Big Data Analysis and Management for Food Testing Industries Using Machine learning Technique

The project concerns big data analysis and management for food testing industries by using Machine learning technique. Any food product before and during its distribution to the market must go through an extensive safety and quality tests at food testing laboratories. During this process, various microbiology and analytical chemistry tests will be performed on food products to make sure about the safety and quality of the food products before offering them in the market. During this project, our aim is to first collect and recognize various data generated at the food testing laboratory in order to make an organized data platform for the food testing results. We then utilize an appropriate machine learning technique to make meaningful data-driven decision analysis and suggest economical management strategies and services at various levels of food testing industries.

Faculty Supervisor:

Mohamed Cheriet


Vahid Asghari


Avi-life lab Inc


Visual arts


Information and communications technologies




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