🎬 Movie Recommendation System

A content-based Movie Recommendation System built using Machine Learning, FastAPI, and React (Vite).
The system suggests similar movies based on user selection and displays posters using TMDB API.

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🚀 Features

• Search movies with autocomplete
• Get top 5 similar movie recommendations
• Fetch movie posters using TMDB API
• FastAPI backend
• React frontend
• Pickle-based ML model

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🧠 Tech Stack

Backend

• Python
• FastAPI
• Pandas
• Scikit-learn
• Pickle
• Requests

Frontend

• React (Vite)
• JavaScript
• HTML
• CSS

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📁 Project Structure

movie-recommender-system
├── app.py
├── movie.pkl
├── recommendation.pkl
├── movie-frontend
│ ├── src
│ └── ...
├── myenv
└── README.md

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⚙️ Backend Setup

Create virtual environment:

python -m venv myenv

Activate:

myenv\Scripts\activate

Install dependencies:

pip install fastapi uvicorn pandas scikit-learn requests

Run server:

uvicorn app:app --reload

Server runs at:

http://127.0.0.1:8000

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💻 Frontend Setup

cd movie-frontend
npm install
npm run dev

Open browser:

http://localhost:5173

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🔗 API Endpoints

Get movie list:

GET /movie_list

Get recommendations:

GET /movies_recommended/{movie_name}

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📌 Future Improvements

• Deploy on cloud
• Better UI
• User authentication
• Collaborative filtering
• Genre-based filtering

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👨‍💻 Author

Harshit

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