Book Recommendation System with React UI

This is a simple recommendation system project that implements popularity based recommendation system and collborative filtering system to recommend books.

Steps to setup the project

Setting up the backend

1. Create an python environment with python version = 3.11.5, for conda it will be :

       conda create --name book-recommendation python=3.11.5
   

2. Then activate the environment, for conda :

       conda activate book-recommendation
   

3. Install the dependencies using pip

       pip install -r requirements.txt
   

Starting Fast API backend

Starting backend for development :

    python app.py -e dev 

Starting backend for production :

    python app.py -w 4

** optional argument : -w/--workers (default 1) (only for production)

Visit http://localhost:8000/hello to check if backend api running properly. You should see this message :

    {
        "message": "Hello from book-recommender-api"
    }

API docs will be available at :

• http://localhost:8000/docs
• http://localhost:8000/redoc

To work on UI (React)

To start the development server (vite + react + tailwindcss) :

    cd ui

If you're running it for the first time :

    npm i

then

    npm run dev

Building the ui

    npm run build 

The output directory will be : /public

Other important stuff

• To change backend port in development or production use /config.
• Dataset taken from kaggle.
• Followed tutorial of CampusX to create this project's backend.