GitHub - Software-Engineering-Uni-Projects/Movie-Recommendation-System: This is a Movie Recommendation System built using the Streamlit by using Python. This project uses Hybrid CBF Weighted Sum Approach for movie keywords and Genres to make personalized movie recommendations to the end user.

ML_Model.ipynb - This file is the main file where the model is trained with TMDB 5000 Movie dataset.

app.py - This is the main backend python file used to integrate the front end with the help of Streamlit framework.

appmainlogo and appsidelogo are the images used in the web application

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
ML_Model.ipynb		ML_Model.ipynb
README.md		README.md
app.py		app.py
appmainlogo.png		appmainlogo.png
appsidelogo.png		appsidelogo.png

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