game recommendations

The project involves deploying a board game recommendation system using FastAPI and PostgreSQL on Render. Key tasks include configuring a PostgreSQL database on Render, populating it with data, Dockerizing the FastAPI application, and deploying it as a Render Web Application. The PostgreSQL database is created on Render with the name “fastapi-database” using the free tier. The database connection is tested using the External Database URL, and tables are populated using a script. The FastAPI application is containerized with Docker, which involves creating a Dockerfile that specifies the base image, working directory, dependencies, and commands to run the application. The Docker image is built, tagged, and pushed to DockerHub. The image is then pulled into Render, where a personal access token is created for secure access. Environmental variables are configured for the FastAPI application, and upon successful deployment, the application can be accessed via a provided link, with Swagger documentation available for testing database connections. The project repository is available on GitHub, along with additional resources for FastAPI and Docker.