Sunn AI
Video
Project / product name: Sunn AI products
Link to the project: https://whimsical.com/sunn-ai-team-chellenge-no-3-Qktvbw55tE6M6kBRx5e34R
Team leader: David Hrabě
Challenge: 3. Data Analysis as Life Saver
Problem: People daily collect a huge amount of data related to their health via wearable, but this data is not accessible to health institutions.
Solution: A large amount of data is collected via wearables and our mobile application is sending the anonymous data into a centralized database where any machine learning algorithm selected by IKEM can be applied to process the data to recognize patterns.
Impact: IKEM will have access to a relevant medical set of data from anonymous users. This data can be used for further analysis and for training machine learning models. At the same time, the app users will benefit from having statistics about their health situation. Lastly, IKEM can anonymously communicate with the app users, ask them health-related questions, and provide them with recommendations.
Feasibility & financials: The main costs include mobile app development and the setup and maintenance of the centralized database. We estimate that the total costs of development & setup will not exceed 500 000 CZK. Regarding the maintenance part, this would be dependent on the technology used & the number of data collected. For the users, there are no additional costs since they can use the wearables that they already have. Regarding feasibility, we are using the technology that already exists.
What is new about your solution?: Cheap access to the anonymized user’s data related to their health. The users will be motivated to use the app because it will provide them with statistics and recommendations regarding their own health.
What you have built at the hackathon - text explanation + code (e.g. GitHub link): We shared our vision of our application and centralized database, but we did not do any coding nor made a prototype.
What you had before the hackathon, please mention open source as well: N/A
What comes next and what you wish to achieve: We wish that a large amount of relevant data will be accessible to researchers and healthcare institutions so that they can save lives and provide recommendations to the app users.