Smart AI Garbage Management System SAGMS

Project Code :TCMAFS1289

Objective

The primary objective of the Smart AI Garbage Management System (SAGMS) is to develop an intelligent and automated platform that streamlines the entire waste management process through the integration of artificial intelligence and modern web technologies. The system aims to accurately classify waste images as dry, wet, or plastic and prioritize them based on urgency (high, medium, low) using AI models. It seeks to enable efficient coordination between users, municipal corporation officers (MCs), and administrators through role-based modules for reporting, monitoring, assigning, and collecting waste. Additionally, the project aims to promote citizen engagement by incorporating a reward-based leaderboard system, encouraging timely and responsible waste reporting. Ultimately, SAGMS strives to enhance urban cleanliness, optimize municipal operations, and build a sustainable and participative waste management ecosystem.

Abstract

The Smart AI Garbage Management System (SAGMS) is a full-stack intelligent waste management platform developed using the MERN stack (MongoDB, Express.js, React.js, Node.js), designed to enhance urban cleanliness through AI-powered waste classification and efficient role-based workflow. It employs computer vision techniques to identify and categorize waste types such as dry, wet, and plastic, and prioritize them as high, medium, or low urgency. The system operates across three roles: Admins manage municipal corporation approvals, user accounts, and assign waste reports; Municipal Corporation Officers (MCs) register, log in, view AI-tagged waste reports, collect and update status; while Users can register, log in, post waste reports by uploading images, view their reports, earn reward points, access leader boards, and manage their profiles. The AI model embedded in the backend automatically processes image data to tag the waste type and urgency, ensuring faster and smarter allocation of clean-up tasks. SAGMS thus offers a transparent, responsive, and scalable ecosystem for smart urban sanitation by integrating real-time AI insights, gamified user participation, and efficient municipal coordination.


Keywords: AI Waste Classification, MERN Stack, Smart Garbage Reporting, Role-Based Workflow, Reward & Leaderboard System

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE REQUIREMENTS:

  •      Operating System           :  Windows 7/8/10
  •            Server-side Script           :  Express js
  •      Programming Language  :  JavaScript
  •           IDE/Workbench             :  VS Code
  •           Database                        :  Mongo dB
  •            Clint Side                         : React js

HARDWARE REQUIREMENTS:

ΓΌ Processor                       - I3/Intel Processor

ΓΌ Hard Disk                      - 160GB

ΓΌ Key Board                      - Standard Windows Keyboard

ΓΌ Mouse                            - Two or Three Button Mouse

ΓΌ Monitor                          - SVGA

ΓΌ RAM                              - 8GB

Demo Video

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