movie-recommendation-app
There are 73 repositories under movie-recommendation-app topic.
abidakram01/angular-movie-app
Discover Movie & TV Show Trailers web app built with Angular 18 with TMDB API
dev1abhi/Bingflix-Website
Movie watching website with multiple servers . Integrates TMDB API . Streaming options available. For JIO users : bingflix2.vercel.app
RoelVillaluz/Movie-Website
Movie website with TMDB API
paulthadev/usepopcorn
Explore new movies , Rate them & add it to your List. You can also rate your favorite movie and add the movie to your own personalised list. The data of the list will also be stored in your browser so it is a complete app.
Nnamodi/Flick
Movie trailer streaming app.
RanjanWorks/reactflix
Ranjan'sFlix is a cutting-edge movie streaming platform designed to revolutionize the way you enjoy your favorite films. With a vast library of diverse genres, from classic cinema to the latest blockbusters, we offer a seamless and immersive viewing experience.
wazeerc/movie-recs
Pick 3 Movies, and Let Us Find Your Next Must-Watch!
Shivam171/tvflix
Tvflix is a simple and responsive web app built using Vanilla JS, leveraging the power of Postman and the TMDB API to seamlessly fetch and display comprehensive movie details. This project serves as a template for larger applications.
zerone0x/Movie4fun
Frontend Website like IMDB using React.JS and Redux, TMDB
adhikareeprayush/Stream-Suggester-Telegram-Bot
Welcome to Stream Suggester Bot, a Telegram bot that provides personalized movie recommendations based on your preferred genre and language. Powered by The Movie Database (TMDb) API, this bot fetches the most popular movies tailored to your choices.
gajendrasharma-github/Intelligent-Movie-Recommendation-App-utilising-TMDB-Api
End to End Machine Learning Project using Content Based Filtering
gbowne1/flickpicker
This is a movie night tracking and voting app
hexatv/Hexa.Watch
hexa watch is a sleek and modern looking streaming platform that is free to use. Features a premium design with all the latest movies and series, over 100K+ movies and 70K+ series to watch. Based on tmdb api and https://api.hexa.watch/
madhavxchaturvedi/netflix-gpt
Netflix GPT is a conversational web app that lets users explore and discover movies and TV shows on Netflix through a chatbot interface. Powered by GPT, the bot provides personalized recommendations, details about titles, and even helps users find hidden gems based on their preferences.🚀
parth-jatav/Movie-Recommendation-Project
An ML-based movie recommendation system built using a dataset from Kaggle. This project preprocesses movie data to generate recommendations based on cosine similarity. The system uses Python libraries such as Pandas, NumPy, NLTK, and sklearn for data processing and machine learning. The user interface is developed with Streamlit.
princebabou/Nutflix
A web app that allows you to keep track of trending movies and watch their trailers. "Netflix", That's old news😁
Talnz007/Movie_Recomendation_System
Movie Recommendation System A TF-IDF based movie recommendation system that suggests movies based on your preferences. With a database of 10,000 movies, this system is designed to enhance your movie-watching experience by recommending films similar to the ones you've enjoyed.
vasudevsoni/use-popcorn
Use-Popcorn is a React.js web application that allows users to search for movies and view detailed information about each movie using the OMDb API. Users can also add movies to a personalized watchlist, making it easy to keep track of films they want to watch.
Blesson-Tomy/MovieMatch
A movie recommendation app that is used together with Gemini and pathway.
Carlos-Bolano/moodflix
An AI-powered app that recommends movies based on the user's emotional state.
francisdiasbr/movie-search-app
🎬 Movie Search is a movie-recommendation app. You can receive a personalized suggestion based on what you want to watch or assign to a unique roadmap.
githubstevemas/JustStreamIT
A dynamic website that provides real-time rankings of the best movies, allowing users to see up-to-date information on top-rated films. The site integrates with a public API to fetch movie data and updates the rankings continuously based on user ratings and reviews.
iamdebasishdas123/Movie_Recommended_System_With_Sentiment_Analysis
This project features a Movie Recommendation System that combines cosine similarity for personalized movie suggestions with sentiment analysis of real-time reviews from IMDb. By analyzing user sentiments, the system provides insights into how well-received a movie is by audiences, enhancing the recommendation experience.
Luelmo14/cornflix
Flutter mobile application for movie fans!
Medkallel/Movie-Recommendation-System
This project is focused on building a movie recommendation system using the MovieLens dataset. The system leverages several machine learning techniques to provide personalized movie recommendations based on user preferences and past behaviors.
MementoMori11723/flixer
It is a movie recomendation app. (need to attach a backend)
muhammadrama19/webdev2024
Repository for Web Development course in JTK Polban. Tasked to create IMDB like website.
RajatJ00/MyShow
Built a project to search for Movies details and TV details by using Reactjs, Tailwind CSS, TMDB API, NPM Packages, and Razorpay. and project interface even better than any other website! Integrate with a movie database API, display data based on user queries, and provide movie details.
SartHak-0-Sach/Movie-Recommender-System
A Python-based web application that leverages Natural Language Processing (NLP) to recommend movies based on user preferences, including cast, genres, and production companies. Using the bag-of-words approach, the app compares movie attributes to suggest the best match.
sommye-ctr/cinenexa
A Movie/TV Show discovery app with support for external extensions
TiagoAdriaNunes/imdb_top_5000
IMDb Data Dashboard
Arjun115-star/github-pages
Create a site or blog from your GitHub repositories with GitHub Pages.
arunabhaya00/Movie-recommendation-system
A movie recommendation system suggests films based on user preferences and viewing history, enhancing the user experience with personalized recommendations.