AI Recycle Bin: Revolutionizing Waste Management Through AI

This paper presents the AI Recycle Bin, an intelligent waste segregation system that leverages artificial intelligence (AI) classifiers and sensor technology for automated waste management. The system integrates machine learning algorithms and sensors to classify waste into categories such as plastic, metal, paper, and organic material. By combining image recognition and real-time sensor input, the AI Recycle Bin ensures efficient recycling, reduces human effort, and promotes environmental sustainability. The solution supports smart city initiatives and contributes to sustainable development. Experimental results demonstrate high classification accuracy and system robustness under diverse conditions. Index Terms--- AI Recycle Bin, waste segregation, machine learning, sensors, sustainable waste management, smart cities.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-07
DOI
https://doi.org/10.55041/ijsrem41389
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Recycle Bin: Revolutionizing Waste Management Through AI

Sachin Madhavrao Kanawade
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Municipal Solid Waste Management
article

AI Recycle Bin: Revolutionizing Waste Management Through AI

Sachin Madhavrao Kanawade
article en

Abstract

This paper presents the AI Recycle Bin, an intelligent waste segregation system that leverages artificial intelligence (AI) classifiers and sensor technology for automated waste management. The system integrates machine learning algorithms and sensors to classify waste into categories such as plastic, metal, paper, and organic material. By combining image recognition and real-time sensor input, the AI Recycle Bin ensures efficient recycling, reduces human effort, and promotes environmental sustainability. The solution supports smart city initiatives and contributes to sustainable development. Experimental results demonstrate high classification accuracy and system robustness under diverse conditions. Index Terms--- AI Recycle Bin, waste segregation, machine learning, sensors, sustainable waste management, smart cities.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 97%
Municipal Solid Waste Management
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