Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application

Ritesh Maurya; Abhishek Kumar; Piyush Kumar Pandey; Satyajit Mahapatra

doi:10.1109/IATMSI64286.2025.10985706

Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application

Ritesh Maurya^*
, Abhishek Kumar
, Piyush Kumar Pandey
, Satyajit Mahapatra

^*Corresponding author for this work

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Biodegradable materials are those materials that can be easily broken down into simpler decomposable units by the various microorganisms, whereas non-biodegradable substances include those materials that do not decompose easily, contributing to environmental pollution. In this paper, a novel method has been proposed for the categorisation of biodegradable and non-biodegradable materials using deep learning model. In this work, a MobileNetV2 model augmented with multi-head attention (MHA) mechanism has been used for the categorisation of biodegradable and non-biodegradable products. The proposed model is deployed in a mobile application built using Flutter and Dart frameworks. Therefore, the proposed model is termed 'MHA-Mobile'. The proposed method classifies the biodegradable and non-biodegradable materials with 95.19% accuracy. Thus, the proposed model when deployed in form of mobile app has significant usefulness in biodegradable and non-biodegradable materials segregation.

Original language	English
Title of host publication	2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331521691
DOIs	https://doi.org/10.1109/IATMSI64286.2025.10985706
Publication status	Published - 2025
Event	3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 - Gwalior, India Duration: 06-03-2025 → 08-03-2025

Publication series

Name	2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025

Conference

Conference	3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025
Country/Territory	India
City	Gwalior
Period	06-03-25 → 08-03-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Information Systems and Management
Management, Monitoring, Policy and Law
Control and Optimization
Health Informatics
Communication

Access to Document

10.1109/IATMSI64286.2025.10985706

Cite this

Maurya, R., Kumar, A., Pandey, P. K., & Mahapatra, S. (2025). Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application. In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 (2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IATMSI64286.2025.10985706

Maurya, Ritesh ; Kumar, Abhishek ; Pandey, Piyush Kumar et al. / Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application. 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025).

@inproceedings{9a8b41a51f054a838f0d975db5737b14,

title = "Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application",

abstract = "Biodegradable materials are those materials that can be easily broken down into simpler decomposable units by the various microorganisms, whereas non-biodegradable substances include those materials that do not decompose easily, contributing to environmental pollution. In this paper, a novel method has been proposed for the categorisation of biodegradable and non-biodegradable materials using deep learning model. In this work, a MobileNetV2 model augmented with multi-head attention (MHA) mechanism has been used for the categorisation of biodegradable and non-biodegradable products. The proposed model is deployed in a mobile application built using Flutter and Dart frameworks. Therefore, the proposed model is termed 'MHA-Mobile'. The proposed method classifies the biodegradable and non-biodegradable materials with 95.19\% accuracy. Thus, the proposed model when deployed in form of mobile app has significant usefulness in biodegradable and non-biodegradable materials segregation.",

author = "Ritesh Maurya and Abhishek Kumar and Pandey, \{Piyush Kumar\} and Satyajit Mahapatra",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025 ; Conference date: 06-03-2025 Through 08-03-2025",

year = "2025",

doi = "10.1109/IATMSI64286.2025.10985706",

language = "English",

series = "2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025",

address = "United States",

}

Maurya, R, Kumar, A, Pandey, PK & Mahapatra, S 2025, Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application. in 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025. 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025, Gwalior, India, 06-03-25. https://doi.org/10.1109/IATMSI64286.2025.10985706

Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application. / Maurya, Ritesh; Kumar, Abhishek; Pandey, Piyush Kumar et al.
2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application

AU - Maurya, Ritesh

AU - Kumar, Abhishek

AU - Pandey, Piyush Kumar

AU - Mahapatra, Satyajit

PY - 2025

Y1 - 2025

N2 - Biodegradable materials are those materials that can be easily broken down into simpler decomposable units by the various microorganisms, whereas non-biodegradable substances include those materials that do not decompose easily, contributing to environmental pollution. In this paper, a novel method has been proposed for the categorisation of biodegradable and non-biodegradable materials using deep learning model. In this work, a MobileNetV2 model augmented with multi-head attention (MHA) mechanism has been used for the categorisation of biodegradable and non-biodegradable products. The proposed model is deployed in a mobile application built using Flutter and Dart frameworks. Therefore, the proposed model is termed 'MHA-Mobile'. The proposed method classifies the biodegradable and non-biodegradable materials with 95.19% accuracy. Thus, the proposed model when deployed in form of mobile app has significant usefulness in biodegradable and non-biodegradable materials segregation.

AB - Biodegradable materials are those materials that can be easily broken down into simpler decomposable units by the various microorganisms, whereas non-biodegradable substances include those materials that do not decompose easily, contributing to environmental pollution. In this paper, a novel method has been proposed for the categorisation of biodegradable and non-biodegradable materials using deep learning model. In this work, a MobileNetV2 model augmented with multi-head attention (MHA) mechanism has been used for the categorisation of biodegradable and non-biodegradable products. The proposed model is deployed in a mobile application built using Flutter and Dart frameworks. Therefore, the proposed model is termed 'MHA-Mobile'. The proposed method classifies the biodegradable and non-biodegradable materials with 95.19% accuracy. Thus, the proposed model when deployed in form of mobile app has significant usefulness in biodegradable and non-biodegradable materials segregation.

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U2 - 10.1109/IATMSI64286.2025.10985706

DO - 10.1109/IATMSI64286.2025.10985706

M3 - Conference contribution

AN - SCOPUS:105007427169

T3 - 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025

BT - 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025

Y2 - 6 March 2025 through 8 March 2025

ER -

Maurya R, Kumar A, Pandey PK, Mahapatra S. Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application. In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2025). doi: 10.1109/IATMSI64286.2025.10985706

Biodegradable and Non-biodegradable Materials Segregation Using AI-enabled Mobile Application

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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