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  Trend tracker of different metrics in blood test reports.

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  Viewing functionality of blood test report PDF.

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  Appointment Scheduling system for booking follow-up appointments with professionals to discuss diagnostics and preventive measures.

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  All past blood test reports are stored in database for convenient access. Blood test report PDFs can be viewed and downloaded at anytime.

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  Quantitative data that can be discussed with health professionals after scheduling appointment through scheduling system.

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  Interactive graphs of different metrics in blood test reports.

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  AI-Insights and recommendations, explains your symptoms and early-signs of conditions, also recommends lifestyle and diet changes.

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  Upload blood test reports for analysis, stored in database and then parsed to feed into Gemini API.

Inspiration

Many older adults and people with disabilities struggle to understand complex medical reports, especially blood tests.
Personally, I’ve seen my grandparents face this problem, they live alone and find it hard to make frequent hospital trips.
This inspired us to create HealthAlzer, a tool that simplifies healthcare access and makes medical data more human-friendly.

What it does

HealthAlzer takes a user’s blood test report and transforms it into clear, easy-to-understand insights.
Instead of confusing charts and numbers, users get simple explanations, health flags, and suggestions for next steps.
It also connects users with doctors for follow-ups and is designed with accessibility in mind for seniors and disabled individuals.

How we built it

• Frontend: Next.js + TailwindCSS for a clean, accessible interface
  
• Backend: Supabase for authentication and secure file storage
  
• AI/ML: Gemini API to analyze and explain blood test results in simple language
  
• Integration: Appointment booking system for follow-ups with healthcare providers
  

Challenges we ran into

• Parsing different blood test formats consistently
  
• Ensuring medical accuracy while keeping explanations simple
  
• Making the UI accessible for older users with limited tech experience
  
• Balancing speed of analysis with cost of running AI models
  

Accomplishments that we're proud of

• Built a working prototype in a short timeframe
  
• Created an accessibility-first design focused on seniors and disabled users
  
• Successfully integrated AI-driven analysis with real-world medical report data
  
• Developed a meaningful product inspired by personal experiences
  

What we learned

• How to structure healthcare data for AI interpretation
  
• The importance of accessibility in design, especially for seniors
  
• How to integrate Supabase for authentication and secure file uploads
  
• Real-world healthcare problems are both technical and deeply human
  

What's next for HealthAlzer

• Add multi-language support for non-English speakers
  
• Build voice-assistant features for visually impaired users
  
• Partner with labs and healthcare providers for direct integration
  
• Explore predictive health insights using longitudinal data
  

Built With

• express.js
• javascript
• jsx
• next.js
• node.js
• supabase
• tailwindcss
• typescript