Book-recommender-engine

LiveServerLink:

🔗 https://book-recommender-engine-1e13.onrender.com/

Overview:

Book recommender engine is a flask app developed in Python. It recommends appropriate books to users based on popularity and user interests.

Technology used:

• HTML & CSS
• Python
• Flask
• Bootstrap
• Jupyter NoteBook
• VScode
• Render

Guide to install and run the project

GitHub Setup :

• Fork the repository
• Check the forked repository in your profile
• Clone the project

Local Setup :

• Create a folder and open it
• For windows: Open git bash / For Linux: Open terminal and cd to that folder
• Clone the repository from link :
  git clone https://github.com/SunnyChaware/Book_rec.git
• setup a virtual environment and install the requirements : pip install -r requirements.txt
• Now, run the app.py file and the development server will start python app.py

Guide to contribute :

• Set original repo as your upstream remote : git remote add upstream https://github.com/SunnyChaware/Book_rec.git
• Pull updates from upstream : git pull upstream
• Make changes locally and push it your forked copy of the project
• Create a pull request in GitHub

Guide to use the project

• Upon running you'll be shown a Homepage which will show the recommendation of top 50 books with most ratings using the popularity based filtering and a navigationMenu to 'recomend'
• On clicking "recommend", you'll be asked to enter the name of a book.
• On clicking enter you will be recommended top books which have closest attributes and are most similar to the given input book using content based filtering model