Skip to content

A comprehensive health management tool offering predictive insights, real-time monitoring, and secure data handling to manage chronic conditions

Notifications You must be signed in to change notification settings

moroii69/HealthPredictAI

Repository files navigation

healthpredict ai

get started

predict, prevent, protect.

Empowering individuals to manage chronic conditions with personalized health insights. Begin your journey toward better health today.

key features

  • 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.


dashboard overview

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.

tech stack

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)

future roadmap

  • 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.

live demo

Explore the live version of the app here:
healthpredict ai


🐳 docker

you can easily run healthpredictAI using docker. this is the simplest way to get started without worrying about environment setup.

pre-requisites:

  • docker installed on your system.

pull the Docker Image:

pull the pre-built docker image from gitHub container registry:

docker pull ghcr.io/moroii69/healthpredictai:latest

Run the Docker Container:

Start a new container:

docker run -d -p 3000:3000 ghcr.io/moroii69/healthpredictai:latest

access the application at: http://localhost:3000


contribute

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.

About

A comprehensive health management tool offering predictive insights, real-time monitoring, and secure data handling to manage chronic conditions

Resources

Stars

Watchers

Forks

Packages

 
 
 

Languages