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This HealthAI landing page offers , intuitive interface that highlights AI-powered healthcare , Symptom Checker, and Reports.
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Structured UI for selecting common symptoms. AI provides: Condition overview Disease probability percentages
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This is Child Health Analysis Dashboard, Growth insights (mock height/weight charts) Vaccination tracker Nutrition & development milestone
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This is the report page , which consist comparison between reports
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This is ChatBot
Inspiration
Millions of people struggle with fever and common health issues without quick access to reliable guidance. Existing health apps are fragmented—one for tracking, another for diagnosis, and none providing instant AI-driven insight. We wanted to create a single, intelligent, and secure platform that empowers users to understand their symptoms and take action confidently.
What It Does
HealthAI is an AI-powered web platform that offers instant, personalized health assistance. Users can describe symptoms or upload images for diagnosis, check disease probabilities, analyze child health growth, explore a vast disease library, and securely store medical reports—all while chatting with an AI health assistant in real time.
How We Built It
We built a single-page React web app powered by Google Gemini API for AI analysis and Firebase for authentication, database (Firestore), and cloud storage. This serverless, scalable setup ensures smooth user experience, data security, and fast performance across all modules.
Challenges We Ran Into
Integrating multimodal AI (text + image) analysis reliably
Managing secure and private user data flow in Firebase
Handling prompt optimization for accurate medical predictions
Designing a unified interface combining multiple AI tools seamlessly
Accomplishments We’re Proud Of
Successfully deployed a full AI-integrated, cloud-based health platform
Built structured diagnostic tools (Symptom Checker, Child Health Analyzer)
Designed a large searchable disease library with 200+ entries
Achieved real-time, secure health history tracking for every user
What We Learned
We learned how to combine AI, cloud, and healthcare data responsibly, maintaining accuracy and privacy. We also explored prompt engineering for health-related AI models and gained experience in integrating multimodal AI into web applications.
What’s Next for AI-Powered Healthcare at Your Fingertips
Add real-time fever trend heatmaps and outbreak detection
Introduce teleconsultation with verified doctors
Enable multilingual chatbot and regional health insights
Implement AI-based medical report summarization and comparison
Expand to mobile and wearable integrations for continuous health monitoring
Built With
- chart.js-(for-data-visualization)
- cloud-storage
- css-frontend-framework:-react.js-(single-page-application)-ai-engine:-google-gemini-api-for-multimodal-(text-+-image)-health-analysis-backend-&-cloud-services:-firebase-(authentication
- firestore-database
- hosting)-database:-firebase-firestore-(for-secure-user-history-and-records)-ui/ux-design:-tailwind-css
- html
- languages:-javascript
- material-ui-version-control-&-deployment:-github-+-firebase-hosting-/-vercel-apis-&-libraries:-gemini-api
- react-router

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