screenmate
Movie recommendation system

Screen mate is movie recommendation system based on 100000+ movie dataset from kaggle tmdb and user can search for movie and get recommendation based on the movie using cosine similarity
Features
What this project offers
Screen mate is a movie π¬ recommendation system based on a 100,000+ movie dataset
Users can search for movies and get recommendations based on their favorite titles πΏ
Based on the Kaggle TMDB π dataset for comprehensive movie data
Processed raw data and extracted important features like title, genres, keywords, actors π, release date using numpy and pandas
Transformed the dataset into a suitable format for the machine learning π€ model using sklearn
Prepared vector-related matrices and trained the model using cosine similarity βΎοΈ
Users can search π for movies and get recommendations tailored to their interests
Designed a beautiful UI β¨ and integrated TMDB API to display recommended movies with genre, rating β, release date info
Key Learnings
Skills and knowledge gained
Sklearn
Vectorization
Machine learning
Cosine similarity
Numpy and pandas
Nextjs
Nodejs
Screenshots
Visual walkthrough of the project

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