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README.md

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-# Content-Based Book Recommender System
-
-This project provides a modular implementation of a content-based book recommendation system using Python. It uses TF-IDF vectorization and cosine similarity to recommend books based on their summaries.
-
-## Features
-- Load and preprocess datasets
-- Compute similarity between books based on their summaries
-- Generate content-based recommendations
-
-## Files
-- `app.py`: Entry UI for the recommendation system
-- `data_loader.py`: Handles data loading and preprocessing
-- `recommender.py`: Core recommendation logic
-- `requirements.txt`: Lists dependencies
-
-## Dependencies
-- `pandas`: For data manipulation
-- `scikit-learn`: For TF-IDF vectorization and cosine similarity calculation
-
-## Usage
-1. Install dependencies:
-   ```bash
-   pip install -r requirements.txt