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Book Recommendation System

This project provides a book recommendation system that suggests similar books based on the input book title. The recommendations are made by comparing the summary and categories of books, and the category similarity can be weighted using a slider. The system uses natural language processing (NLP) and semantic embeddings to generate recommendations.

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Installation

Follow the steps below to install and run the project locally: 1- first run 'pip install -r requirements.txt' to install dependencies 2- run 'streamlit run app.py' to run the app

1. Clone the repository

Clone the repository to your local machine using Git:

git clone https://github.com/your-username/book-recommendation-system.git

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and recommend 5 books which are similar to it based on content.

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