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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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21653
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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Published Paper Details
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| Paper Title: | AI And IOT Based Smart Waste Management System |
| Authors Name: | Syed Khaja Ahmeduddin Zakir , Huda saleh AL-Busaidi , Ameera Sulaiman Al Naabi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205546
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| Published Paper Id: | IJRTI2507155 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i7.205546 |
| Abstract: | The rapid growth of urban populations has placed significant pressure on traditional waste management systems, leading to inefficiencies such as premature waste collection, overflowing bins, and environmental hazards. This paper presents a smart waste management system leveraging Internet of Things (IoT) and Artificial Intelligence (AI) technologies to optimize waste collection. The system integrates ultrasonic sensors for real-time waste level monitoring, load cells for weight measurement, and gas sensors (MQ-2) for hazardous gas detection. Data from these sensors are transmitted via Wi-Fi to cloud platforms (ThingSpeak and Blynk) for remote monitoring and decision-making. An AI model hosted on a FastAPI server analyzes the data to predict optimal collection times, reducing unnecessary pickups. Experimental results demonstrate the system’s reliability in real-time monitoring, with accurate sensor measurements and timely notifications. The proposed solution enhances operational efficiency, reduces costs, and supports sustainable urban development. |
| Keywords: | Smart waste management, IoT, AI, real-time monitoring, sustainability, Arduino MKR 1000, Sensors, Blynk App, Thingspeak |
| Cite Article: | "AI And IOT Based Smart Waste Management System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b390-b393, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507155.pdf |
| Downloads: | 000374 |
| 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: IJRTI2507155
Registration ID:205546
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205546
Page No: b390-b393 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507155 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507155 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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