Fleming | AI-Powered Symptom Checker & Preliminary Diagnosis

Project Objective

The goal was to design Fleming, an AI-driven mobile app that helps users interpret their body’s signals and understand potential health issues. The app provides preliminary medical diagnoses and symptom checks, simplifying complex medical information into an approachable, reliable experience. This project was part of the EU Fund initiative for an automated AI platform for disease identification and centralized symptom tracking.

Challenges & Constraints

1. Complex medical data: Translating a vast database of diseases and symptoms into an understandable interface for non-professional users.

2. User trust & clarity: Ensuring users feel confident in the AI-generated insights while avoiding confusion or misinformation.

3. Regulatory compliance: Designing in accordance with EU medical standards and guidelines for health-related apps.

4. Engagement & accessibility: Making symptom checking and preliminary diagnosis intuitive and easy to use on mobile devices.

Solution & Approach

1. AI-powered symptom checker. Users can input symptoms and receive preliminary, data-backed insights, helping them better understand potential health issues.

2. Clear, approachable interface. The design simplifies medical terminology and presents results in a visually digestible format, reducing anxiety and confusion.

3. Centralized medical database integration. The app leverages a comprehensive EU-standardized database, ensuring reliability and up-to-date medical information.

4. User-focused workflow. Every step—from symptom input to AI-generated insights—is designed for clarity, simplicity, and speed, making the app accessible to all users.

5. Project compliance & impact. Designed to meet EU Fund project requirements, Fleming provides a safe, trustworthy, and intelligent tool for preliminary health assessment.

Impact

Fleming empowers users to interpret their health signals accurately and confidently, bridging the gap between complex medical data and everyday understanding while supporting early detection and informed health decisions.