jpaic/CineMind
CineMind is a full-stack web application that combines user-rated movie data with machine learning algorithms to deliver personalized movie recommendations. Users can rate movies, track their watched films, explore curated suggestions, and monitor their activity through a responsive dashboard.
Stars
—
Forks
—
Language
JavaScript
License
MIT
Category
Last pushed
Mar 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jpaic/CineMind"
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...
kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes...
kaushikjadhav01/Movie-Recommendation-Chatbot
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue,...
skotz/cp-user-behavior
Recommendation engine using collaborative filtering and matrix factorization