This Movie Recommendation System is designed to provide users with recommendations for similar movies based on the input movie name. It utilizes cosine similarity from the scikit-learn library to compute the similarity between movies and Flask as the backend framework to handle requests and serve recommendations.

Features Input Movie Name: Users can enter a movie name into the search bar. Recommendations: After submitting the movie name, the system provides a list of recommended movies that are similar to the input movie.

Install Dependencies:
pip install -r requirements.txt

Run the Application:

python app.py The application will be accessible at http://localhost:5000 by default.

Usage
Open your web browser and navigate to http://localhost:5000.
Enter the name of a movie into the search bar and press Enter or click the "Recommend" button. The system will display a list of recommended movies based on the input movie.

Technologies Used

1. Python
2. Flask
3. scikit-learn
4. pandas
5. HTML/CSS

Picture of the webpage

This project was created by Dipayan Majumder as part of Personal Project. It utilizes datasets and techniques from various sources .