🎬🍿 What to watch? 🍿🎬

A delightful web app that provides personalized movie recommendations based on your preferences. Powered by OpenAI's GPT-3.5 Turbo, this app understands your movie tastes and suggests a curated list of must-watch films. Explore new releases, find hidden gems, and make your movie nights unforgettable!

🚀 Features:

• 🧠 Smart movie recommendations using OpenAI GPT-3.5 Turbo
• 🎨 Beautifully designed interface for an immersive experience
• 🎥 Dynamic movie details with posters, overviews, release dates, and IMDB ratings
• 📱 Responsive and user-friendly design

🛠️ Tech Stack:

• Streamlit - Frontend development
• OpenAI GPT-3.5 Turbo - AI-powered movie recommendations
• TMDB API - Movie database for posters and details
• Streamlit Ant Design Components - UI components

👩‍💻 Usage:

1. Clone the repository: git clone https://github.com/TheShahnawaaz/MovieRecommendationAI.git
2. Install dependencies: pip install -r requirements.txt
3. Set up your API keys in a .env file
4. Run the app: streamlit run main.py

🌐 Live Demo: What to watch? Demo

📝 Contributing: Contributions are welcome! Feel free to open issues or pull requests.

📄 License: This project is licensed under the MIT License.