Tourism-IA-Planner/Tourism-IA-Planner

An AI-powered web application for personalized tourist itineraries in Morocco. Features include route optimization, cost prediction, interactive maps, and user-friendly recommendations, developed with React.js, FastAPI, and PostgreSQL # Tourism-IA-Planner 🌍 Live Demo An AI-powered web application for generating personalized tourist itineraries in Morocco. This platform leverages artificial intelligence to create optimized travel plans based on user preferences, budget constraints, and interests. ## 🌟 Features - **AI-Powered Itinerary Generation** - Personalized travel plans based on user preferences - Smart budget optimization - Automatic route planning and scheduling - Real-time cost predictions - **Interactive User Interface** - Intuitive travel planning dashboard - Real-time chat assistance - Interactive maps of destinations - Visual itinerary representation - **Smart Recommendations** - Personalized activity suggestions - Accommodation recommendations - Transportation options - Local attractions and experiences - **User Management** - Secure authentication (Email & Google OAuth) - Profile customization - Favorite itineraries saving - Travel history tracking ## 🛠️ Technology Stack ### Frontend - React.js - Tailwind CSS - Framer Motion (animations) - React Router (navigation) - Recharts (data visualization) - Axios (API requests) ### Backend - FastAPI (Python) - PostgreSQL (database) - SQLAlchemy (ORM) - OpenAI API (AI integration) - JWT Authentication - Alembic (database migrations) ### DevOps & Deployment - Docker - Vercel (Frontend hosting) - Render (Backend hosting) - GitHub Actions (CI/CD) - PostgreSQL (Production database) ## 🚀 Getting Started ### Prerequisites - Python 3.8+ - Node.js 16+ - PostgreSQL - OpenAI API key ### Local Development Setup 1. **Clone the repository** ```bash git clone github.com cd Tourism-IA-Planner ``` 2. **Backend Setup** ```bash # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt # Set up environment variables cp .env.example .env # Edit .env with your configurations # Run d …