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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recyclitix: Waste Classification with CNN - Mobile Application

SHILAP Revista de lepidopterología
Municipal Solid Waste Management
article

Recyclitix: Waste Classification with CNN - Mobile Application

article en

Abstract

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.

SHILAP Revista de lepidopterología
Cadi Ayyad University (MA), Moroccan Foundation for Advanced Science, Innovation and Research (MA), Sidi Mohamed Ben Abdellah University (MA)
Responsible consumption and production
Openalex Percentile: Top 44%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.