ChandraPrakash-Bathula/Apparel-Recommendations

This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

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Experimental

This system helps online apparel retailers suggest relevant clothing items to shoppers. By analyzing product descriptions and images, it takes in your catalog data and a shopper's preferences or viewed items, and outputs a personalized list of recommended apparel. This is for e-commerce managers, merchandisers, or business analysts looking to enhance customer shopping experiences and boost sales.

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Use this if you manage an online apparel store and want to automatically provide customers with highly relevant clothing recommendations based on product details and visual styles.

Not ideal if your primary goal is to recommend products outside of apparel or if you need recommendations based purely on user behavior without considering item features.

e-commerce retail product-recommendation online-merchandising customer-experience
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 0 / 25

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Last pushed

Jun 12, 2025

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ChandraPrakash-Bathula/Apparel-Recommendations"

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