Recyclitix: Waste Classification with CNN - Mobile Application
Recylitix is an innovative mobile application that improves waste sorting efficiency through AI-powered image classification and contextual guidance. Leveraging computer vision and deep learning models using TensorFlow Lite, Recyclitix enables users to accurately identify waste types and receive localized recycling recommendations. This intelligent sorting mechanism reduces classification errors, optimizing recycling processes and minimizing the environmental impact of poorly sorted waste. The platform is built on a modern architecture that integrates a Spring Boot backend with a native Android application. Communication between components is facilitated by Retrofit for efficient API interaction. By combining robust machine learning with a user-centric mobile interface, Recylitix bridges the gap between sustainable practices and everyday behavior. It enables individuals, municipalities and waste management players to adopt smarter, more responsible recycling habits.
Institutions
- Cadi Ayyad University (MA)
- Moroccan Foundation for Advanced Science, Innovation and Research (MA)
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Journal
- SHILAP Revista de lepidopterología
- Published
- 2025-09-01
- Primary Topic
- Municipal Solid Waste Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00