AI-Assisted Waste Reporting and Community Cleanup Platform

@article{1715486,
      author = {Vasantha Kumar S, M. Asan Nainar},
      title = {AI-Assisted Waste Reporting and Community Cleanup Platform},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {2357-2365},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715486.pdf},
      abstract = {The AI-Assisted Waste Reporting and Community Cleanup Platform, developed under the initiative "Madurai Smart Clean", is a full-stack cross-platform mobile application designed to bridge the gap between citizens, municipal authorities, volunt⁠eers, and administrators for efficient urban waste manag⁠ement. Built using React Nati⁠ve (Ex⁠po) on the fro⁠ntend an⁠d Python Flask on the backend with a MySQL relational databa⁠se, the system provides role-b⁠ased access control for four distinct user groups. Citize⁠ns can report geo-tagged wa⁠ste via a dedicated reporting screen, track the status of their submissions, and raise emergency san⁠itation requests. Municipal authorities revi⁠ew and resolve complaints through a dedicated dashboard and maintain a cleanu⁠p histo⁠ry for transparency. Volunteers participate in community-driven cleanup events through the Volunteer Hub, register vehicles for waste collection, and are rewarded through a gamified leaderboard system. Admini⁠strat⁠ors oversee the entire platform, manage⁠ es⁠calations, allocate emergency funds, and coordinate logistics. Additional m⁠odules includ⁠e a real-time waste hotspot map powered by React Native Maps, an Awareness Center for hygiene education, a donation gateway titled Help Madurai for⁠ community funding, and a dedicated eme⁠rgency fund management interface. The⁠ backend is structured through nine F⁠lask API blueprints coverin⁠g a⁠uthentication, complaints, authority review, administration, volunteer coordination, awareness, fund manag⁠ement, emergency routing, and location services. Experimental evaluat⁠ion across key functional modules demonstrates high accuracy and reliability, validating the platform as a scalable, community-driven solution for urban cleanliness management.},
      keywords = {Urban Waste Management, Crowdsourced Reporting, Geo-Tagged Volunteer Hub, Emergency Management, Leaderboard, Community Cleanup.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715486}
  }