An Intelligence Donation System using CNN and KNN

Sobh, Tarek Salah; Hassan, Alaa

doi:10.21608/asc.2025.367249.1035

An Intelligence Donation System using CNN and KNN

Document Type : Original Article

Authors

Tarek Salah Sobh ¹
Alaa Hassan ²

¹ The Higher Institute of Computer and Information Technology, El Shorouk Academy, , Cairo, Egypt

² Higher Institute of Computers and Information Technology, Computer Depart., El. Shorouk Academy, Cairo, Egypt

10.21608/asc.2025.367249.1035

Abstract

The growing concern over clothing waste and its environmental impact has motivated the
development of reliable solutions for managing donation surplus garments. This work plays an
important role to ensure a constant supply of clothes without waste. In addition, it supports both
donor and donation warehouse by applying intelligent techniques. This paper introduces a smart
clothing donation system leveraging Artificial Intelligence (AI). The system facilitates efficient
collection, classification, and distribution of donated clothes. Utilizing Convolutional Neural
Networks (CNN) for image-based classification achieving an accuracy of 92%, and K-Nearest
Neighbors (KNN) for text-based classification with an accuracy of 93%, the system ensures
accurate sorting of clothing items. The proposed approach aims to reduce textile waste while
enhancing accessibility to clothing for underprivileged communities. Experimental results
demonstrate the system's efficiency, achieving high accuracy in classification and significant
reductions in processing time. This AI-driven solution represents a significant step forward in
promoting sustainable clothing donation practices worldwide.

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Main Subjects