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Proposer
Cristina Turcanu
Title
Classification of Recyclable Waste Using Machine Learning
Goal
The goal of this project is to develop an intelligent, real-time waste classification system using Machine Learning (such as Convolutional Neural Networks) to accurately detect and sort recyclable materials such as paper, plastic, etc using a dataset.
Description
The system aims to improve the efficiency of waste management and support sustainable recycling practices.
Resources
Potential datsaset: www.kaggle.com/datasets/raijincheng/rethink-recycle-dataset?resource=download
Background
Url
Difficulty Level
Challenging
Ethical Approval
None
Number Of Students
2
Supervisor
Cristina Turcanu
Keywords
convolutional neural network (cnn) image recognitioreal-time detection, smart waste sorting, sustainable recycling, computer vision, intelligent system, deep learning
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
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