Faisal-khann/Recommendation_Engine
The Movie Recommender System is a Streamlit-based application designed to help users discover movies they might enjoy. By selecting a movie, the system provides personalized recommendations based on similarity, along with the features of recommendation (Displays a list of suggested movies), movie posters, ratings, trailers and user interface.
Stars
5
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Faisal-khann/Recommendation_Engine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
asif536/Movie-Recommender-System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
snowch/movie-recommender-demo
This project walks through how you can create recommendations using Apache Spark machine...
victorverma3/Letterboxd-Movie-Recommendations
Generate AI-powered movie recommendations, discover insightful profile statistics, pick movies...
ADET-AI-Assistant/Vibeo
AI Powered Movie Streaming App
kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes...