared.\n")
+    else:
+        sys.stdout.write("Cache directory does not exist.\n")
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Manage geographic data cache")
+    parser.add_argument(
+        "--download-warsaw",
+        action="store_true",
+        help="Download all Warsaw data",
+    )
+    parser.add_argument(
+        "--download-poland",
+        action="store_true",
+        help="Download all Poland data",
+    )
+    parser.add_argument(
+        "--download-all",
+        action="store_true",
+        help="Download all data",
+    )
+    parser.add_argument(
+        "--clear-cache",
+        action="store_true",
+        help="Clear cached data",
+    )
+
+    args = parser.parse_args()
+
+    if args.clear_cache:
+        clear_cache()
+    elif args.download_warsaw:
+        download_all_warsaw_data()
+    elif args.download_poland:
+        download_all_poland_data()
+    elif args.download_all:
+        download_all_warsaw_data()
+        download_all_poland_data()
+    else:
+        parser.print_help()
diff --git a/python_pkg/polish_gminy/__init__.py b/python_pkg/polish_gminy/__init__.py
new file mode 100644
index 0000000..d4273f1
--- /dev/null
+++ b/python_pkg/polish_gminy/__init__.py
@@ -0,0 +1 @@
+"""Polish gminy (municipalities) Anki flashcard generator."""
diff --git a/python_pkg/polish_gminy/polish_gminy_anki.py b/python_pkg/polish_gminy/polish_gminy_anki.py
new file mode 100755
index 0000000..109d4a7
--- /dev/null
+++ b/python_pkg/polish_gminy/polish_gminy_anki.py
@@ -0,0 +1,404 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Polish gminy (municipalities).
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Polish municipalities highlighted on a country map.
+
+Uses multiprocessing to parallelize image generation for ~4x speedup.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+import multiprocessing as mp
+from pathlib import Path
+import random
+import sys
+import tempfile
+from typing import TYPE_CHECKING
+
+import genanki
+import geopandas as gpd
+import matplotlib as mpl
+
+mpl.use("Agg")  # Non-interactive backend for multiprocessing
+import matplotlib.pyplot as plt
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+from geo_data import get_poland_boundary, get_polish_gminy
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# 2500 colors for gminy (cycling through)
+GMINA_COLORS = [
+    "#E74C3C",
+    "#3498DB",
+    "#2ECC71",
+    "#9B59B6",
+    "#F39C12",
+    "#1ABC9C",
+    "#E91E63",
+    "#00BCD4",
+    "#8BC34A",
+    "#FF5722",
+    "#673AB7",
+    "#FFEB3B",
+    "#795548",
+    "#607D8B",
+    "#CDDC39",
+    "#FF9800",
+    "#4CAF50",
+    "#03A9F4",
+    "#F44336",
+    "#009688",
+    "#3F51B5",
+    "#FFC107",
+    "#9E9E9E",
+    "#00E676",
+    "#FF4081",
+    "#448AFF",
+    "#69F0AE",
+    "#FFD740",
+    "#40C4FF",
+    "#B388FF",
+    "#EA80FC",
+    "#82B1FF",
+    "#A7FFEB",
+    "#FFFF8D",
+    "#FF80AB",
+    "#536DFE",
+    "#64FFDA",
+    "#FFE57F",
+    "#80D8FF",
+    "#B9F6CA",
+    "#CF6679",
+    "#BB86FC",
+    "#03DAC6",
+    "#018786",
+    "#6200EE",
+    "#3700B3",
+    "#B00020",
+    "#FF0266",
+    "#C51162",
+    "#AA00FF",
+]
+
+
+def create_gmina_map(
+    gmina_name: str,
+    gmina_gdf: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    color_map: dict[str, str],
+) -> Figure:
+    """Create a map showing Poland with one gmina highlighted."""
+    fig, ax = plt.subplots(figsize=(10, 12))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Poland as a plain gray shape
+    poland_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    poland_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=1)
+
+    # Get pre-computed color
+    fill_color = color_map.get(gmina_name, GMINA_COLORS[0])
+
+    # Plot the highlighted gmina
+    gmina_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
+    gmina_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=3)
+
+    # Set bounds to Poland
+    bounds = poland_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_gmina_image_bytes(
+    gmina_name: str,
+    gmina_gdf: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    color_map: dict[str, str],
+) -> bytes:
+    """Generate a gmina map image as bytes."""
+    fig = create_gmina_map(gmina_name, gmina_gdf, poland_boundary, color_map)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def _build_color_map(names: list[str]) -> dict[str, str]:
+    """Pre-compute color mapping for all names.
+
+    Args:
+        names: List of all gmina names.
+
+    Returns:
+        Dictionary mapping name to color.
+    """
+    sorted_names = sorted(names)
+    return {
+        name: GMINA_COLORS[i % len(GMINA_COLORS)] for i, name in enumerate(sorted_names)
+    }
+
+
+# Global variables for multiprocessing (set via initializer)
+_mp_poland_boundary: gpd.GeoDataFrame | None = None
+_mp_color_map: dict[str, str] | None = None
+
+
+def _init_worker(
+    poland_geojson: str,
+    color_map: dict[str, str],
+) -> None:
+    """Initialize worker process with shared data."""
+    global _mp_poland_boundary, _mp_color_map  # noqa: PLW0603
+    _mp_poland_boundary = gpd.read_file(poland_geojson)
+    _mp_color_map = color_map
+
+
+def _render_single_gmina(args: tuple[str, str]) -> tuple[str, bytes]:
+    """Render a single gmina image (worker function).
+
+    Args:
+        args: Tuple of (gmina_name, gmina_geojson_str).
+
+    Returns:
+        Tuple of (gmina_name, image_bytes).
+    """
+    gmina_name, gmina_geojson = args
+    gmina_gdf = gpd.read_file(gmina_geojson)
+
+    assert _mp_poland_boundary is not None  # noqa: S101
+    assert _mp_color_map is not None  # noqa: S101
+
+    image_data = generate_gmina_image_bytes(
+        gmina_name, gmina_gdf, _mp_poland_boundary, _mp_color_map
+    )
+    return gmina_name, image_data
+
+
+def generate_anki_package(
+    gminy: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Polish Gminy",
+) -> genanki.Package:
+    """Generate Anki package for Polish gminy."""
