Date of Completion
Caiwen Ding; Xiang Chen
Computer Science and Engineering
Computer and Systems Architecture | Data Storage Systems | Other Computer Engineering
With nearly a third of the world’s population suffering from food-induced chronic diseases such as obesity, the role of food in community health is required now more than ever. While current research underscores food proximity and density, there is a dearth in regard to its nutrition and quality. However, recent research in geospatial data collection and analysis as well as intelligent deep learning will help us study this further.
Employing the efficiency and interconnection of computer vision and geospatial technology, we want to study whether healthy food in the community is attainable. Specifically, with the help of deep learning in the field of health geography, we aim to utilize image recognition to gather and model the role of the community food environment in shaping obesity and related chronic diseases.
kulkarni, Aditya, "Machine learning-based recognition on Crowdsourced Food Images" (2021). Honors Scholar Theses. 803.