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Introducing TriageAI — an AI-Powered Emergency Triage Assistant
I recently built TriageAI, a production-focused AI application designed to help users quickly understand the urgency of an emergency situation.
Users can describe a situation through text, voice, or an image, and the system provides:
• AI-based severity classification: Critical, Urgent, or Non-Urgent
• Plain-language reasoning and first-response guidance
• Voice input and image support
• Optional vitals and medical profile context
• Multi-provider AI failover
• Offline fallback triage for poor network conditions
• SOS assistance and emergency contact alerts
• Private case timeline with PDF export
A key focus of this project was building safety and reliability into the architecture—not relying only on AI prompting.
The project uses structured AI outputs, server-side validation, provider failover, input sanitization, and offline fallback so users are never left without guidance when connectivity is poor.
🛠️ Built with: AI/LLMs, Node.js, JavaScript, Google Gemini, OpenAI, SQLite, PWA technologies.
I'm continuing to build AI-powered applications that combine practical user experiences with reliable backend systems.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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GROOOMY 🐶 Smart booking for a one-woman dog groomer
Grooomy is a booking app for Marloes, who runs a dog grooming atelier on her own. Customers book in about a minute, and the app reserves exactly the table time each dog needs.
What I built: Every groom takes a different amount of time. A Chihuahua takes an hour, a matted Bernese takes four. Marloes used to plan every appointment over WhatsApp: nine messages, two days and the occasional no-show. Grooomy fixes that:✅
✅ Customers describe their dog (size, coat, tangles), and the duration and price are calculated automatically.
✅ Only time slots where the full groom fits are shown, so there are no double bookings and no gaps too short to use.
✅ Returning customers are recognised by phone number, and new customers pay a small deposit.
✅ Customers can change or cancel with one tap.
✅ When a day is full, dogs join a waitlist, and a cancellation is offered to the next matching dog automatically.
✅ Marloes gets a dashboard with her day at a glance, the week, the waitlist, customers and every automated message.
How I built it: I started with the scenario and design research, designed the brand and every screen, then turned each screen into a precise prompt for Lovable. The app runs on Lovable Cloud with a real database for bookings, customers and the waitlist. The design process video is on the Story page.
CHECK IT OUT: https://grooomy.lovable.app
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Worked really hard on this and loved working with Lovable for the first time! Let me know what you think! 🔥
I've never made an ad like this and I'm really proud of it! It's for Cosign, an app I designed that helps users understand and manage terms and agentic permissions.
Digital consent, basically.
Every frame rendered in Blender on my M1 Max, which took a while.
Figma x Opus 5.5 x Blender
I built an interactive 3D library experience that turns browsing books into something more immersive.
From animated 3D elements and parallax movement to interactive books and smooth transitions, the goal was to make the website feel less like a page and more like a digital space you can explore.
Built with creativity, interaction, and storytelling at the center.