+    model_id_hash = hashlib.md5(f"polish_gminy_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Polish Gmina Model",
+        fields=[
+            {"name": "GminaMap"},
+            {"name": "GminaName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{GminaMap}}</div>',
+                "afmt": '<div class="map-container">{{GminaMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{GminaName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    # Pre-compute color mapping once (avoids O(n²) sorting)
+    color_map = _build_color_map(gminy["name"].tolist())
+
+    # Prepare data for parallel processing
+    # Serialize GeoDataFrames to GeoJSON strings for pickling
+    with tempfile.NamedTemporaryFile(suffix=".geojson", delete=False) as f:
+        poland_boundary.to_file(f.name, driver="GeoJSON")
+        poland_geojson_path = f.name
+
+    # Prepare work items: (gmina_name, gmina_geojson_str)
+    work_items: list[tuple[str, str]] = []
+    for _, row in gminy.iterrows():
+        gmina_gdf = gpd.GeoDataFrame([row], crs=gminy.crs)
+        gmina_geojson = gmina_gdf.to_json()
+        work_items.append((row["name"], gmina_geojson))
+
+    # Use multiprocessing for parallel rendering
+    num_workers = min(mp.cpu_count(), 8)
+    sys.stdout.write(
+        f"Rendering {len(work_items)} images using {num_workers} workers...\n"
+    )
+
+    results: dict[str, bytes] = {}
+    with mp.Pool(
+        num_workers,
+        initializer=_init_worker,
+        initargs=(poland_geojson_path, color_map),
+    ) as pool:
+        for i, (gmina_name, image_data) in enumerate(
+            pool.imap_unordered(_render_single_gmina, work_items)
+        ):
+            results[gmina_name] = image_data
+            if (i + 1) % 100 == 0:
+                sys.stdout.write(f"  Rendered {i + 1}/{len(work_items)}...\n")
+
+    # Clean up temp file
+    Path(poland_geojson_path).unlink(missing_ok=True)
+
+    # Create notes from results
+    for _, row in gminy.iterrows():
+        gmina_name = row["name"]
+        image_data = results[gmina_name]
+        filename = f"gmina_{gmina_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', gmina_name],
+            tags=["geography", "poland", "gminy"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Polish gminy.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: polish_gminy.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Polish Gminy",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("polish_gminy.apkg")
+
+    try:
+        sys.stdout.write("Loading gminy data...\n")
+        gminy = get_polish_gminy()
+        poland_boundary = get_poland_boundary()
+        num_gminy = len(gminy)
+
+        sys.stdout.write(f"Generating flashcards for {num_gminy} gminy...\n")
+        sys.stdout.write("This will take a while for ~2500 gminy...\n")
+
+        package = generate_anki_package(gminy, poland_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_gminy = list(gminy.iterrows())[: args.preview_count]
+            # Pre-compute color mapping for previews
+            color_map = _build_color_map(gminy["name"].tolist())
+            sys.stdout.write(
+                f"Exporting {len(preview_gminy)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_gminy:
+                gmina_name = row["name"]
+                gmina_gdf = gpd.GeoDataFrame([row], crs=gminy.crs)
+                image_data = generate_gmina_image_bytes(
+                    gmina_name, gmina_gdf, poland_boundary, color_map
+                )
+                safe_name = gmina_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Gminy: {num_gminy}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/polish_gminy/run.sh b/python_pkg/polish_gminy/run.sh
new file mode 100755
index 0000000..ab83b32
--- /dev/null
+++ b/python_pkg/polish_gminy/run.sh
@@ -0,0 +1,36 @@
+#!/bin/bash
+# Script to generate Polish Gminy Anki deck
+# WARNING: This will take a long time (~2500 gminy)
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Polish Gminy Anki Generator ==="
+echo "WARNING: This may take a very long time (fetching ~2500 gminy)"
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m polish_gminy_anki --output polish_gminy.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/polish_gminy.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/polish_powiaty/__init__.py b/python_pkg/polish_powiaty/__init__.py
new file mode 100644
index 0000000..a01be4f
--- /dev/null
+++ b/python_pkg/polish_powiaty/__init__.py
@@ -0,0 +1 @@
+"""Polish powiaty (counties) Anki flashcard generator."""
diff --git a/python_pkg/polish_powiaty/polish_powiaty_anki.py b/python_pkg/polish_powiaty/polish_powiaty_anki.py
new file mode 100755
index 0000000..1080fda
--- /dev/null
+++ b/python_pkg/polish_powiaty/polish_powiaty_anki.py
@@ -0,0 +1,310 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Polish powiaty (counties).
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Polish counties highlighted on a country map.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING
+
+import genanki
+import geopandas as gpd
+import matplotlib.pyplot as plt
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+from geo_data import get_poland_boundary, get_polish_powiaty
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# 400 distinct colors for powiaty (cycling through)
+POWIAT_COLORS = [
+    "#E74C3C",
+    "#3498DB",
+    "#2ECC71",
+    "#9B59B6",
+    "#F39C12",
+    "#1ABC9C",
+    "#E91E63",
+    "#00BCD4",
+    "#8BC34A",
+    "#FF5722",
+    "#673AB7",
+    "#FFEB3B",
+    "#795548",
+    "#607D8B",
+    "#CDDC39",
+    "#FF9800",
+    "#4CAF50",
+    "#03A9F4",
+    "#F44336",
+    "#009688",
+    "#3F51B5",
+    "#FFC107",
+    "#9E9E9E",
+    "#00E676",
+    "#FF4081",
+    "#448AFF",
+    "#69F0AE",
+    "#FFD740",
+    "#40C4FF",
+    "#B388FF",
+    "#EA80FC",
+    "#82B1FF",
+    "#A7FFEB",
+    "#FFFF8D",
+    "#FF80AB",
+    "#536DFE",
+    "#64FFDA",
+    "#FFE57F",
+    "#80D8FF",
+    "#B9F6CA",
+    "#CF6679",
+    "#BB86FC",
+    "#03DAC6",
+    "#018786",
+    "#6200EE",
+    "#3700B3",
+    "#B00020",
+    "#FF0266",
+    "#C51162",
+    "#AA00FF",
+]
+
+
+def create_powiat_map(
+    powiat_name: str,
+    powiat_gdf: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    all_powiaty: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Poland with one powiat highlighted."""
+    fig, ax = plt.subplots(figsize=(10, 12))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Poland as a plain gray shape
+    poland_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    poland_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=1)
+
+    # Assign color based on sorted names
+    sorted_names = sorted(all_powiaty["nazwa"].tolist())
+    color_idx = sorted_names.index(powiat_name) % len(POWIAT_COLORS)
+    fill_color = POWIAT_COLORS[color_idx]
+
+    # Plot the highlighted powiat
+    powiat_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
+    powiat_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=3)
+
+    # Set bounds to Poland
+    bounds = poland_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_powiat_image_bytes(
+    powiat_name: str,
+    powiat_gdf: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    all_powiaty: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate a powiat map image as bytes."""
+    fig = create_powiat_map(powiat_name, powiat_gdf, poland_boundary, all_powiaty)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    powiaty: gpd.GeoDataFrame,
+    poland_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Polish Powiaty",
+) -> genanki.Package:
+    """Generate Anki package for Polish powiaty."""
