Scenic is a free streaming platform to watch movies, TV series, and anime from various publicly available servers, no subscription needed. Discover blockbusters or hidden gems with instant trailer previews and smart, natural-language search and filters with Scenic!

通过网页自动化自动向 TMDB 添加剧集信息和图片 - Automatically Add Episode Information and Images to TMDB via Web Automation

A powerful, flexible and User friendly Movie and TV Show Steaming CMS Pro with advance video contents management system

MovieDB is an Android application developed using TMDB API. 🎞 🍿 📺

Python script to search multiple PTs and return content available

Netflix clone using HTML, CSS, JavaScript.

Movies browser! To get updated on recent unexplored movies and much more!

Netflix Clone - a movie streaming app with user registration and payment subscription

[TEAMWORK] MoviesBrowser is a huge collection of the most interesting movies and most popular actors. It is an intuitive browser that uses the TMDB database.

Transforming the way audiences discover and watch movies by integrating diverse markets and cutting-edge features into one powerful entertainment hub.

Requestarr-style Django Project to manage requests on a custom movies database (scraped from TMDB)

A website which uses an API key to search the TMDb database for movies and add them to corresponding lists. There is an option to share the lists through various media like mail, tweets, whatsapp, sms. Made using HTML, CSS, Bootstrap, JavaScript(jQuery), Ajax, PHP, MySQL. Hosted by a free hosting service.

.NET 5 The Movie Database (TMDb) API Client

An implementation of an advanced movie search engine, using TMDB's data & Lucene's indexing. It is a desktop application, developed in Java

Movie Recommondation Engine using Cosine Similarity Vectorisation for Content Based Recommmondation on TMDB 5000 dataset.

Site is live at:

This project is a robust data scrapper that collects comprehensive information about movies from The Movie Database (TMDB) API. The dataset spans from the earliest recorded films (1874) up to recent releases (2024), providing a rich historical record of cinema evolution, production details, popularity metrics, and financial data.

🎬 TypeScript, Effect-based SDKs for movie/TV APIs (e.g., TMDB, OMDb, etc)

Projeto realizado para a disciplina de ciências de dados. O dataset escolhido pelo grupo foi o imdb-and-tmdb-movie-metadata-big-dataset-1m disponível no kaggle.

🎥 The project was developed within the scope of the Machine Learning course, with the aim of predicting revenue at the box office by implementing several machine learning models, including linear regression, Random Forest regression, XGBoost and SVM Support Vector Machine.