Bhuian, Mohammed Belal HossainIslam, Md. MahmudulKafi, Mr. Abdulla HilRahman, Noshin TarannumShaikat, Md Al HasanJobayer, MdAntor, Md Borhan Uddin2024-07-032024-07-03© 20232023-09ID 19221014ID 19321001ID 19321007ID 19321025http://hdl.handle.net/10361/23645Cataloged from PDF version of final year design project.Includes bibliographical references (page 152-154).This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.This project presents a comprehensive solution to address the growing environmental concerns associated with plastic waste. Through image processing and machine learning algorithms, the system accurately identifies plastic bottles, facilitating their proper disposal. By integrating microcontrollers and motors, this system encourages responsible disposal practices among users by automating the detection and categorization of plastic bottles into respective trash compartments. IoT technology records the weight of the plastic bottle, associating it with the user as virtual currency in the cloud. Users are incentivized through this rewards system which they can conveniently track via a mobile application. The reward points can be redeemed for various benefits, promoting sustainability. Real-time data tracking and IoT integration further enhance efficiency of the system. At its core, this innovative system seeks to revolutionize the way we interact with plastic waste, fostering a cleaner, greener, and more conscientious society.194 pagesenBrac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Plastic wasteImage processingCategorizationVirtual currencyReal-time data trackingPlastic scrapImage processing--Technological innovationsReal-time processingProject Report