+    model_id_hash = hashlib.md5(f"polish_powiaty_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Polish Powiat Model",
+        fields=[
+            {"name": "PowiatMap"},
+            {"name": "PowiatName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{PowiatMap}}</div>',
+                "afmt": '<div class="map-container">{{PowiatMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{PowiatName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    for _, row in powiaty.iterrows():
+        powiat_name = row["nazwa"]
+        powiat_gdf = gpd.GeoDataFrame([row], crs=powiaty.crs)
+
+        image_data = generate_powiat_image_bytes(
+            powiat_name, powiat_gdf, poland_boundary, powiaty
+        )
+        filename = f"powiat_{powiat_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', powiat_name],
+            tags=["geography", "poland", "powiaty"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Polish powiaty.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: polish_powiaty.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Polish Powiaty",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("polish_powiaty.apkg")
+
+    try:
+        sys.stdout.write("Loading powiaty data...\n")
+        powiaty = get_polish_powiaty()
+        poland_boundary = get_poland_boundary()
+        num_powiaty = len(powiaty)
+
+        sys.stdout.write(f"Generating flashcards for {num_powiaty} powiaty...\n")
+
+        package = generate_anki_package(powiaty, poland_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_powiaty = list(powiaty.iterrows())[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_powiaty)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_powiaty:
+                powiat_name = row["nazwa"]
+                powiat_gdf = gpd.GeoDataFrame([row], crs=powiaty.crs)
+                image_data = generate_powiat_image_bytes(
+                    powiat_name, powiat_gdf, poland_boundary, powiaty
+                )
+                safe_name = powiat_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Powiaty: {num_powiaty}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/polish_powiaty/run.sh b/python_pkg/polish_powiaty/run.sh
new file mode 100755
index 0000000..2d5d8a1
--- /dev/null
+++ b/python_pkg/polish_powiaty/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Polish Powiaty Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Polish Powiaty Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m polish_powiaty_anki --output polish_powiaty.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/polish_powiaty.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/preview_all.html b/python_pkg/preview_all.html
new file mode 100644
index 0000000..f1347a2
--- /dev/null
+++ b/python_pkg/preview_all.html
@@ -0,0 +1,82 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <title>All Preview Images</title>
+    <style>
+        body { font-family: Arial, sans-serif; margin: 20px; background: #f5f5f5; }
+        h1 { color: #333; }
+        h2 { color: #666; margin-top: 30px; border-bottom: 2px solid #ddd; padding-bottom: 10px; }
+        .gallery { display: flex; flex-wrap: wrap; gap: 20px; }
+        .card { background: white; padding: 15px; border-radius: 8px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); }
+        .card img { max-width: 300px; max-height: 300px; object-fit: contain; }
+        .card p { margin-top: 10px; text-align: center; font-weight: bold; color: #333; }
+    </style>
+</head>
+<body>
+    <h1>🗺️ Anki Geography Cards - Preview Images</h1>
+
+    <h2>🛣️ Warsaw Streets (Top 5 Longest)</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_streets/preview_images/Wał_Miedzeszyński.png"><p>Wał Miedzeszyński (27.8km)</p></div>
+        <div class="card"><img src="warsaw_streets/preview_images/Puławska.png"><p>Puławska (25.3km)</p></div>
+        <div class="card"><img src="warsaw_streets/preview_images/Aleje_Jerozolimskie.png"><p>Aleje Jerozolimskie (22.2km)</p></div>
+        <div class="card"><img src="warsaw_streets/preview_images/Modlińska.png"><p>Modlińska (19.2km)</p></div>
+        <div class="card"><img src="warsaw_streets/preview_images/Patriotów.png"><p>Patriotów (15.9km)</p></div>
+    </div>
+
+    <h2>🚇 Warsaw Metro Stations</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_metro/preview_images/Ratusz-Arsenał.png"><p>Ratusz-Arsenał</p></div>
+        <div class="card"><img src="warsaw_metro/preview_images/Marymont.png"><p>Marymont</p></div>
+        <div class="card"><img src="warsaw_metro/preview_images/Stare_Bielany.png"><p>Stare Bielany</p></div>
+        <div class="card"><img src="warsaw_metro/preview_images/Wawrzyszew.png"><p>Wawrzyszew</p></div>
+        <div class="card"><img src="warsaw_metro/preview_images/Młociny.png"><p>Młociny</p></div>
+    </div>
+
+    <h2>🌉 Warsaw Bridges</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_bridges/preview_images/Most_Siekierkowski.png"><p>Most Siekierkowski</p></div>
+        <div class="card"><img src="warsaw_bridges/preview_images/Most_Świętokrzyski.png"><p>Most Świętokrzyski</p></div>
+        <div class="card"><img src="warsaw_bridges/preview_images/Most_Generała_Stefana_Grota-Roweckiego.png"><p>Most Grota-Roweckiego</p></div>
+        <div class="card"><img src="warsaw_bridges/preview_images/Most_Marii_Skłodowskiej-Curie.png"><p>Most M. Skłodowskiej-Curie</p></div>
+        <div class="card"><img src="warsaw_bridges/preview_images/Most_Anny_Jagiellonki.png"><p>Most Anny Jagiellonki</p></div>
+    </div>
+
+    <h2>🏛️ Warsaw Landmarks</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_landmarks/preview_images/Pomnik_Kościuszkowców.png"><p>Pomnik Kościuszkowców</p></div>
+        <div class="card"><img src="warsaw_landmarks/preview_images/Pomnik_Państwa_Podziemnego_i_AK.png"><p>Pomnik Państwa Podziemnego i AK</p></div>
+        <div class="card"><img src="warsaw_landmarks/preview_images/Muzeum_Etnograficzne.png"><p>Muzeum Etnograficzne</p></div>
+        <div class="card"><img src="warsaw_landmarks/preview_images/Żydowski_Instytut_Historyczny.png"><p>Żydowski Instytut Historyczny</p></div>
+        <div class="card"><img src="warsaw_landmarks/preview_images/Muzeum_Marii_Skłodowskiej-Curie.png"><p>Muzeum M. Skłodowskiej-Curie</p></div>
+    </div>
+
+    <h2>🏘️ Warsaw Osiedla</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Centrum.png"><p>Grochów-Centrum</p></div>
+        <div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Kinowa.png"><p>Grochów-Kinowa</p></div>
+        <div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Południowy.png"><p>Grochów-Południowy</p></div>
+        <div class="card"><img src="warsaw_osiedla/preview_images/Grochów-Północny.png"><p>Grochów-Północny</p></div>
+        <div class="card"><img src="warsaw_osiedla/preview_images/Przyczółek_Grochowski.png"><p>Przyczółek Grochowski</p></div>
+    </div>
+
+    <h2>🗺️ Polish Powiaty</h2>
+    <div class="gallery">
+        <div class="card"><img src="polish_powiaty/preview_images/powiat_ropczycko-sędziszowski.png"><p>Powiat Ropczycko-Sędziszowski</p></div>
+        <div class="card"><img src="polish_powiaty/preview_images/powiat_łosicki.png"><p>Powiat Łosicki</p></div>
+        <div class="card"><img src="polish_powiaty/preview_images/powiat_piaseczyński.png"><p>Powiat Piaseczyński</p></div>
+        <div class="card"><img src="polish_powiaty/preview_images/powiat_radomski.png"><p>Powiat Radomski</p></div>
+        <div class="card"><img src="polish_powiaty/preview_images/powiat_sierpecki.png"><p>Powiat Sierpecki</p></div>
+    </div>
+
+    <h2>🏙️ Warsaw Districts</h2>
+    <div class="gallery">
+        <div class="card"><img src="warsaw_districts/preview_images/Śródmieście.png"><p>Śródmieście</p></div>
+        <div class="card"><img src="warsaw_districts/preview_images/Mokotów.png"><p>Mokotów</p></div>
+        <div class="card"><img src="warsaw_districts/preview_images/Praga_Północ.png"><p>Praga Północ</p></div>
+        <div class="card"><img src="warsaw_districts/preview_images/Praga_Południe.png"><p>Praga Południe</p></div>
+        <div class="card"><img src="warsaw_districts/preview_images/Wola.png"><p>Wola</p></div>
+    </div>
+</body>
+</html>
diff --git a/python_pkg/warsaw_bridges/__init__.py b/python_pkg/warsaw_bridges/__init__.py
new file mode 100644
index 0000000..4d27c39
--- /dev/null
+++ b/python_pkg/warsaw_bridges/__init__.py
@@ -0,0 +1 @@
+"""Warsaw bridges Anki flashcard generator."""
