AI-powered healthcare workflow automation platform built using n8n, Gemini AI, Node.js, Express.js, and webhook-driven architecture for automated patient intake, AI summarization, and notification workflows.

• AI-powered patient summary generation
• Modern responsive healthcare dashboard UI
• Gemini AI integration
• REST API architecture
• Email notification workflow
• Webhook-ready automation system
• n8n workflow orchestration
• Professional frontend design
• Real-time workflow processing

• HTML5
• CSS3
• JavaScript

• Node.js
• Express.js

• Gemini 2.5 Flash API

• n8n
• Webhooks

• Nodemailer
• Yahoo/Gmail SMTP

MediFlow-AI/
│
├── backend/
│   ├── app.js
│   ├── package.json
│   ├── routes/
│   ├── services/
│   └── .env
│
├── frontend/
│   ├── index.html
│   ├── style.css
│   └── script.js
│
└── README.md

git clone https://github.com/YOUR_USERNAME/MediFlow-AI.git

cd MediFlow-AI/backend

npm install

Create .env inside backend folder:

PORT=5001

GEMINI_API_KEY=YOUR_GEMINI_API_KEY

EMAIL=your_email@yahoo.com

PASSWORD=your_app_password

DOCTOR_EMAIL=receiver@yahoo.com

npm start

Server runs on:

http://localhost:5001

Open:

frontend/index.html

OR use Live Server in VS Code.

POST /api/patient

{
  "name": "John Doe",
  "age": "45",
  "symptoms": "Fever and headache",
  "condition": "Viral Infection"
}

Patient Form
     ↓
Frontend Request
     ↓
Express Backend API
     ↓
Gemini AI Processing
     ↓
AI Summary Generation
     ↓
Email Notification
     ↓
n8n Workflow Automation

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• Workflow Automation
• n8n
• Gemini API
• AI Integration
• REST APIs
• Webhooks
• Node.js
• Express.js
• Healthcare AI
• Event-Driven Architecture
• Automation Pipelines

• Patient database integration
• PDF report generation
• AI severity classification
• Voice-to-text intake
• MongoDB integration
• Dashboard analytics
• Authentication system
• Docker deployment

Developed by Jaswanth Saieesh

Give this repository a star on GitHub ⭐