Movie Recommender

A machine learning-based movie recommendation system with a modern web interface.

Project Structure

• backend/: Flask API server with recommendation models
• frontend/: React + Vite web interface
• data/: Dataset files
• model/: Pre-trained machine learning models

Features

• Semantic and TF-IDF based movie recommendations
• Neural network models for improved accuracy
• REST API backend
• Interactive web UI

Setup Instructions

Backend Setup

cd backend
pip install -r requirements.txt
python app.py

Frontend Setup

cd frontend
npm install
npm run dev

Models

The system uses two recommendation approaches:

• TF-IDF Model: tfidf_vectorizer.joblib with nearest neighbors
• Semantic Model: semantic_nn_model.joblib with embeddings

Dependencies

• Python 3.x
• Flask
• Scikit-learn
• Node.js
• React
• Vite