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ML-Based Sattu Adulteration Detection by MD SHAHAB UDDIN is a document available to read on EtoBox.
What is ML-Based Sattu Adulteration Detection about?
The research project focuses on developing a machine learning-based solution for detecting adulteration in Sattu, a traditional food prone to contamination with harmful substances. It highlights the health risks associated with common adulterants and the lack of existing ML research in this area. The project aims to create a portable detection tool that ensures food safety and protects consumers by accurately identifying adulteration levels.
- Author
- MD SHAHAB UDDIN
- Language
- EN