diff --git a/python_pkg/warsaw_bridges/run.sh b/python_pkg/warsaw_bridges/run.sh
new file mode 100755
index 0000000..c00a15c
--- /dev/null
+++ b/python_pkg/warsaw_bridges/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Warsaw Bridges Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Warsaw Bridges Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m warsaw_bridges_anki --output warsaw_bridges.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_bridges.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/warsaw_bridges/warsaw_bridges_anki.py b/python_pkg/warsaw_bridges/warsaw_bridges_anki.py
new file mode 100755
index 0000000..883ef70
--- /dev/null
+++ b/python_pkg/warsaw_bridges/warsaw_bridges_anki.py
@@ -0,0 +1,318 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Warsaw bridges over the Vistula.
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Warsaw bridges highlighted on a city map.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING
+
+import genanki
+import geopandas as gpd
+import matplotlib.pyplot as plt
+
+# Import shared data module
+sys.path.insert(0, str(Path(__file__).parent.parent))
+from geo_data import get_vistula_river, get_warsaw_bridges
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# Bridge color
+BRIDGE_COLOR = "#E74C3C"  # Red
+RIVER_COLOR = "#3498DB"  # Blue
+
+
+def load_warsaw_boundary() -> gpd.GeoDataFrame:
+    """Load Warsaw boundary from districts GeoJSON.
+
+    Returns:
+        GeoDataFrame with Warsaw boundary.
+
+    Raises:
+        FileNotFoundError: If boundary data file not found.
+    """
+    districts_path = (
+        Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+        return warsaw_boundary
+
+    msg = "Warsaw boundary data not found"
+    raise FileNotFoundError(msg)
+
+
+def create_bridge_map(
+    bridge_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    vistula: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Warsaw with one bridge highlighted.
+
+    Args:
+        bridge_gdf: GeoDataFrame with the bridge to highlight.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+        vistula: GeoDataFrame with Vistula river geometry.
+
+    Returns:
+        Matplotlib figure with the map.
+    """
+    fig, ax = plt.subplots(figsize=(10, 10))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Warsaw as a plain gray shape
+    warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
+
+    # Plot Vistula river
+    vistula.plot(ax=ax, color=RIVER_COLOR, linewidth=3, alpha=0.7)
+
+    # Plot the bridge
+    bridge_gdf.plot(ax=ax, color=BRIDGE_COLOR, linewidth=6, alpha=0.9)
+
+    # Set bounds to Warsaw
+    bounds = warsaw_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_bridge_image_bytes(
+    bridge_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    vistula: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate a bridge map image as bytes.
+
+    Args:
+        bridge_gdf: GeoDataFrame with the bridge.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+        vistula: GeoDataFrame with Vistula river.
+
+    Returns:
+        PNG image bytes.
+    """
+    fig = create_bridge_map(bridge_gdf, warsaw_boundary, vistula)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    bridges: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    vistula: gpd.GeoDataFrame,
+    deck_name: str = "Warsaw Bridges",
+) -> genanki.Package:
+    """Generate Anki package for Warsaw bridges.
+
+    Args:
+        bridges: GeoDataFrame with all bridges.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+        vistula: GeoDataFrame with Vistula river.
+        deck_name: Name for the Anki deck.
+
+    Returns:
+        Generated Anki package.
+    """
+    model_id_hash = hashlib.md5(f"warsaw_bridges_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Warsaw Bridge Model",
+        fields=[
+            {"name": "BridgeMap"},
+            {"name": "BridgeName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{BridgeMap}}</div>',
+                "afmt": '<div class="map-container">{{BridgeMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{BridgeName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    for _, row in bridges.iterrows():
+        bridge_name = row["name"]
+        bridge_gdf = gpd.GeoDataFrame([row], crs=bridges.crs)
+
+        image_data = generate_bridge_image_bytes(bridge_gdf, warsaw_boundary, vistula)
+        filename = f"bridge_{bridge_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', bridge_name],
+            tags=["geography", "warsaw", "bridges"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point.
+
+    Args:
+        argv: Command-line arguments.
+
+    Returns:
+        Exit code.
+    """
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Warsaw bridges.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: warsaw_bridges.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Warsaw Bridges",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("warsaw_bridges.apkg")
+
+    try:
+        sys.stdout.write("Loading bridge data...\n")
+        bridges = get_warsaw_bridges()
+        vistula = get_vistula_river()
+        warsaw_boundary = load_warsaw_boundary()
+        num_bridges = len(bridges)
+
+        sys.stdout.write(f"Generating flashcards for {num_bridges} bridges...\n")
+
+        package = generate_anki_package(
+            bridges, warsaw_boundary, vistula, args.deck_name
+        )
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_bridges = list(bridges.iterrows())[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_bridges)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_bridges:
+                bridge_name = row["name"]
+                bridge_gdf = gpd.GeoDataFrame([row], crs=bridges.crs)
+                image_data = generate_bridge_image_bytes(
+                    bridge_gdf, warsaw_boundary, vistula
+                )
+                safe_name = bridge_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Bridges: {num_bridges}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/warsaw_landmarks/__init__.py b/python_pkg/warsaw_landmarks/__init__.py
new file mode 100644
index 0000000..67717a7
--- /dev/null
+++ b/python_pkg/warsaw_landmarks/__init__.py
@@ -0,0 +1 @@
+"""Warsaw landmarks Anki flashcard generator."""
diff --git a/python_pkg/warsaw_landmarks/run.sh b/python_pkg/warsaw_landmarks/run.sh
new file mode 100755
index 0000000..d2db000
--- /dev/null
+++ b/python_pkg/warsaw_landmarks/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Warsaw Landmarks Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Warsaw Landmarks Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m warsaw_landmarks_anki --output warsaw_landmarks.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_landmarks.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/warsaw_landmarks/warsaw_landmarks_anki.py b/python_pkg/warsaw_landmarks/warsaw_landmarks_anki.py
new file mode 100755
index 0000000..86978b1
--- /dev/null
+++ b/python_pkg/warsaw_landmarks/warsaw_landmarks_anki.py
@@ -0,0 +1,272 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Warsaw landmarks.
