The problem Eureka solves

1. Users are able to confide their emotions through speech where Eureka will translate it into text using IBM Watson’s Speech to Text service.
2. Eureka will use IBM Watson’s Personality Insights to analyze text to understand its sentiment in a relational environment conductive to experimental learning and help build the user’s confidence in their own natural processes resulting in a deeper understanding of themselves.
3. Users will be able to see the results, take quick action based on the response and textual advice, and be able to identify and analyze their emotions specifically over a wide range of spectrum.
4. Users will have the option to send the results over to their psychologist where the psychologist will be able to diagnose early onset clinical mental disorders and/or recommend medications and future actions.
5. Doctors will be able to see a compiled view of all of the anonymous clients’ data and be able to analyze this Big Data to detect from a macroscopic view how, why, when, and where people are developing their disorders.

Challenges we ran into

1. We used frameworks and technologies that we weren't familiar with such as Ionic and IBM Watson, learnt them overnight and implemented our idea into a product.
2. The Speech-To-Text convertion wasn't easy as most browsers doesn't have support for Speech Recognition.