A personalized movie recommender web app built using Flask. It uses content-based filtering techniques to suggest movies based on user input and similarity of plot descriptions.
- π Recommend similar movies based on content
 - π Data visualizations using Seaborn and Matplotlib
 - π Interactive web interface built with Flask
 - π Uses TF-IDF for feature extraction from movie descriptions
 
- Backend: Flask
 - Data Analysis: Pandas, Numpy
 - Visualization: Matplotlib, Seaborn
 - Machine Learning: Scikit-learn (TfidfVectorizer)
 
git clone https://github.com/TanviKamath/movie_recommendation.git
cd movie_recommendation