Urban Healthcare AI Solution

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  AetherPulse OS — AI-powered healthcare platform for smarter, faster patient care

Inspiration

Urban areas face overcrowded hospitals, delayed emergency response, and lack of real-time health insights. We wanted to build a smart system that can reduce response time and make healthcare more accessible using AI.

What it does

Aether Pulse OS is an AI-powered healthcare platform that provides instant symptom analysis, emergency SOS alerts, and nearby hospital suggestions. It helps users get quick medical guidance and connects them to healthcare services in real time.

How we built it

We built the frontend using HTML, CSS, and JavaScript for a responsive UI. The backend was developed using Node.js to handle requests and APIs. AI-based logic was used for symptom prediction, and location services were integrated to show nearby hospitals.

Challenges we ran into

We faced challenges in implementing accurate symptom prediction, handling real-time data efficiently, and integrating location-based services. Designing a smooth and fast user experience was also tricky.

Accomplishments that we're proud of

We successfully created a working prototype that can predict symptoms, trigger emergency alerts, and display nearby hospitals. The clean UI and real-time response system are key highlights.

What we learned

We learned how to integrate AI with web development, handle APIs, and build real-time features. This project improved our problem-solving skills and gave us hands-on experience in building impactful tech solutions.

What's next for Urban Healthcare AI Solution

We plan to improve AI accuracy, add wearable device integration, enable doctor consultations, and include multilingual support. We also aim to deploy it as a scalable real-world healthcare solution.

Built With

• ai/ml
• api
• apis
• css
• data
• database
• express.js
• for
• gps
• hospitals)
• html
• javascript
• localstorage
• logic)
• nearby
• node.js
• prediction
• rest
• symptom