Included email and facebook signups. Email signups are for people who prefer to not use facebook for healthcare data or other privacy reasons. Also, it helps in collecting users' most up-to-date email addresses for user acquisition and retention.

Architecture of the app includes four pages: home, reports, chat and profile. Home allows users to upload a new report. All the lab reports are displayed inside reports page. Users can ask questions to AI doc on the chat page. Questions are processed with advanced natural language processing API proprietary to DOC.AI. I also added prepopulated questions for each bloodmarker to compensate limitations of the API.

Included two methods to collect lab reports:

1. Scanning blood reports

1. Importing from hospital/lab directly through API

Came up with a card style to display lab report data in more user friendly way. It is generally hard for patients to understand medical reports because they do not understand medical terminologies. We grouped bloodmarkers based on which organs they are related to and displayed them in seperate cards. I came up with two iterations as shown below. The first one was better in terms of understanding more about blood markers where the second is more intuitive for chatting feature. Also, came up with a new color coding for showing high, low and normal values.