Project Overview
This Movie Recommendation System uses artificial intelligence and collaborative filtering techniques to suggest films based on user ratings, viewing history, and preferences. It provides users with personalized suggestions, helping them discover movies they’ll likely enjoy.
Main Feature – Smart Movie Suggestions
- Real-time user interaction and updates
- Built with Python, Pandas, and Scikit-learn
- Web interface with html/css/js
Key Features
Personalized Recommendations
Delivers movie suggestions tailored to each user’s taste and past behavior.
Data-Driven Engine
Analyzes user ratings, genres, and popularity to refine suggestions continuously.
Live Preview
Users can preview movies and descriptions directly on the platform.
Tech Stack
Python
Scikit-learn
Pandas
Flask
Machine Learning
TMDb API