Symptom Sense

Project Overview

Forever Young: Symptom Sense is an AI-powered application designed to help individuals living with chronic pain better manage their conditions. Unlike traditional symptom-tracking apps that act only as digital journals, Symptom Sense analyzes lifestyle and environmental data—such as sleep, stress, diet, and weather—to detect patterns, predict flare-ups, and provide personalized management strategies. While not a replacement for medical advice, the app empowers users to make informed decisions and improve their quality of life.

Envisioned Key Features

• AI-driven insights to identify correlations between symptoms and lifestyle or environmental triggers.
• Flare-up prediction and proactive recommendations for activity, medication timing, or lifestyle adjustments.
• Integration with external data sources (e.g., wearables) to improve accuracy and consistency.
• Secure handling of sensitive health data with GDPR/HIPAA compliance.
• Customizable tracking parameters with user feedback to refine AI models.

Planned Technologies

• React / Next.js for the web application
• AI/ML models for symptom pattern recognition and prediction
• Secure cloud storage with end-to-end encryption

Challenges & Learnings

Building Symptom Sense highlighted the complexity of balancing accurate AI insights with the variability of chronic pain experiences. Key challenges included ensuring consistent and reliable user input, protecting sensitive health data, and setting clear boundaries that the app does not replace professional medical advice. Through this project, we learned the importance of combining user feedback loops, wearable integrations, and robust privacy measures to create an effective and trustworthy health tool.