🎥 StreamFlix 🍿 Your go-to repository for a Netflix-inspired streaming platform. Enjoy top-notch movies and TV shows with sleek design and seamless navigation. Happy streaming! 🚀💻
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Updated
Dec 14, 2025 - HTML
🎥 StreamFlix 🍿 Your go-to repository for a Netflix-inspired streaming platform. Enjoy top-notch movies and TV shows with sleek design and seamless navigation. Happy streaming! 🚀💻
Movie watching website with multiple servers . Integrates TMDB API . Streaming options available. React Version : bingflix.vercel.app
This is a clone of the popular video streaming site Netflix. Built using Django and uses the requests library to handle data from TMDB API.
Get movie & Tv Shows stream by IMDB, TMDB.
📺🎥 Welcome to infinitedownload.store! Your ultimate destination to watch your favorite shows and movies from top OTT platforms like Netflix, Hotstar, and Disney+. Dive into endless entertainment! 🚀✨
A movie-search engine based on Django, powered by TMDb
Sontac Movies Website (Angular and TailwindCSS with Flowbite components)
A free, open-source, and minimalist web app for discovering movies and TV shows
Fetch TMDB movie data and export to CSV for NLP and Data Engineering
Web application clone of netflix 🚀
🎬 Netflix Clone - Production-grade streaming UI built with Vanilla JavaScript, HTML5, CSS3 & TMDB API. Features responsive design, lazy loading, infinite scroll, search functionality. No frameworks - pure JavaScript. Perfect for learning modern web development. ⭐ Star if helpful!
Cineverse is a modern, responsive web application designed for comprehensive movie and TV show discovery. It is built as a full-stack secure service, demonstrating best practices for protecting sensitive data while delivering a smooth client-side experience.
Academic project for CSE3002 - Internet and Web Programming
🧃El proyecto "CITYNEMA" es una aplicación web desarrollada para proporcionar a los usuarios información actualizada sobre películas, como detalles de la trama, reparto, calificaciones y tráilers. Teniendo un pequeño resumen para la compra del ticket de la pelicula.
This project is a recommendation system built with implicit ALS algorithm using Netflix UK's watch history data. It provides personalized movie recommendations and exposes a FastAPI API route for easy integration.
Final Year Research project to recommend movies based on user behavioral data using the Big 5 personality model and user rating data. The model uses K-Means Clustering for Big 5 scores and 3 ALS models to recommend movies
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