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Warsaw landmarks (monuments, museums, parks, historic sites).
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+import genanki
+from geo_data import get_warsaw_landmarks
+import geopandas as gpd
+import matplotlib.pyplot as plt
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# Landmark marker color
+LANDMARK_COLOR = "#9B59B6"  # Purple
+
+
+def load_warsaw_boundary() -> gpd.GeoDataFrame:
+    """Load Warsaw boundary from districts GeoJSON."""
+    districts_path = (
+        Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+        return warsaw_boundary
+
+    msg = "Warsaw boundary data not found"
+    raise FileNotFoundError(msg)
+
+
+def create_landmark_map(
+    landmark_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Warsaw with one landmark highlighted."""
+    fig, ax = plt.subplots(figsize=(10, 10))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Warsaw as a plain gray shape
+    warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
+
+    # Plot the landmark as a star marker
+    landmark_gdf.plot(
+        ax=ax,
+        color=LANDMARK_COLOR,
+        markersize=400,
+        marker="*",
+        alpha=0.9,
+        edgecolor="#1A1A1A",
+        linewidth=1.5,
+    )
+
+    # Set bounds to Warsaw
+    bounds = warsaw_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_landmark_image_bytes(
+    landmark_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate a landmark map image as bytes."""
+    fig = create_landmark_map(landmark_gdf, warsaw_boundary)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    landmarks: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Warsaw Landmarks",
+) -> genanki.Package:
+    """Generate Anki package for Warsaw landmarks."""
+    model_id_hash = hashlib.md5(f"warsaw_landmarks_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Warsaw Landmark Model",
+        fields=[
+            {"name": "LandmarkMap"},
+            {"name": "LandmarkName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{LandmarkMap}}</div>',
+                "afmt": '<div class="map-container">{{LandmarkMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{LandmarkName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    for _, row in landmarks.iterrows():
+        landmark_name = row["name"]
+        landmark_gdf = gpd.GeoDataFrame([row], crs=landmarks.crs)
+
+        image_data = generate_landmark_image_bytes(landmark_gdf, warsaw_boundary)
+        filename = f"landmark_{landmark_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', landmark_name],
+            tags=["geography", "warsaw", "landmarks"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Warsaw landmarks.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: warsaw_landmarks.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Warsaw Landmarks",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("warsaw_landmarks.apkg")
+
+    try:
+        sys.stdout.write("Loading landmark data...\n")
+        landmarks = get_warsaw_landmarks()
+        warsaw_boundary = load_warsaw_boundary()
+        num_landmarks = len(landmarks)
+
+        sys.stdout.write(f"Generating flashcards for {num_landmarks} landmarks...\n")
+
+        package = generate_anki_package(landmarks, warsaw_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_landmarks = list(landmarks.iterrows())[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_landmarks)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_landmarks:
+                landmark_name = row["name"]
+                landmark_gdf = gpd.GeoDataFrame([row], crs=landmarks.crs)
+                image_data = generate_landmark_image_bytes(
+                    landmark_gdf, warsaw_boundary
+                )
+                safe_name = landmark_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Landmarks: {num_landmarks}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/warsaw_metro/__init__.py b/python_pkg/warsaw_metro/__init__.py
new file mode 100644
index 0000000..f08d025
--- /dev/null
+++ b/python_pkg/warsaw_metro/__init__.py
@@ -0,0 +1 @@
+"""Warsaw metro stations Anki flashcard generator."""
diff --git a/python_pkg/warsaw_metro/run.sh b/python_pkg/warsaw_metro/run.sh
new file mode 100755
index 0000000..8b05b6a
--- /dev/null
+++ b/python_pkg/warsaw_metro/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Warsaw Metro Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Warsaw Metro Stations Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m warsaw_metro_anki --output warsaw_metro.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_metro.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/warsaw_metro/warsaw_metro_anki.py b/python_pkg/warsaw_metro/warsaw_metro_anki.py
new file mode 100755
index 0000000..c8d7b50
--- /dev/null
+++ b/python_pkg/warsaw_metro/warsaw_metro_anki.py
@@ -0,0 +1,295 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Warsaw metro stations.
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Warsaw metro stations highlighted on a city map.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+import genanki
+from geo_data import get_warsaw_metro_stations
+import geopandas as gpd
+import matplotlib.pyplot as plt
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# Station marker color
+STATION_COLOR = "#E74C3C"
+
+
+def load_warsaw_boundary() -> gpd.GeoDataFrame:
+    """Load Warsaw boundary from districts GeoJSON.
+
+    Returns:
+        GeoDataFrame with Warsaw boundary.
+    """
+    districts_path = (
+        Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+        return warsaw_boundary
+
+    msg = "Warsaw boundary data not found"
+    raise FileNotFoundError(msg)
+
+
+def create_station_map(
+    station_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Warsaw with one metro station highlighted.
+
+    Args:
+        station_gdf: GeoDataFrame with the station point.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+
+    Returns:
+        A matplotlib Figure object.
+    """
+    fig, ax = plt.subplots(figsize=(10, 10))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Warsaw as a plain gray shape
+    warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
+
+    # Plot the station as a large dot
+    station_gdf.plot(
+        ax=ax,
+        color=STATION_COLOR,
+        markersize=300,
+        marker="o",
+        alpha=0.9,
+        edgecolor="#1A1A1A",
+        linewidth=2,
+    )
+
+    # Set bounds to Warsaw
+    bounds = warsaw_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_station_image_bytes(
+    station_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate a station map image as bytes."""
+    fig = create_station_map(station_gdf, warsaw_boundary)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    stations: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Warsaw Metro Stations",
+) -> genanki.Package:
+    """Generate Anki package for Warsaw metro stations."""
+    model_id_hash = hashlib.md5(f"warsaw_metro_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.line-info {
+    font-size: 24px;
+    margin-top: 10px;
+    color: #666;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+.card.night_mode .line-info {
+    color: #AAA;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Warsaw Metro Model",
+        fields=[
+            {"name": "StationMap"},
+            {"name": "StationName"},
+            {"name": "Line"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{StationMap}}</div>',
+                "afmt": '<div class="map-container">{{StationMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{StationName}}</div>'
+                '<div class="line-info">{{Line}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    for _, row in stations.iterrows():
+        station_name = row["name"]
+        line = row.get("line", "")
+        station_gdf = gpd.GeoDataFrame([row], crs=stations.crs)
+
+        image_data = generate_station_image_bytes(station_gdf, warsaw_boundary)
+        filename = f"metro_{station_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', station_name, line],
+            tags=["geography", "warsaw", "metro"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Warsaw metro stations.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: warsaw_metro.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Warsaw Metro Stations",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("warsaw_metro.apkg")
+
+    try:
+        sys.stdout.write("Loading metro station data...\n")
+        stations = get_warsaw_metro_stations()
+        warsaw_boundary = load_warsaw_boundary()
+        num_stations = len(stations)
+
+        sys.stdout.write(
+            f"Generating flashcards for {num_stations} metro stations...\n"
+        )
+
+        package = generate_anki_package(stations, warsaw_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_stations = list(stations.iterrows())[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_stations)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_stations:
+                station_name = row["name"]
+                station_gdf = gpd.GeoDataFrame([row], crs=stations.crs)
+                image_data = generate_station_image_bytes(station_gdf, warsaw_boundary)
+                safe_name = station_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Stations: {num_stations}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/warsaw_osiedla/__init__.py b/python_pkg/warsaw_osiedla/__init__.py
new file mode 100644
index 0000000..f355d33
--- /dev/null
+++ b/python_pkg/warsaw_osiedla/__init__.py
@@ -0,0 +1 @@
+"""Warsaw osiedla (neighborhoods) Anki flashcard generator."""
