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Waste Sorting in Recycling Using Deep Learning
Mary MwangiAfrican Leadership UniverisityDepartment2021
Abstract
The recycling process in Kigali, Rwanda, faces errors and time-consuming sorting. To simplify this process, a project aims to use machine learning concepts to classify recyclable and non-recyclable waste materials.
Metadata
Author
Mary Mwangi
Supervisor
Binusha Balachandran
Faculty
COMPUTER SCIENCE
Department
Not listed
Document type
Final Year Project
Year
2021
Keywords
robotics, management of waste, machine learning, predictive modelling, data science, deep learning, neural networks, artificial intelligence, waste sorting recycling, sorting recycling deep
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License
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