This Movie Recommendation App is a web application that utilizes the Sentence Transformers library to generate embeddings and recommend movies based on their similarity.
Frontend is built with React
and for backend with FastAPI
and uses Sentence Transformers for text embedding and a recommendation model to suggest relevant movies from the TMDB dataset.
Use the README.md
to get started.
The Tech Stacks used are:
-
Clone the repository to your local machine:
git clone https://github.com/Chetan3327/movie-recommendation-app.git
-
Navigate to the frontend directory:
cd frontend
-
Install dependencies:
npm install
-
Navigate to the backend directory:
cd backend
-
Install dependencies:
pip install -r requirements.txt
Name: Chetan Chauhan - [email protected]
Project Link: https://movie-recommendation-app-3327.netlify.app/