diff --git a/python_pkg/warsaw_osiedla/run.sh b/python_pkg/warsaw_osiedla/run.sh
new file mode 100755
index 0000000..17bc8ba
--- /dev/null
+++ b/python_pkg/warsaw_osiedla/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Warsaw Osiedla Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Warsaw Osiedla Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m warsaw_osiedla_anki --output warsaw_osiedla.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_osiedla.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/warsaw_osiedla/warsaw_osiedla_anki.py b/python_pkg/warsaw_osiedla/warsaw_osiedla_anki.py
new file mode 100755
index 0000000..5a3ee77
--- /dev/null
+++ b/python_pkg/warsaw_osiedla/warsaw_osiedla_anki.py
@@ -0,0 +1,327 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Warsaw osiedla (neighborhoods).
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Warsaw neighborhoods highlighted on a city map.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+import genanki
+from geo_data import get_warsaw_osiedla
+import geopandas as gpd
+import matplotlib.pyplot as plt
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# 50 unique colors for neighborhoods
+OSIEDLE_COLORS = [
+    "#E74C3C",
+    "#3498DB",
+    "#2ECC71",
+    "#9B59B6",
+    "#F39C12",
+    "#1ABC9C",
+    "#E91E63",
+    "#00BCD4",
+    "#8BC34A",
+    "#FF5722",
+    "#673AB7",
+    "#FFEB3B",
+    "#795548",
+    "#607D8B",
+    "#CDDC39",
+    "#FF9800",
+    "#4CAF50",
+    "#03A9F4",
+    "#F44336",
+    "#009688",
+    "#3F51B5",
+    "#FFC107",
+    "#9E9E9E",
+    "#00E676",
+    "#FF4081",
+    "#448AFF",
+    "#69F0AE",
+    "#FFD740",
+    "#40C4FF",
+    "#B388FF",
+    "#EA80FC",
+    "#82B1FF",
+    "#A7FFEB",
+    "#FFFF8D",
+    "#FF80AB",
+    "#536DFE",
+    "#64FFDA",
+    "#FFE57F",
+    "#80D8FF",
+    "#B9F6CA",
+    "#CF6679",
+    "#BB86FC",
+    "#03DAC6",
+    "#018786",
+    "#6200EE",
+    "#3700B3",
+    "#B00020",
+    "#FF0266",
+    "#C51162",
+    "#AA00FF",
+]
+
+
+def load_warsaw_boundary() -> gpd.GeoDataFrame:
+    """Load Warsaw boundary from districts GeoJSON."""
+    districts_path = (
+        Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+        return warsaw_boundary
+
+    msg = "Warsaw boundary data not found"
+    raise FileNotFoundError(msg)
+
+
+def create_osiedle_map(
+    osiedle_name: str,
+    osiedle_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    all_osiedla: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Warsaw with one osiedle highlighted."""
+    fig, ax = plt.subplots(figsize=(10, 10))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Warsaw as a plain gray shape
+    warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
+
+    # Assign color based on sorted names
+    sorted_names = sorted(all_osiedla["name"].tolist())
+    color_idx = sorted_names.index(osiedle_name) % len(OSIEDLE_COLORS)
+    fill_color = OSIEDLE_COLORS[color_idx]
+
+    # Plot the highlighted osiedle
+    osiedle_gdf.plot(ax=ax, color=fill_color, alpha=0.9)
+    osiedle_gdf.boundary.plot(ax=ax, color="#1A1A1A", linewidth=4)
+
+    # Set bounds to Warsaw
+    bounds = warsaw_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_osiedle_image_bytes(
+    osiedle_name: str,
+    osiedle_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    all_osiedla: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate an osiedle map image as bytes."""
+    fig = create_osiedle_map(osiedle_name, osiedle_gdf, warsaw_boundary, all_osiedla)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    osiedla: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Warsaw Osiedla",
+) -> genanki.Package:
+    """Generate Anki package for Warsaw osiedla."""
+    model_id_hash = hashlib.md5(f"warsaw_osiedla_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Warsaw Osiedle Model",
+        fields=[
+            {"name": "OsiedleMap"},
+            {"name": "OsiedleName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{OsiedleMap}}</div>',
+                "afmt": '<div class="map-container">{{OsiedleMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{OsiedleName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    for _, row in osiedla.iterrows():
+        osiedle_name = row["name"]
+        osiedle_gdf = gpd.GeoDataFrame([row], crs=osiedla.crs)
+
+        image_data = generate_osiedle_image_bytes(
+            osiedle_name, osiedle_gdf, warsaw_boundary, osiedla
+        )
+        filename = f"osiedle_{osiedle_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', osiedle_name],
+            tags=["geography", "warsaw", "osiedla"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Warsaw osiedla.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: warsaw_osiedla.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Warsaw Osiedla",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("warsaw_osiedla.apkg")
+
+    try:
+        sys.stdout.write("Loading osiedla data...\n")
+        osiedla = get_warsaw_osiedla()
+        warsaw_boundary = load_warsaw_boundary()
+        num_osiedla = len(osiedla)
+
+        sys.stdout.write(f"Generating flashcards for {num_osiedla} osiedla...\n")
+
+        package = generate_anki_package(osiedla, warsaw_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_osiedla = list(osiedla.iterrows())[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_osiedla)} preview images "
+                f"to {preview_dir}...\n"
+            )
+            for _, row in preview_osiedla:
+                osiedle_name = row["name"]
+                osiedle_gdf = gpd.GeoDataFrame([row], crs=osiedla.crs)
+                image_data = generate_osiedle_image_bytes(
+                    osiedle_name, osiedle_gdf, warsaw_boundary, osiedla
+                )
+                safe_name = osiedle_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name}\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Osiedla: {num_osiedla}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/python_pkg/warsaw_streets/README.md b/python_pkg/warsaw_streets/README.md
new file mode 100644
index 0000000..f6ac8ec
--- /dev/null
+++ b/python_pkg/warsaw_streets/README.md
@@ -0,0 +1,37 @@
+# Warsaw Streets Anki Generator
+
+Generate Anki flashcards for learning major Warsaw streets.
