Sickle cell lite

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  Demo of sicle cell lite

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💡 Inspiration Sickle cell patients often live in uncertainty, unaware of when a health crisis might strike. We've witnessed loved ones go from smiling to suffering in moments, unsure of what steps to take. This inspired us to build a simple, rule-based logic system that empowers sickle cell warriors with real-time insights into their health status—helping them take control before a crisis occurs.

⚙️ What It Does Our tool collects vital signs from the patient—such as temperature, heart rate, and oxygen levels—and uses a basic rule-based algorithm to predict the likelihood of an impending sickle cell crisis. It then provides alerts and guidance to help patients respond proactively.

🛠️ How We Built It We developed the system using Python and HTML, focusing on foundational programming concepts like if, elif, and else statements. As beginner developers, our goal was not only to build a functional tool but also to reinforce our understanding of basic logic and flow control.

🚧 Challenges We Ran Into Designing a user-friendly interface was more difficult than expected. We had to seek help to make the UX intuitive and accessible, especially for patients who may not be tech-savvy. Balancing simplicity with functionality was a key challenge.

🏆 Accomplishments We're Proud Of We're proud that we turned an abstract idea into a working prototype—one that could potentially save lives. This project represents more than code; it's a step toward empowering a community that often feels overlooked.

📚 What We Learned We realized we need to deepen our understanding of UX design to make tools more usable.

We learned that logic isn't just about syntax—it's about thinking clearly and empathetically.

Most importantly, we learned that starting small is still starting. Showing up and building something, no matter how simple, is always worth it.

🚀 What's Next for Untitled Data Expansion: We plan to integrate more health metrics and refine the logic for better accuracy.

Mobile Optimization: Making the tool accessible on mobile devices for real-time monitoring.

Community Feedback: We want to collaborate with sickle cell patients and healthcare professionals to improve the tool’s relevance and usability.

AI Integration: Eventually, we hope to evolve from rule-based logic to machine learning for smarter predictions.

Built With

• html
• python