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Ecograde: Leveraging Convolutional Neural Networks And Multi-Criteria Decision Analysis For Real-Time Detection And Quality Assessment Of Non-Biodegradable Waste Materials Poster

Ecograde: Leveraging Convolutional Neural Networks And Multi-Criteria Decision Analysis For Real-Time Detection And Quality Assessment Of Non-Biodegradable Waste Materials

EcoGrade is an intelligent waste assessment system that combines deep learning and decision analysis to improve recycling efficiency. It uses a YOLOv11-based convolutional neural network integrated with Multi-Criteria Decision Analysis (MCDA) to detect, classify, and evaluate the quality of non-biodegradable waste such as plastics and tin cans.

Group Members

star iconRakee D. Villasstar iconAdriane Altichestar iconRogin R. Santoceldezstar iconFraizer Quinn R. Turinganstar iconVian Andrei C. Vargas

Mentor

star iconMr. Anthony D. Aquino

Topics

star iconEnvironment

AVP

Gallery

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CS Expo 2025