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Netflix Clone with AI Recommendation System

I developed a full-stack Netflix Clone using Python (Django) for the backend and HTML, CSS, and JavaScript for the frontend. This project replicates the core functionality of Netflix while integrating advanced features such as a personalized recommendation system.

Key Features

• User Authentication: Secure login and signup system for managing user profiles.

• Movie Management Dashboard: Admin panel where movies can be uploaded, deleted, and updated with ease.

• Personalized Recommendation System:

  • Built using Machine Learning techniques.

  • Recommends movies based on users’ search history, clicks, and interactions.

• Dynamic Movie Streaming Interface: Netflix-style design with responsive layouts for desktop and mobile.

• Search & Filtering: Users can search for movies by title, genre, or keyword.

• Watchlist Functionality: Add/remove movies to a personal watchlist.

Technology Stack

• Backend: Django (Python)

• Frontend: HTML, CSS, JavaScript

• Database: SQLite (can be upgraded to PostgreSQL/MySQL)

• Machine Learning: Recommendation algorithm using user behavior (clicks, searches, and watch history)

Learning Outcomes

• Strengthened expertise in full-stack development with Django.

• Hands-on experience in building and deploying a recommendation system.

• Improved skills in frontend design and creating scalable web applications.

Future Enhancements

• Integration of real-time video streaming.

• Expanding ML model to include collaborative filtering.

• User rating system to improve recommendations.