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  App Built using MELDRX

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  Patient Data

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  Sepsis Detection

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  Main Landing Page

🚑 Sepsis Detection

🔍 Inspiration

Sepsis is a life-threatening condition that requires rapid diagnosis and treatment. The idea to build this dashboard was inspired by the need for efficient and accessible tools to assist healthcare professionals in identifying sepsis risk early.

🛠️ How We Built It

• Frontend: Developed using Next.js and Tailwind CSS for a clean and responsive UI.
• Backend: Implemented API routes in TypeScript to handle data requests.
• Machine Learning: Created a sepsis prediction model using Python and Scikit-learn, saved as sepsis_model.pkl.
• Integration: Used Axios for API communication and FHIR protocol for healthcare data interoperability.

🤯 Challenges Faced

• Handling CORS issues and API errors.
• Integrating the Python model with Next.js seamlessly.
• Troubleshooting module import and type errors in TypeScript.

🎓 What We Learned

• Efficient API management in Next.js.
• Bridging Python ML models with a React-based frontend.
• Debugging and handling errors in a full-stack environment.

This project was an exciting journey into combining healthcare data standards with modern web technologies! 🚀

Built With

• aws-s3-(for-storing-model-files)-**other-tools:**-axios-for-api-calls
• axios-for-http-requests-**database:**-mongodb-(for-storing-patient-data-and-predictions)-**cloud-services:**-vercel-(for-hosting)
• express-(for-python-integration)-**machine-learning:**-python-(scikit-learn
• javascript
• numpy)-**apis:**-fhir-(fast-healthcare-interoperability-resources)
• pandas
• python-**frontend:**-next.js
• react
• tailwind-css-**backend:**-next.js-api-routes