https://github.com/somenath203/movie-recommender-system

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https://github.com/somenath203/movie-recommender-system

content-based-recommendation cosine-similarity huggingface-spaces movie-recommender-system python recommender-system scikit-learn streamlit streamlit-webapp

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• Host: GitHub
• URL: https://github.com/somenath203/movie-recommender-system
• Owner: somenath203
• Created: 2024-07-17T17:52:12.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-17T18:34:44.000Z (6 months ago)
• Last Synced: 2024-11-19T17:58:43.604Z (2 months ago)
• Topics: content-based-recommendation, cosine-similarity, huggingface-spaces, movie-recommender-system, python, recommender-system, scikit-learn, streamlit, streamlit-webapp
• Language: Jupyter Notebook
• Homepage: https://som11-movie-recommendation-system.hf.space
• Size: 58.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Movie Recommender System

## Introduction

The Movie Recommender System is a machine learning project designed to recommend movies to users based on various criteria. This project uses Content based Filtering technique to 

provide personalized movie recommendations. The system is built using Python and uses libraries such as pandas and scikit-learn for data manipulation and machine learning. Additionally, a 

Streamlit app is developed for a user-friendly interface to interact with the recommendation system.

## Dataset Used in this Project

The dataset used in this project is taken from here: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata

## Live Preview of the application

https://som11-movie-recommendation-system.hf.space/

## Demo Video of the Project

https://github.com/user-attachments/assets/757794cd-e554-4153-ba26-68f695e4875e