NEURO SORT: AI-DRIVEN WASTE INTELLIGENCE SYSTEM

Authors

  • Surpurkar Abhinav Narendra Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Maniyar MD Umar Nizamaoddin Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Korekar Supriya Satish Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Muskan Tayyab Sayyad Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Umbarje Yash Rajkumar Student, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India
  • Kharosekar Aishwarya Sudhir Lecturer, Department of Computer Engineering, A.G. Patil Polytechnic Institute, Solapur, Maharashtra, India

Abstract

Effective waste operation is pivotal for environmental sustainability, yet homemade sorting remains time- consuming and error-prone. NeuroSort AI- Powered Waste Bracket System leverages artificial intelligence to automate waste identification with over 95 delicacy. By classifying waste into four primary orders — Recyclable,Non-recyclable, Organic, and Dangerous the system enhances waste isolation effectiveness. druggies can input waste data via image uploads or real- time camera prisoner, making the platform largely accessible across multiple bias, including mobile phones. Advanced analytics give real- time waste distribution perceptivity, performance shadowing, and literal data analysis, enabling informed decision- making for businesses and environmental associations. By reducing sorting time by 40 and perfecting recycling delicacy by 60, NeuroSort significantly lowers waste operation costs and minimizes environmental impact, contributing to a cleaner and further sustainable future.

Downloads

Published

2025-04-13

How to Cite

Surpurkar Abhinav Narendra, Maniyar MD Umar Nizamaoddin, Korekar Supriya Satish, Muskan Tayyab Sayyad, Umbarje Yash Rajkumar, & Kharosekar Aishwarya Sudhir. (2025). NEURO SORT: AI-DRIVEN WASTE INTELLIGENCE SYSTEM. JournalNX - A Multidisciplinary Peer Reviewed Journal, 11(4), 10–18. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/5541

Issue

Vol. 11 No. 4 (2025): Journalnx

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.