Implemented an image annotation web application with Python, which is used for Computer Vision research, deployed on the Lab Server.

Using Python Flask as the backend framework, PostgreSQL as the database. Bootstrap, HTML, JavaScript and Fabric JS are used for front end development.

Users can annotate bounding boxes for object localization and can match identical objects in pairs of images

Assisted in Risk Control Department creating and maintaining the database information, analyzing the date, and creating model.

Gave several presentations on maintaining the credit information system at Rong 360.