Healthwise

Your go-to assistant for AI-powered medical symptom analysis and pharmaceutical recommendations.

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Inspiration

Healthcare accessibility remains a critical challenge worldwide. Many people struggle to get timely medical advice, especially in underserved areas or during off-hours. We were inspired to create a solution that combines AI-powered diagnostic assistance with practical pharmacy location services, making healthcare more accessible and immediate for everyone. The goal was to bridge the gap between symptom onset and professional medical care while empowering users with reliable health information.

What it does

Healthwise is a comprehensive AI-powered health platform that provides:

Intelligent Symptom Analysis: Users input their symptoms, age, and duration, and our OpenAI-powered system generates structured medical assessments including primary diagnosis, confidence levels, differential diagnoses, recommended tests, and urgency ratings Smart Pharmacy Finder: GPS-enabled location service that finds nearby pharmacies with real-time data from Google Places API, including ratings, hours, and directions Personalized Health Dashboard: Tracks symptom history, risk assessments, and provides health insights over time Bilingual Support: Full French and English localization for accessibility Secure Authentication: Google OAuth and credential-based login with encrypted user data storage

How we built it

Tech Stack:

Frontend: Next.js 15 with React 19, Tailwind CSS for responsive design Backend: Supabase PostgreSQL database, NextAuth v5 for authentication AI Integration: OpenAI GPT-3.5-turbo for medical analysis with structured JSON responses Maps & Location: Google Maps API and Google Places API for pharmacy discovery Internationalization: Custom React Context system supporting English/French Deployment: Vercel with environment variable management Architecture: Built with server-side rendering, API routes for secure data handling, and client-side components for interactive features. Implemented proper data validation, error handling, and responsive design principles.

Challenges we ran into

Medical AI Accuracy: Crafting precise prompts for OpenAI to generate medically sound, structured diagnoses while maintaining appropriate disclaimers API Integration Complexity: Managing multiple APIs (OpenAI, Google Maps, Google Places) with proper error handling and rate limiting Real-time Location Services: Implementing GPS permission handling and fallback address geocoding for pharmacy finding Internationalization: Building a custom i18n system when next-intl proved incompatible, ensuring medical terminology was accurately translated Data Security: Properly handling sensitive health data with encrypted storage and secure authentication flows State Management: Coordinating complex state between symptom checker, pharmacy finder, and user dashboard components

Accomplishments that we're proud of

Production-Ready Medical AI: Successfully integrated OpenAI to provide structured, clinically-relevant symptom analysis with confidence scoring Seamless User Experience: Created intuitive flows from symptom entry → AI diagnosis → pharmacy finder → user dashboard Real-World Data Integration: Connected to live Google Places API for actual pharmacy locations, ratings, and business hours Complete Bilingual Platform: Implemented comprehensive French/English support including medical terminology Robust Authentication System: Secure user management with Google OAuth and traditional credentials Responsive Design: Mobile-first approach ensuring accessibility across all devices Data Persistence: Complete user history tracking with symptom analysis storage and dashboard insights

What we learned

AI Prompt Engineering: How to structure prompts for consistent, medically-appropriate JSON responses from language models Healthcare UX Design: The importance of clear, reassuring interface design when dealing with health-related anxiety API Orchestration: Managing multiple external services while maintaining performance and reliability Internationalization Challenges: Building custom translation systems and handling cultural nuances in medical terminology Real-time Geolocation: Implementing GPS services with proper fallbacks and user privacy considerations Medical Ethics in Tech: Balancing AI assistance with appropriate disclaimers and emergency guidance

What's next for Healthwise

Immediate Roadmap:

Enhanced AI Models: Integration with specialized medical AI models for improved diagnostic accuracy Telemedicine Integration: Connect users directly with healthcare providers for follow-up consultations Medication Reminders: Smart notification system linked to pharmacy prescriptions Health Metrics Tracking: Vital signs monitoring and trend analysis Emergency Services: Direct integration with local emergency services for high-urgency cases Long-term Vision:

Global Expansion: Multi-language support for Spanish, Mandarin, and other major languages Wearable Integration: Apple Health, Fitbit, and other health device connectivity Insurance Integration: Direct billing and coverage verification with major health insurers Clinical Partnerships: Collaboration with healthcare institutions for validated diagnostic protocols Machine Learning Evolution: Continuous improvement of diagnostic accuracy through user feedback and medical professional validation Impact Goal: Democratize healthcare access globally, providing immediate, intelligent health guidance to underserved populations while seamlessly connecting them to professional medical care and pharmacy services.

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