SmartBinNet: A MACHINE LEARNING-BASED WASTE MANAGEMENT TECHNIQUE

SmartBinNet: A MACHINE LEARNING-BASED WASTE MANAGEMENT TECHNIQUE

Registration ID: IJNRD_222309

Published ID: IJNRD2407054

DOI: Click Here to Get

Alice Middha , Dr. Priyanka Gupta

CNN (Convolutional Neural Network), deep learning, machine learning, IoT, Artificial Intelligence.

Emerging technologies such as computer vision and artificial intelligence (AI) are expected to leverage the availability of big data to create intelligent machines capable of active learning and real-time predictions. In this paper, we propose a new approach called SmartBinNet waste management technology that uses machine learning algorithms, especially convolutional neural networks (CNNs), to revolutionize waste management practices. Using real-time data collection, preprocessing, feature extraction, and classification, this method allows for accurate waste classification and composition monitoring. The system provides valuable information on recycling rates, contamination incidents and long-term waste management trends through historical analysis and reporting. A feedback loop mechanism integrates user feedback and adjustments to improve the model's accuracy over time. The proposed method offers the potential to optimize recycling efforts, minimize waste generation, and promote sustainable waste management practices.

Published Paper   E-Certificate

"SmartBinNet: A MACHINE LEARNING-BASED WASTE MANAGEMENT TECHNIQUE", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 7, page no.a504-a514, July-2024, Available :https://ijnrd.org/papers/IJNRD2407054.pdf

Volume 9 Issue 7, July-2024

Pages : a504-a514

Paper Reg. ID: IJNRD_222309

Published Paper Id: IJNRD2407054

Downloads: 000121193

Research Area: Computer Science & Technology 

Country: Rajura, PUNJAB, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407054.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407054

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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