

Lack of Open-Source Data for Prognosis
Users wanted to see how their condition was changing over time and whether they were improving or getting worse, but they didn’t know how to interpret the data and worried it might be mistaken for medical advice.
Lack of deeper, personalized explanations
People often struggled to understand why certain metrics looked the way they did, how trends were evolving, and how others with similar conditions were experiencing their health journey.
А lot of irrelevant information
There’s a lot of scattered information online about health conditions, but much of it isn't relevant to a person’s specific situation. People with chronic conditions often struggle to sift through many sources to find relevant answers.

Clear filters and charts
We propose creating an app that lets people with health conditions explore and organize health-related data that is not typically available through public sources.
Personalized data interpretetion
Thanks to the AI module, people can ask follow-up questions through an interactive chat and, based on their personal data, receive clearer, simpler explanations, like interpretations of test results, symptoms, or treatments.
AI-driven content selection
We created AI-driven functionality to deliver personalized articles, thematic recommendations, and interactive chat responses tailored to each user's data."

We propose an interface in a clear, interactive format. People can explore contextual articles and save useful insights for quick re-access.

We integrated a personalized AI assistant that collects and filters data, delivering results tailored to each user.

We developed an interface that enables people with chronic conditions to filter out irrelevant information and compare their data with similar users based on age, location, condition, or medications.
