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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

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Paper Title: SMART WASTE MANAGEMENT SYSTEM USING IOT AND KNN
Authors Name: Gauri Babaji Gadge , Anuradha Dadasaheb Thombare , Dipti Sopana Dake , Prajakta Prabhakar Landge , Ashwini Pawale
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IJRTI_203785
Published Paper Id: IJRTI2506058
Published In: Volume 10 Issue 6, June-2025
DOI:
Abstract: A Brilliant Cities are being planned and worked for agreeable human residence. Among administrations that Smart Urban areas will provide is the naturally well-disposed waste/junk accumulation and preparing. In this paper, we inspire and propose an Internet of Things (IoT) - empowered framework engineering to accomplish dynamic waste accumulation and conveyance to handling plants or exceptional junk tips. Previously, squander accumulation was dealt with in a static way utilizing traditional operations look into approach. As proposed in this paper, nowadays, with the increase of sensors and actuators, and solid and universal portable correspondences, the Web of Things (IoT) enables dynamic arrangements aimed at improving the waste vehicle fleet measure, accumulation courses and organized waste receive. We suggest a best question based dynamic booking model to tackle the challenges of close constant planning driven by sensor information streams. An Android application together an easy-to-use GUI is produced and introduced with a specific end purpose to verify usefulness and evaluate a waste collection scenario using trial data. Finally, the suggested models are evaluated on created and real data from St. Petersburg city district, Russia. The models show consistency and accuracy.
Keywords: Waste management system, Disposal, Dynamic Waste Collection, IOT
Cite Article: "SMART WASTE MANAGEMENT SYSTEM USING IOT AND KNN", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a521-a527, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506058.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2506058
Registration ID:203785
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a521-a527
Country: Pune, Maharashtra, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506058
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506058
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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