EcoLens: An AI-Powered Web Application for Enhanced Recycling and Waste Management in the Philippines
Year: 2025
Type: article
Abstract: : This study presents EcoLens, an innovative AI-powered web application designed to support the United Nations Sustainable Development Goals (SDGs), particularly SDG 12: Responsible Consumption and Production, while contributing to SDG 4 (Quality Education), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 14 (Life Below Water), SDG 15 (Life on Land), and SDG 17 (Partnerships for the Goals). Addressing the critical solid waste management crisis in the Philippines—where approximately 35,580 tons of garbage are generated daily [12]. EcoLens promotes sustainable practices through enhanced recycling, waste segregation, and environmental education. The application integrates Convolutional Neural Networks (CNNs) via TensorFlow.js for real-time image recognition and classification, complemented by a recycling database with disposal instructions, facility mapping, and a gamified reward system. System evaluation using the ISO/IEC 25010 quality model with 102 participants demonstrated strong performance (scores: 76 for performance, 82 for accessibility, 100 for best practices, 82 for SEO) and high user acceptance (Likert means 4.44–4.71). By combining AI-driven technology, education, and behavioral incentives, EcoLens provides a scalable, SDG-aligned solution that advances waste reduction, environmental stewardship, and sustainable urban development in the Philippines.
Authors: Ariel L. Sampelo, Christian Clarence C. Uy, Andrey Jay G. Almosara, Czarina Mitz N. Chua, Eliza B. Ayo*
Institution: Centro Escolar University
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7083308664
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