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AI-Powered Diabetes Detection & Risk Analysis
I built an AI-powered diabetes detection web application designed to provide an accessible and easy-to-use preliminary risk assessment based on key health parameters.
The application takes relevant user inputs, processes them through a machine learning model, and presents the predicted outcome through a simple and intuitive interface.
Key highlights:
Machine learning-based diabetes risk prediction
Interactive and user-friendly web interface
Real-time prediction workflow
Data preprocessing and model integration
Clear result visualization
Responsive web experience
Tech Stack: Python, Machine Learning, Pandas, NumPy, Scikit-learn, HTML, CSS, JavaScript
The network for creativity
Join 1.25M professional creatives like you
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Really happy with how this interaction turned out. Sound effects feel super satisfying as well
The interaction feels so satisfying. The sound effects are a really nice touch. 🔥
I’ve seen a lot of posts on X about Astra’s ability to generate impressive designs from a single prompt.
TBH, I’d seen similar claims before (about other models) and then discovered that the “prompt” included a whole block of HTML, CSS, and JS 🤭
This time, though, Astra genuinely surprised me.
I already had a landing page with a defined color palette, typography, visual elements generated with Adobe Firefly. I gave Astra the landing page (.png) and just one sentence: “Generate one more section here using this text:…”
And somehow, I got 10 distinct ideas that all felt consistent with the original design - from the colours and spacing to the typography and overall visual language.
Even the new visual elements matched the texture of the ones already used on the landing page.
So far, I haven’t been able to get the same level of visual consistency from Claude.
Have you tried Astra for visual exploration?
I love the visuals!
