CleanSpot: A Smart Web-Based Garbage Detection and Reporting System for Urban Cleanliness

  • Unique Paper ID: 180758
  • PageNo: 2217-2220
  • Abstract:
  • Purpose of the Study: This research addresses the increasing challenge of urban waste accumulation by proposing a tech-based solution named "CleanSpot"—a user-centric web application that enables individuals to report garbage by uploading photos. This approach intends to foster civic engagement and streamline the communication channel between the public and municipal authorities like BBMP (Bruhat Bengaluru Mahanagara Palike). Research Questions/Objectives: • How can technology be used to streamline waste reporting in urban areas? • What impact does a real-time, image-based reporting system have on municipal efficiency? • Can digital solutions like CleanSpot increase community participation in civic maintenance? Methodology: The project utilizes modern web technologies including CSS, Java, JavaScript, Python with Django for the front end, and SQL for data handling and storage. The system is built to be intuitive and mobile-responsive, encouraging frequent use among citizens. Key Findings: CleanSpot proved to be efficient in facilitating quick and reliable garbage reporting. The use of visual evidence through image upload enhances the credibility of the reports. Users found the interface user-friendly and effective in generating responses. Conclusion: The CleanSpot project validates the hypothesis that citizen-friendly digital platforms can significantly improve waste management practices in urban areas. By bridging the communication gap, CleanSpot has the potential to influence long-term behavioral and policy changes.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{180758,
        author = {Deepanker P and Adhesh and Dyuthi T.G. and Divij A.P.},
        title = {CleanSpot: A Smart Web-Based Garbage Detection and Reporting System for Urban Cleanliness},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2217-2220},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180758},
        abstract = {Purpose of the Study: This research addresses the increasing challenge of urban waste accumulation by proposing a tech-based solution named "CleanSpot"—a user-centric web application that enables individuals to report garbage by uploading photos. This approach intends to foster civic engagement and streamline the communication channel between the public and municipal authorities like BBMP (Bruhat Bengaluru Mahanagara Palike).
Research Questions/Objectives: 
•	How can technology be used to streamline waste reporting in urban areas?
•	What impact does a real-time, image-based reporting system have on municipal efficiency?
•	Can digital solutions like CleanSpot increase community participation in civic maintenance?
Methodology: The project utilizes modern web technologies including CSS, Java, JavaScript, Python with Django for the front end, and SQL for data handling and storage. The system is built to be intuitive and mobile-responsive, encouraging frequent use among citizens.
Key Findings: CleanSpot proved to be efficient in facilitating quick and reliable garbage reporting. The use of visual evidence through image upload enhances the credibility of the reports. Users found the interface user-friendly and effective in generating responses.
Conclusion: The CleanSpot project validates the hypothesis that citizen-friendly digital platforms can significantly improve waste management practices in urban areas. By bridging the communication gap, CleanSpot has the potential to influence long-term behavioral and policy changes.},
        keywords = {},
        month = {June},
        }

Cite This Article

P, D., & Adhesh, , & T.G., D., & A.P., D. (2025). CleanSpot: A Smart Web-Based Garbage Detection and Reporting System for Urban Cleanliness. International Journal of Innovative Research in Technology (IJIRT), 12(1), 2217–2220.

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