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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Smart Waste Management through IoT, Chat bots, and Large Language Models |
| Authors Name: | SIDDHARTH PATEL |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206260
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| Published Paper Id: | IJRTI2509073 |
| Published In: | Volume 10 Issue 9, September-2025 |
| DOI: | |
| Abstract: | The ongoing rapid growth of urbanization and industrial dynamics has made waste management issues more challenging to address globally, demonstrating the limitations of existing systems. With static schedules, no regular monitoring and minimal community involvement inefficiencies have resulted in delays, increased costs, and detrimental environmental impacts. This paper presents an integrated framework that leverages the Internet of Things (IoT), chatbots, and Large Language Models (LLMs) to overcome realised constraints. IoT-based smart bins provide a multitude of real-time data related to fill levels, hazardous emissions, disposal habits, while chatbots promote community input, awareness, and complaints resolution in multiple languages. LLMs process the variety of data received to produce predictive analytics and improve waste collection practices. The prototype was tested on residential, commercial, and industrial sites. The impact on waste management was sizeable - a 35% improvement of collection efficiency, a 20% improvement of fuel efficiency; community satisfaction was improved; and the data resulted in improvements in collection methods and schedules. In conclusion, the study demonstrates that IoT - chatbots and LLMs can help to convert waste management into a far more predictive, data and community engaged process. In addition to modus operandi gains efficiency, the framework approach is also environmentally beneficial relative to existing models, and offers communities an easy, scalable transition to a more robust smart city model. |
| Keywords: | Smart Waste Ecosystems, Predictive Sanitation Systems, IoT–LLM Synergy, Intelligent Resource Optimization, Citizen-Centric Waste Solutions, Urban Sustainability Technologies. |
| Cite Article: | "Smart Waste Management through IoT, Chat bots, and Large Language Models", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a655-a659, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509073.pdf |
| Downloads: | 0001458 |
| 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 |
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Published Paper ID: IJRTI2509073
Registration ID:206260
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier):
Page No: a655-a659 Country: BHOPAL, MADHYA PRADESH, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509073 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509073 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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