+
+## Features
+
+- Generates flashcards for major Warsaw streets (primary, secondary, tertiary roads)
+- Uses real street data from OpenStreetMap
+- Front of card: Map showing Warsaw with the street highlighted
+- Back of card: Street name in Polish
+- Self-contained .apkg file with embedded images
+
+## Data Source
+
+Street data is fetched from OpenStreetMap via the Overpass API.
+
+## Installation
+
+```bash
+pip install matplotlib genanki geopandas requests shapely
+```
+
+## Usage
+
+```bash
+# Generate flashcards (fetches data from OSM)
+./run.sh
+
+# Or run directly
+python -m warsaw_streets_anki
+```
+
+## Notes
+
+- Only includes named streets tagged as primary, secondary, or tertiary highways
+- Streets are filtered to remove duplicates and very short segments
+- The first run will download data from Overpass API (may take a minute)
diff --git a/python_pkg/warsaw_streets/__init__.py b/python_pkg/warsaw_streets/__init__.py
new file mode 100644
index 0000000..d71b26e
--- /dev/null
+++ b/python_pkg/warsaw_streets/__init__.py
@@ -0,0 +1 @@
+"""Warsaw streets Anki flashcard generator."""
diff --git a/python_pkg/warsaw_streets/run.sh b/python_pkg/warsaw_streets/run.sh
new file mode 100755
index 0000000..439958e
--- /dev/null
+++ b/python_pkg/warsaw_streets/run.sh
@@ -0,0 +1,34 @@
+#!/bin/bash
+# Script to generate Warsaw Streets Anki deck
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+PREVIEW_DIR="$SCRIPT_DIR/preview_images"
+
+echo "=== Warsaw Streets Anki Generator ==="
+echo
+
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+echo "Activating virtual environment..."
+source "$VENV_DIR/bin/activate"
+
+echo "Installing dependencies..."
+pip install --quiet --upgrade pip
+pip install --quiet matplotlib genanki geopandas requests shapely
+
+cd "$SCRIPT_DIR"
+
+# Create preview images directory
+mkdir -p "$PREVIEW_DIR"
+
+python -m warsaw_streets_anki --output warsaw_streets.apkg --preview "$PREVIEW_DIR" --preview-count 5
+
+echo
+echo "Done! The Anki deck is at: $SCRIPT_DIR/warsaw_streets.apkg"
+echo "Preview images are in: $PREVIEW_DIR"
diff --git a/python_pkg/warsaw_streets/warsaw_streets_anki.py b/python_pkg/warsaw_streets/warsaw_streets_anki.py
new file mode 100755
index 0000000..1ddd61a
--- /dev/null
+++ b/python_pkg/warsaw_streets/warsaw_streets_anki.py
@@ -0,0 +1,356 @@
+#!/usr/bin/env python3
+"""Anki flashcard generator for Warsaw streets.
+
+Generates Anki-compatible flashcard decks with maps showing individual
+Warsaw streets highlighted on a city map.
+
+Usage:
+    python -m python_pkg.warsaw_streets.warsaw_streets_anki
+
+Output:
+    Creates a self-contained .apkg file that can be directly imported into Anki.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+from io import BytesIO
+from pathlib import Path
+import random
+import sys
+from typing import TYPE_CHECKING, Any
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+import genanki
+from geo_data import get_warsaw_streets
+import geopandas as gpd
+import matplotlib.pyplot as plt
+from shapely.geometry import MultiLineString
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    from matplotlib.figure import Figure
+
+# Minimum street length in meters to include
+MIN_STREET_LENGTH = 500
+
+
+def get_unique_streets(
+    gdf: gpd.GeoDataFrame,
+) -> list[tuple[str, gpd.GeoDataFrame, float]]:
+    """Group street segments by name and merge geometries.
+
+    Args:
+        gdf: GeoDataFrame with street segments.
+
+    Returns:
+        List of (name, GeoDataFrame, length_m) tuples, sorted by length (longest first).
+    """
+    # Group by street name
+    streets: dict[str, list[Any]] = {}
+    for _, row in gdf.iterrows():
+        name = row["name"]
+        if name and name != "Unknown":
+            if name not in streets:
+                streets[name] = []
+            streets[name].append(row.geometry)
+
+    # Merge geometries and calculate length
+    result = []
+    for name, geometries in streets.items():
+        merged = geometries[0] if len(geometries) == 1 else MultiLineString(geometries)
+
+        # Create a GeoDataFrame for this street
+        street_gdf = gpd.GeoDataFrame(
+            [{"name": name, "geometry": merged}], crs="EPSG:4326"
+        )
+
+        # Calculate length in meters (approximate)
+        street_gdf_proj = street_gdf.to_crs("EPSG:2180")  # Polish coordinate system
+        length = street_gdf_proj.geometry.length.iloc[0]
+
+        if length >= MIN_STREET_LENGTH:
+            result.append((name, street_gdf, length))
+
+    # Sort by length (longest first)
+    result.sort(key=lambda x: x[2], reverse=True)
+    return result
+
+
+def load_street_data() -> (
+    tuple[list[tuple[str, gpd.GeoDataFrame, float]], gpd.GeoDataFrame]
+):
+    """Load Warsaw streets and boundary.
+
+    Returns:
+        Tuple of (streets list sorted by length, warsaw boundary GeoDataFrame).
+    """
+    streets_gdf = get_warsaw_streets(min_length=MIN_STREET_LENGTH)
+    streets = get_unique_streets(streets_gdf)
+
+    # Load Warsaw districts for boundary (reuse from warsaw_districts)
+    districts_path = (
+        Path(__file__).parent.parent / "warsaw_districts" / "warszawa-dzielnice.geojson"
+    )
+    if districts_path.exists():
+        warsaw_gdf = gpd.read_file(districts_path)
+        # Get just Warsaw boundary
+        warsaw_boundary = warsaw_gdf[warsaw_gdf["name"] == "Warszawa"]
+        if len(warsaw_boundary) == 0:
+            # Dissolve all districts
+            warsaw_boundary = gpd.GeoDataFrame(
+                geometry=[warsaw_gdf.union_all()], crs=warsaw_gdf.crs
+            )
+    else:
+        msg = "Warsaw boundary data not found"
+        raise FileNotFoundError(msg)
+
+    return streets, warsaw_boundary
+
+
+# Color for highlighted street
+STREET_COLOR = "#E74C3C"  # Red
+
+
+def create_street_map(
+    street_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> Figure:
+    """Create a map showing Warsaw with one street highlighted.
+
+    Args:
+        street_name: Name of the street.
+        street_gdf: GeoDataFrame with the street geometry.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+
+    Returns:
+        A matplotlib Figure object.
