Book Recommender Model and Web App

Overview

This repository contains code for a book recommender model building and it's web app built using Streamlit. The app uses a machine learning model trained on a dataset available on Kaggle to recommend books based on user preferences.

Prerequisites

Make sure you have the following installed on your system:

• Python (>= 3.6)
• Streamlit
• Pandas
• Scikit-learn

You can install the required packages using pip:

pip install streamlit pandas scikit-learn

Dataset

The dataset used to train the book recommender model can be downloaded from Kaggle link. The dataset contains information about books, ratings, and user preferences.

Usage

1. Clone the repository:

git clone https://github.com/ChayanBhansali/BookRecommender
cd book-recommender

2. Run the Streamlit app:

streamlit run app.py

3. The app will open in your default web browser. You can now interact with the web app to get book recommendations based on your preferences.