EnviroSmart – A Waste Management System using CNN.
Alok Sahu · International Journal for Research in Applied Science and Engineering Technology · 2025
EnviroSmart" is an intelligent waste management system designed to address the growing need for efficient waste disposal and recycling solutions. Utilizing advanced machine learning algorithms, the system detects and classifies waste items by analyzing their images. Once an image is uploaded, EnviroSmart identifies the type of waste, such as plastic, glass, paper, or organic materials, and provides users with detailed instructions on how to properly manage it. This may include guidance on recycling, composting, or proper disposal methods, promoting environmentally responsible behavior. To ensure optimal accuracy and efficiency, multiple machine learning algorithms will be implemented and tested, including convolutional neural networks (CNNs) and other image recognition models. The performance of each algorithm will be evaluated and compared based on criteria such as classification accuracy, speed, and robustness. By identifying the most effective algorithm, EnviroSmart aims to create a highly reliable waste management tool. The goal of this project is to simplify the waste management process for individuals and organizations, reducing human error and promoting sustainable practices. EnviroSmart not only helps in educating users about proper waste disposal but also contributes to the larger effort of reducing pollution and conserving natural resources.