+    """
+    fig, ax = plt.subplots(figsize=(10, 10))
+    ax.set_aspect("equal")
+    ax.axis("off")
+    fig.patch.set_alpha(0)
+    ax.patch.set_alpha(0)
+
+    # Plot Warsaw as a plain gray shape
+    warsaw_boundary.plot(ax=ax, color="#D5D8DC", alpha=0.6)
+    warsaw_boundary.boundary.plot(ax=ax, color="#2C3E50", linewidth=2)
+
+    # Plot the highlighted street
+    street_gdf.plot(ax=ax, color=STREET_COLOR, linewidth=4, alpha=0.9)
+
+    # Set bounds to Warsaw
+    bounds = warsaw_boundary.total_bounds
+    ax.set_xlim(bounds[0], bounds[2])
+    ax.set_ylim(bounds[1], bounds[3])
+
+    return fig
+
+
+def generate_street_image_bytes(
+    street_gdf: gpd.GeoDataFrame,
+    warsaw_boundary: gpd.GeoDataFrame,
+) -> bytes:
+    """Generate a street map image as bytes.
+
+    Args:
+        street_gdf: GeoDataFrame with the street geometry.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+
+    Returns:
+        PNG image data as bytes.
+    """
+    fig = create_street_map(street_gdf, warsaw_boundary)
+
+    buf = BytesIO()
+    fig.savefig(buf, format="png", bbox_inches="tight", dpi=150)
+    plt.close(fig)
+    buf.seek(0)
+
+    return buf.read()
+
+
+def generate_anki_package(
+    streets: list[tuple[str, gpd.GeoDataFrame, float]],
+    warsaw_boundary: gpd.GeoDataFrame,
+    deck_name: str = "Warsaw Streets",
+) -> genanki.Package:
+    """Generate Anki package for Warsaw streets.
+
+    Args:
+        streets: List of (name, GeoDataFrame, length) tuples, sorted by length.
+        warsaw_boundary: GeoDataFrame with Warsaw boundary.
+        deck_name: Name for the Anki deck.
+
+    Returns:
+        genanki.Package object.
+    """
+    model_id_hash = hashlib.md5(f"warsaw_streets_{deck_name}".encode())  # noqa: S324
+    model_id = int(model_id_hash.hexdigest()[:8], 16)
+
+    card_css = """
+.card {
+    font-family: Arial, sans-serif;
+    font-size: 24px;
+    text-align: center;
+    color: #333;
+    background-color: #fff;
+}
+.card.night_mode {
+    color: #eee;
+    background-color: #2f2f2f;
+}
+.map-container {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 80vh;
+}
+.map-container img {
+    max-width: 100%;
+    max-height: 80vh;
+    object-fit: contain;
+}
+.answer-text {
+    font-size: 32px;
+    font-weight: bold;
+    margin-top: 20px;
+    color: #2C3E50;
+}
+.card.night_mode .answer-text {
+    color: #ECF0F1;
+}
+"""
+
+    my_model = genanki.Model(
+        model_id,
+        "Warsaw Street Model",
+        fields=[
+            {"name": "StreetMap"},
+            {"name": "StreetName"},
+        ],
+        templates=[
+            {
+                "name": "Card 1",
+                "qfmt": '<div class="map-container">{{StreetMap}}</div>',
+                "afmt": '<div class="map-container">{{StreetMap}}</div>'
+                '<hr id="answer">'
+                '<div class="answer-text">{{StreetName}}</div>',
+            },
+        ],
+        css=card_css,
+    )
+
+    deck_id = random.randrange(1 << 30, 1 << 31)  # noqa: S311
+    my_deck = genanki.Deck(deck_id, deck_name)
+    media_files = []
+
+    # Streets are already sorted by length (longest first)
+    for street_name, street_gdf, _length in streets:
+        image_data = generate_street_image_bytes(street_gdf, warsaw_boundary)
+        filename = f"street_{street_name.replace(' ', '_').replace('/', '_')}.png"
+
+        note = genanki.Note(
+            model=my_model,
+            fields=[f'<img src="{filename}">', street_name],
+            tags=["geography", "warsaw", "streets"],
+        )
+        my_deck.add_note(note)
+
+        temp_path = Path(f"/tmp/{filename}")  # noqa: S108
+        temp_path.write_bytes(image_data)
+        media_files.append(str(temp_path))
+
+    package = genanki.Package(my_deck)
+    package.media_files = media_files
+    return package
+
+
+def main(argv: Sequence[str] | None = None) -> int:
+    """Main entry point."""
+    parser = argparse.ArgumentParser(
+        description="Generate Anki flashcards for Warsaw streets.",
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        type=str,
+        default=None,
+        help="Output file path (default: warsaw_streets.apkg)",
+    )
+    parser.add_argument(
+        "--deck-name",
+        "-d",
+        type=str,
+        default="Warsaw Streets",
+        help="Name for the Anki deck",
+    )
+    parser.add_argument(
+        "--min-length",
+        "-m",
+        type=int,
+        default=MIN_STREET_LENGTH,
+        help=f"Minimum street length in meters (default: {MIN_STREET_LENGTH})",
+    )
+    parser.add_argument(
+        "--preview",
+        "-p",
+        type=str,
+        default=None,
+        help="Export preview images to specified directory",
+    )
+    parser.add_argument(
+        "--preview-count",
+        type=int,
+        default=5,
+        help="Number of preview images to export (default: 5)",
+    )
+
+    args = parser.parse_args(argv)
+    output_path = Path(args.output) if args.output else Path("warsaw_streets.apkg")
+
+    try:
+        sys.stdout.write("Loading street data...\n")
+        streets, warsaw_boundary = load_street_data()
+        num_streets = len(streets)
+
+        sys.stdout.write(f"Generating flashcards for {num_streets} Warsaw streets...\n")
+
+        package = generate_anki_package(streets, warsaw_boundary, args.deck_name)
+        package.write_to_file(str(output_path))
+
+        # Export preview images if requested (top N longest streets)
+        if args.preview:
+            preview_dir = Path(args.preview)
+            preview_dir.mkdir(parents=True, exist_ok=True)
+            preview_streets = streets[: args.preview_count]
+            sys.stdout.write(
+                f"Exporting {len(preview_streets)} preview images "
+                f"(longest streets) to {preview_dir}...\n"
+            )
+            for street_name, street_gdf, length_m in preview_streets:
+                image_data = generate_street_image_bytes(street_gdf, warsaw_boundary)
+                safe_name = street_name.replace(" ", "_").replace("/", "_")
+                preview_path = preview_dir / f"{safe_name}.png"
+                preview_path.write_bytes(image_data)
+                sys.stdout.write(f"  Saved: {preview_path.name} ({length_m:.0f}m)\n")
+
+        sys.stdout.write("\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write("FLASHCARD GENERATION COMPLETE\n")
+        sys.stdout.write("=" * 60 + "\n")
+        sys.stdout.write(f"Streets: {num_streets}\n")
+        sys.stdout.write(f"Output file: {output_path.absolute()}\n")
+        if args.preview:
+            sys.stdout.write(f"Preview images: {args.preview}\n")
+    except (OSError, ValueError, RuntimeError) as e:
+        sys.stderr.write(f"Error: {e}\n")
+        return 1
+    else:
+        return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())