video-recommendation

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

Recommender system finds its application in many aspects of the online ecosystem including product recommendation, movie recommendation, books, news, video recommendation to name a few.

A YouTube browser extension for navigation and analysis of video content & comments using Python, Node.js, HTML5 & CSS.

A FastAPI-based video recommendation system that connects to the EmpowerVerse API to provide personalized video recommendations.

A web-based platform that helps users reduce food waste by managing pantry inventory, tracking ingredient shelf life, and suggesting recipes based on available ingredients, complete with YouTube video links, ingredient substitutes, and food preservation tips, plus a personalized skincare recommendation feature for smarter, more sustainable living.

Video Recommendation Engine is an advanced AI-powered system designed to deliver highly personalized video content based on user preferences, engagement history, and emotional state. Inspired by the Empowerverse App, this engine leverages Graph Neural Networks (GNNs), deep learning, and content-aware filtering to serve motivating and mood-aligned.