a recommender engine node-js package for general use and easy to integrate.
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Updated
Jan 5, 2022 - TypeScript
a recommender engine node-js package for general use and easy to integrate.
Recommender for suggesting letter writers 👍
🚀 End to End Movie Recommendation system built with NextJS, Flask, MySQL, TailwindCSS and AWS 🛸. Performs 📝 Content based, Collaborative and Neural Collaborative recommendations. --> Ongoing project
An Elective Courses Recommender System
Recomm.js is a javascript library used to build recommendation systems, using Content-Based Filtering System.
Web-based Movie Recommendation Engine based on Deep Learning.
Scientific Paper Recommendations And Search, Powered by Recombee
Facial Recognition and Recommendation System based Web application
Explore a smarter way to shop online with this full-stack project built on the infrastructure of Google Cloud Platform (GCP) for RAG based e-commerce with LLM.
Web front-end of the advisor.ai project, an article search and recommendation platform focused on promoting collaboration between researchers using AI.
Fullstack movie data application where users can find information about different movies with reviews and ratings and get recommendations. Movie data is fetched from TMDB API
Implementation of Microsoft's Matchbox Recommender trained on MovieLens dataset used in simple React web application to provide movie recommendations.
A movie recommendation platform powered by the Gorse recommender system service and integrated with the Typesense search engine. This dynamic system continually updates its database with the latest movies from TMDB API, ensuring users receive tailored suggestions based on their preferences.
AI-powered game recommendation system using KNN and collaborative filtering, with Flask and C# APIs and an Angular frontend
TripBuddy is a travel recommendation system that helps users find places based on real-time data from Google Maps API. The application uses Firebase for authentication and integrates with a backend API deployed on Render to fetch and display place recommendations.
TeamBanalo is a comprehensive platform designed to supercharge team formation in hackathons through AI-driven teammate recommendations, intelligent resume parsing, and seamless project management.
A social book review and discovery platform with real-time, personalized recommendations using FAISS and LDA. Built with Next.js, Tailwind CSS, and TypeScript.
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