Inspiration

Access to healthcare information is often difficult for many patients, especially when medical reports are complex and hard to understand. Many patients receive lab reports but cannot easily interpret the results or know whether they should seek medical attention. This inspired us to build NovaCare AI, a system that helps patients understand their health reports using artificial intelligence

What it does

Access to healthcare information is often difficult for many patients, especially when medical reports are complex and hard to understand. Many patients receive lab reports but cannot easily interpret the results or know whether they should seek medical attention. This inspired us to build NovaCare AI, a system that helps patients understand their health reports using artificial intelligence

How we built it

NovaCare AI is an intelligent health assistant that analyzes patient health reports and provides simple insights. Users can input their medical details or upload report values, and the system analyzes the information to determine possible health risks and provide recommendations. The platform also generates a summarized health report that can be shared with hospitals for better communication between patients and healthcare providers. The system includes:

A user-friendly web interface for entering patient health information

AI-based analysis logic to evaluate medical report values

Automated health risk assessment and recommendations

A feature to generate a report that can be shared with healthcare providers

The project code and implementation are hosted on GitHub.

Challenges we ran into

One of the main challenges was designing a system that could interpret health data in a meaningful way while keeping the interface simple for users. Another challenge was integrating the analysis logic into a smooth workflow so that users could easily input data and receive results instantly.

Accomplishments that we're proud of

Successfully built NovaCare – AI Health Record Assistant, a working AI-powered healthcare prototype.

Developed an interactive web application using Streamlit for easy medical report analysis.

Implemented automated detection of health conditions from patient reports and generated AI-based summaries.

Created a health dashboard that highlights possible risks such as fever or diabetes.

Built a simple AI chatbot to answer user questions about medical reports.

Enabled a feature that allows users to share their medical reports digitally with hospitals.

Successfully deployed and shared the project code through GitHub.

What we learned

Through this project we learned:

How to build AI-based healthcare tools

How to develop interactive web applications using Streamlit

How to design user-friendly interfaces for real-world problems

The importance of making healthcare technology accessible to everyone

What's next for NovaCare – AI Health Record Assistant

Through this project we learned:

How to build AI-based healthcare tools

How to develop interactive web applications using Streamlit

How to design user-friendly interfaces for real-world problems

The importance of making healthcare technology accessible to everyone "Built for the Amazon Nova AI Hackathon using AI-driven healthcare insights.”

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