Survey Paper of WALLE - AI Based Waste Management Project

This paper details the development of WALL.E, an AI-based waste management system designed to automate and optimize urban waste collection. The system addresses the inefficiencies of manual waste segregation and collection by integrating cloud computing and AI-powered image classification. Built on a modern web architecture with a Node.js backend, the platform provides role-based access for citizens and municipal authorities. The methodology employs a Convolutional Neural Network (CNN) for the classification of waste into ‘wet’ and ‘dry’ categories from user-submitted images. A critical architectural decision was to deploy the AI model within a serverless Google Cloud Function, ensuring low-latency processing and scalability for real-time municipal operations without compromising the main application’s performance. This design delivers a high-efficiency, accurate, and scalable solution for smart city waste management.