AI-Based Cloud Waste Classifier System

This project report introduces an **AI-driven waste classification system** designed to solve global environmental issues by automating the sorting of refuse. Utilizing **machine learning models and cloud computing**, the system captures or uploads images to categorize debris into groups such as **recyclable, hazardous, and organic waste**. The technical framework relies on a **three-tier cloud architecture**—incorporating tools like **Python, TensorFlow, and AWS**—to ensure the platform is scalable, secure, and accessible across various devices. The development methodology includes rigorous **data augmentation and neural network training** to provide users with instantaneous visual feedback on their disposal habits. Ultimately, the authors aim to **promote environmental sustainability** and increase recycling accuracy by replacing inefficient manual sorting with high-speed **automated identification**.