AarogyaNex
π The name reflects our mission to build next-gen healthcare for Bharat.
Rural populations lack timely access to quality healthcare due to:
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Absence of 24x7 medical guidance
π Villagers struggle to get urgent health advice, especially at night. -
Inability to understand complex health reports
π Most patients canβt read or interpret medical documents. -
Lack of immediate emergency response systems
π No quick way to alert hospitals or call an ambulance. -
Difficulty in scheduling appointments
π People must travel far to book or attend doctor visits. -
Language barriers in medical communication
π English-only systems create accessibility gaps in rural India.
AarogyaNex is a unified Multilingual AI-powered Health Assistant that empowers rural patients by combining:
- Real-time symptom analysis
- Emergency alerting
- Medical report explanation
- Doctor connectivity
All in regional languages with voice/text support.
π A one-stop digital health buddy for rural India.
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π£οΈ Multilingual AI Chatbot
24x7 health advice in regional languages via voice/text
π Understands symptoms, remedies, and health tips easily. -
π§Ύ Blood Report Analyzer
Upload PDF reports and get simplified summaries
π Uses OCR + NLP to explain medical terms in plain language. -
𨻠X-Ray Analyzer
AI-based image analysis with readable feedback
π Understand radiology results without a doctor. -
π Emergency GPS Alert System
Sends real-time location to hospitals, alerts ambulances
π Enables faster help during critical health emergencies. -
π Doctor Appointment Booking
Book virtual or in-person appointments easily
π Reduces travel and increases access to doctors.
- AI + NLP + Computer Vision to simplify healthcare in native languages
- Telemedicine support without expensive devices
- OCR + ML to decode health reports and X-rays
- Real-time GPS alerts for emergencies
- Offline-first design to fit rural infrastructure
π€ USER INTERFACE
(Mobile App / Web App)
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β π Multilingual AI Health Chatbot β
β - Symptom Analysis β
β - First-Aid Suggestions β
β - Home Remedies β
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π Provides 24x7 multilingual guidance for common health issues.
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β π§Ύ Health Report Analyzer β
β - OCR & NLP on Blood Reports β
β - Simple Term Explanation β
β - Healthy Tips Generation β
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π Extracts and simplifies blood report content into understandable language.
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β π©» X-Ray Report Analyzer β
β - ML Model Prediction β
β - Human-Friendly Explanation β
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π Uses AI to interpret X-ray images and give clear feedback to patients.
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β π Emergency Alert System β
β - One-tap GPS Send β
β - Nearest Hospital Alert β
β - Ambulance Dispatch via Twilio β
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π Instantly sends location to hospitals and calls an ambulance in emergencies.
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β π
Online Appointment Scheduler β
β - Nearby Doctor Availability β
β - Easy Remote Booking β
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π Lets users book consultations with doctors without traveling far.
| Area | Technology Stack | Description |
|---|---|---|
| Frontend | React.js, Tailwind CSS, HTML5, JavaScript | UI and user input handling |
| Backend | Node.js, Firebase Auth, JWT | API endpoints, auth, session management |
| AI | Python, TensorFlow, OpenCV | Model training and prediction |
| Chatbot | OpenAI API, custom symptom logic | AI-powered health dialogue engine |
| APIs & Services | Google Maps API , Firebase FCM | GPS, alerts, notifications |
| Report Parsing | Tesseract OCR, Flask | Blood report text/image analysis |
| Deployment | Firebase, Render.com, Cloud Storage | Hosting and storage |
- Node.js β for running the frontend
- Python 3.x β for Flask backend
- npm or yarn β for dependency management
- Git β for cloning the repository
git clone https://github.com/AGTechathon/ArogyaNex.git
cd ArogyaNex/frontend
npm install
npm startπ Runs the frontend on http://localhost:3000
cd ../backend
pip install -r requirements.txt
python app.pyπ Starts Flask-based backend for OCR + report analysis
π Ensure environment variables and Firebase credentials are configured.
| Name | Role | Skills |
|---|---|---|
| Archana Shegur | Full Stack + AI Developer | React, Flask, TensorFlow, OCR |
| Shrishail Bidave | Backend/API Integrator | Node.js, Express.js, Firebase |
| Pallavi Patil | UI/UX Designer | Figma, Tailwind, Accessibility |
| Rutuja Jetagi | ML Model & Integration Lead | Python, OpenCV, NLP, Symptom Logic |
π Each team member contributed to turning the idea into a reality.
Empowering every village with intelligent, accessible, and reliable healthcare β
thatβs the AarogyaNex vision.








