Medical Image Tagger is a collaborative project between my team and Harvard Medical University. It was designed to improve the efficiency of medical students by 20% by using medical domain knowledge and a web service to tag medical images with relevant medical tags and image types. I was responsible for designing and developing the backend logic and database schema.

The initial version of the project was built using Java, and after collecting nearly 1 million datasets from the web service, an offline function was added. The second version of the project was built using Python and Django.

Code Repository

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