LexAI — AI-Powered Legal Assistant & Lawyer Connect Platform

Project Structure

lexai/
├── backend/     ← Spring Boot REST API (Java 21)
└── frontend/    ← React + Vite frontend

Quick Start

Backend

cd backend
# Set your Gemini API key in src/main/resources/application.properties
mvn spring-boot:run
# API runs on http://localhost:8080
# Swagger UI: http://localhost:8080/swagger-ui/index.html

Frontend

cd frontend
npm install
npm run dev
# Runs on http://localhost:3000

Environment Variables (for Railway deployment)

Variable	Description
DB_URL	PostgreSQL JDBC URL
DB_USERNAME	Database username
DB_PASSWORD	Database password
JWT_SECRET	256-bit hex JWT secret
JWT_EXPIRATION	Token expiry in ms (3600000 = 1hr)
GEMINI_API_KEY	Google Gemini API key (free at aistudio.google.com)
PORT	Server port (Railway sets this automatically)

Deploying Backend to Railway

1. Push to GitHub
2. Connect repo to Railway
3. Set environment variables in Railway dashboard
4. Railway auto-deploys on every push

Tech Stack

Backend: Java 21, Spring Boot 3.5, Spring Security, JWT, BCrypt, PostgreSQL, Gemini AI, Swagger
Frontend: React 18, Vite, React Router, Axios
Database: PostgreSQL on Neon.tech
Deployment: Railway (backend), Vercel/Netlify (frontend)

Author

Kavya Agarwal — B.Tech CSE, GLA University (2024-2028)