Full-stack movie recommendation system using Flask and React, implementing user-based collaborative filtering with cosine similarity on the MovieLens 100k dataset.
-
Updated
Jan 14, 2026 - Python
Full-stack movie recommendation system using Flask and React, implementing user-based collaborative filtering with cosine similarity on the MovieLens 100k dataset.
This is a single page application (built using Angular) which aims to automate the general flow of valet parking systems by handling the ticket generation, payment, and verification of payment digitally.
Android media-browsing client built with Java and The Movie Database API. Implements a multi-view intent architecture utilizing explicit layout orientation adapters for landscape/portrait responsiveness, full-screen hardware video orchestration via YouTubePlayerView, and RatingBar UI bindings.
To associate your repository with the rest-api-consumption topic, visit your repo's landing page and select "manage topics."