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-# ARAI
+# ARAI — Legal Mediation Assistant
+
+A web application built in **48 hours** at a legal-tech hackathon that helps users resolve disputes through mediation instead of court.
+
+Describe your case in plain language, and the app will:
+
+1. **Categorise** the dispute (civil, labour, commercial, etc.)
+2. **Estimate** the likely court cost and duration based on real court statistics
+3. **Score and recommend** mediators suited to the case
+
+## Tech Stack
+
+| Layer | Technology |
+|---|---|
+| Frontend | Angular 17, Angular Material, SCSS |
+| Backend | Python, Flask, pandas |
+| AI | OpenAI API (case categorisation & mediator scoring) |
+| Real-time | WebSocket relay (Node.js) |
+
+## Project Structure
+
+```
+arai-frontend/    Angular SPA — form wizard, results display, Material UI
+Backend_correct/  Flask API  — categorisation, cost estimation, mediator scoring
+simple-ws/        Lightweight WebSocket relay server (Node.js)
+statystyki/       Court statistics data pipeline (pandas + Excel)
+franek/           ML experiments — case scoring prototypes
+```
+
+## Quick Start
+
+### Backend
+
+```bash
+cd Backend_correct
+pip install flask flask-cors pandas openpyxl openai
+python app.py
+```
+
+### Frontend
+
+```bash
+cd arai-frontend
+pnpm install
+pnpm start          # serves on http://localhost:4200
+```
+
+The frontend proxies API requests to the Flask backend via `proxy.conf.json`.
+
+## Team
+
+Built by 5 contributors during the hackathon:
+
+- Krzysztof Rudnicki — frontend & integration
+- Franciszek Michalowski — ML & scoring
+- Jakub Jarzembowski — backend
+- Mateusz Szpyruk — data & statistics
+- + 1 contributor