predict, prevent, protect.
Empowering individuals to manage chronic conditions with personalized health insights. Begin your journey toward better health today.
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health predictions
leverage machine learning to predict potential health risks—anticipate and act before disaster strikes. It’s proactive care, made simple. -
real-time monitoring
imagine a personal health assistant tracking your vitals, 24/7. Instant feedback on your daily metrics for continuous optimization. -
data security
rest assured, your health data is encrypted with military-grade security. Only authorized personnel (and, sadly, hackers) get a glimpse of your information.
Feature | Description |
---|---|
health score | dynamically generated based on recent metrics to give you an at-a-glance health status. No data available yet. Start adding metrics. |
risk level | real-time assessment of your current risk for various conditions based on tracked data. No data available yet. |
next check-up | set reminders and manage your check-up schedule seamlessly. Feature coming soon. |
health predictions | your health metrics will directly impact your personalized health predictions. Add metrics to begin. |
recent metrics | quickly view the latest health metrics you've entered. No metrics available yet. Start tracking today. |
add new health metric | easily track various health metrics including blood glucose, blood pressure, heart rate, and more. Add your first metric now. |
Category | Technologies / Tools |
---|---|
Frontend | React.js, Next.js (14.2.18) |
Backend & Security | Node.js, Express.js, reCAPTCHA, HSTS, Firebase |
UI/UX Frameworks | Tailwind CSS, Radix UI, shadcn/ui, Lucide (icons) |
Build Tools | Webpack, Vercel (deployment platform) |
Data Handling | WebSockets (for real-time updates), GraphQL (data querying) |
Performance | Priority Hints (performance optimization) |
- reminders for check-ups and medications
automated reminders to ensure timely follow-ups and medication adherence. - multi-device health data sync
sync your health data across multiple devices seamlessly for a unified experience. - advanced analytics dashboard
visualize and analyze trends in your health metrics with advanced analytics and predictive graphs. - integration with wearable devices
integrate with fitness trackers and smartwatches for seamless data collection. - AI-driven health insights
receive tailored recommendations based on predictive models for a proactive health management strategy. - community features
connect with peers for motivation, advice, and support in managing chronic conditions. - machine learning prediction backend
enhance backend prediction algorithms using more advanced machine learning models to provide highly accurate health predictions.
Explore the live version of the app here:
healthpredict ai
you can easily run healthpredictAI using docker. this is the simplest way to get started without worrying about environment setup.
- docker installed on your system.
pull the pre-built docker image from gitHub container registry:
docker pull ghcr.io/moroii69/healthpredictai:latest
Start a new container:
docker run -d -p 3000:3000 ghcr.io/moroii69/healthpredictai:latest
access the application at: http://localhost:3000
this is a personal project. if you have suggestions or would like to contribute, feel free to open an issue or submit a pull request.