LifeLine AI is a predictive healthcare intelligence system that enables hospitals to prepare for emergency surges before they occur. Using machine learning and real-time analytics, the system forecasts patient admissions, ICU demand, and staff workload.
It functions as a centralized AI-powered command center that helps hospital administrators make proactive decisions, reduce overload situations, and improve overall patient care.
- Clone the repository:
git clone https://github.com/your-username/GFGBQ-Team-duotech.git
- Navigate to the project directory:
cd LifeLine-AI
- Install dependencies using Bun:
bun install
- Run the Next.js development server:
bun run dev
The application will be available at http://localhost:3000
- Open the dashboard to view real-time hospital intelligence
- Analyze predicted emergency admissions and ICU occupancy
- Monitor staff workload forecasts
- Receive early alerts when demand exceeds safe limits
- Framework: Next.js 15
- Language: TypeScript
- Styling: Tailwind CSS
- UI Components: Shadcn UI / Radix UI
- Runtime: Bun
- Deployment: Vercel-ready Architecture
👉 Try the live app here: https://orchids-hospital-predictive-system.vercel.app/
- AI-based prediction of emergency admissions and ICU demand
- Smart staff allocation based on forecasted workload
- Early warning alerts for hospital overload scenarios
- Scalable and secure healthcare-focused design
LifeLine AI transforms hospital operations from reactive to predictive, helping save lives through better preparedness, efficient resource usage, and improved staff well-being.
LifeLine AI — Preparedness that saves lives.