Udbara App — Telemedicine with AI-Driven Blood Test Analysis

Our client, Abdullah Chahin, is an American professor of medicine and a human rights advocate. Dr. Abdullah's mission is to assist Arabic-speaking people worldwide.

We proposed to the client to develop an app where users can seek consultations from top-tier medical specialists. An additional feature of the project is AI integration for interpreting lab test results.

Before creating the mockups, we meticulously planned the user journey. We made assumptions using the How Might We (HMW) methodology and solved several dozen problems during the design phase.

The app has three main sections for the patient: the home page, 'Medical Record,' and 'Consultations.' On the home page, we implemented a search function for documents and records.

Consultations take place in a text chat format, where patients and specialists can share documents and images. After the consultation, the patient receives a detailed final report from the doctor.

Users can upload their medical test results and receive an interpretation. To implement this functionality, we used the Tesseract AI model.

Cloud storage is a resource that costs money, so each user has a limited amount of storage space. Subscription payments allow you to increase your storage capacity.

Users pay separately for each consultation with doctors. Medical specialists receive a percentage of each consultation conducted.

To help users find the right specialist, we are working on further integration with neural networks. Integration with a large language model like ChatGPT will allow us to create an AI assistant capable of helping users at any time.

The app is available on marketplaces, and you can explore its features right now on your smartphone: