MovieRecommendationSystem

Movie Recommendation System

A personalized movie recommendation system built using the MovieLens dataset and implemented with Collaborative Filtering and Content-Based Filtering techniques.

Dataset

• Source: MovieLens 100k Dataset
• Files:
  • movies.dat: Movie IDs and titles
  • ratings.dat: User IDs, movie IDs, ratings, timestamps

Features

• Collaborative Filtering using SVD
• Movie-based Recommendations (Content Similarity)
• Web Interface built with Flask
• Model Serialization with Pickle (model.pkl)
• CLI Support for offline testing

Getting Started

1. Clone the Repository

git clone https://github.com/Adannee/PythonProject.git
cd PythonProject/MovieRecommendationSystem

2. Create a Virtual Environment (Optional)

python -m venv venv
source venv/bin/activate 

3. Install Requirements

pip install -r requirements.txt

4. Train the Model

python model/train_model.py

###5. Run the Web App

cd app
python app.py

Then open http://127.0.0.1:5000 in your browser.

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