📚 BookScout – AI-Powered Book Recommendation Web App 

Overview:
BookScout is a full-stack, AI-driven book recommendation platform that helps users discover books they’ll love. By combining semantic similarity, genre filtering, and automated metadata enrichment, it delivers accurate and personalized recommendations.

Key Features:

• Search & Recommend: Query by book title; TF-IDF + cosine similarity on descriptions and genres; optional genre filter checkboxes.

• Metadata Enrichment: Uses Google Books API for metadata, Wikipedia fallback for plot summaries/categories, and zero-shot genre classification with facebook/bart-large-mnli.

• Bulk Addition: Scrapes Goodreads lists for new titles, cleans/dedupes them, and adds in bulk with automated preprocessing.

• Data Utilities: Scripts for scraping, cleaning, genre counting, and project structure visualization.

Tech Stack:

• Backend: Flask, Pandas, BeautifulSoup, Hugging Face Transformers

• Frontend: Chart.js, dark-mode UI

• Data Storage: CSV-backed cache

Impact:

BookScout demonstrates how AI and natural language processing can be applied to personalized recommendation systems, combining full-stack development with scalable data workflows. 

For Source Code: