Project description:
It is a research-based product that assesses the likelihood of an adult experiencing a fall based on a proprietary patent-pending algorithm. It is conducted on an iPhone, which transmits raw test result data to an SQL environment, which processes the raw test results, generates a test report delivered to the ordering practitioner and maintains records, and generates feeds to the billing app via an API.
Role & Responsibility:
Worked as the main back-end developer and lead the whole project with a team of 4 people. It is being developed in Python Django REST APIs with React on the front end. For the Algorithm, we used the AWS Lambda service to process the raw results received via the iPhone app and returned the results back to the web portal to generate the report.
