Remix

Make your own version of CardioSphere AI

Edit the prompt below and generate a customized version in seconds.

Original by kamaleshkamlesh v

Describe your app

I already have an existing healthcare website/web application.

I want to UPGRADE my existing website into a COMPLETE AI-Powered Heart Disease Prediction and Hospital Management System.

Do NOT create a new project from scratch.
Integrate all features into my existing project.

==================================================
PROJECT TYPE
============

AI-Based Heart Disease Prediction + Hospital Management System

==================================================
TECH STACK
==========

Frontend:

* React.js
* Tailwind CSS
* Axios
* React Router DOM
* Chart.js / Recharts
* Framer Motion

Backend:

* Spring Boot
* Java 17
* Maven
* Spring Security
* JWT Authentication
* REST API

Machine Learning:

* Python
* Flask/FastAPI
* Pandas
* NumPy
* Scikit-learn
* XGBoost

Database:

* MySQL

Authentication:

* OTP Login Authentication
* JWT Security
* Role-Based Access

Deployment:

* Frontend → Vercel
* Backend → Render/Railway
* Database → MySQL Cloud

==================================================
MAIN REQUIREMENTS
=================

1. DOCTOR AND PATIENT SEPARATE LOGIN

---

Create:

* Doctor Login
* Patient Login
* Admin Login

* Username
* Phone Number
* Gmail ID

OTP Verification:

* Send OTP to mobile number
* Send OTP to Gmail
* Verify OTP before login

Use:

* Firebase OTP Authentication OR Twilio OTP
* Gmail SMTP for email OTP

Add:

* JWT token generation
* Secure login
* Session handling
* Role-based access

==================================================
2. PATIENT REGISTRATION SYSTEM
==============================

When patient registers:
Automatically store:

* Full Name
* Age
* Gender
* Address
* Phone Number
* Email
* Blood Group
* Medical History
* Emergency Contact
* Profile Photo

Generate:

* Automatic Patient ID

==================================================
3. AI HEART DISEASE PREDICTION SYSTEM
=====================================

Create modern AI prediction module.

Prediction form should include:

* Age
* Gender
* Chest Pain Type
* Blood Pressure
* Cholesterol
* Sugar Level
* Heart Rate
* ECG Result
* Exercise Angina
* Smoking
* Alcohol
* BMI
* Oxygen Level

Machine Learning Requirements:

* Train model using heart disease dataset
* Use:

* Random Forest
  * XGBoost
* Compare accuracy
* Save best model

Return:

* Prediction result
* Risk percentage
* Confidence score
* Severity level:

* Low
  * Medium
  * High

==================================================
4. AI HEALTH RECOMMENDATIONS
============================

Based on prediction result:
Generate:

* Diet suggestions
* Exercise plans
* Lifestyle improvements
* Doctor consultation advice
* Emergency warnings

==================================================
5. EMAIL NOTIFICATION SYSTEM
============================

When prediction is completed:
Automatically send email to patient.

Email should contain:

* Patient details
* Heart disease result
* Risk percentage
* Doctor recommendations
* PDF report attachment

Use:

* Spring Boot Mail Sender
* HTML email templates

==================================================
6. PDF REPORT DOWNLOAD & PRINT
==============================

Add:

* Download PDF button
* Print report button

PDF should contain:

* Hospital logo
* Patient details
* Doctor details
* Prediction result
* Risk percentage
* Recommendations
* QR code
* Signature section
* Date and time

==================================================
7. DOCTOR DASHBOARD
===================

Doctor should be able to:

* View all patients
* Search patient records
* Filter by risk level
* View prediction history
* Add doctor notes
* Approve reports
* Download reports
* Print reports

Dashboard should show:

* Total patients
* High-risk patients
* Recovery analytics
* Charts and graphs

==================================================
8. PATIENT DASHBOARD
====================

Patient should be able to:

* View profile
* View prediction history
* Download reports
* Print reports
* Check recommendations
* Track health progress

==================================================
9. ADMIN DASHBOARD
==================

Admin should manage:

* Doctors
* Patients
* Reports
* User roles
* Analytics
* Notifications

==================================================
10. DATABASE TABLES
===================

Create/update tables:

* users
* doctors
* patients
* predictions
* reports
* otp_verification
* notifications
* appointments
* admin

Include:

* Foreign keys
* Relationships
* Constraints
* Indexing

==================================================
11. FRONTEND REQUIREMENTS
=========================

UI Design:

* Modern hospital dashboard
* Professional healthcare theme
* Responsive mobile design
* Dark/Light mode

Pages:

* Home
* Login
* OTP Verification
* Register
* Dashboard
* Prediction Form
* Prediction Result
* History
* Reports
* Doctor Dashboard
* Admin Dashboard
* Profile

Add:

* Sidebar navigation
* Navbar
* Charts
* Tables
* Animations
* Toast notifications
* Loading screens
* Error handling

==================================================
12. BACKEND REQUIREMENTS
========================

Use clean architecture:

* controller
* service
* repository
* entity
* dto
* security
* config
* exception

Add:

* JWT authentication
* OTP verification APIs
* Validation
* Exception handling
* Secure REST APIs
* Logging

==================================================
13. MACHINE LEARNING API
========================

Create ML API:

* Train model
* Predict heart disease
* Return JSON response

Example Response:
{
"prediction": "High Risk",
"riskPercentage": 87.5,
"confidence": 92.1,
"recommendations": [
"Reduce cholesterol",
"Exercise daily",
"Consult cardiologist"
]
}

==================================================
14. ADDITIONAL ADVANCED FEATURES
================================

Add:

* Real-time notifications
* AI chatbot for health suggestions
* SMS alerts
* Email alerts
* Appointment booking
* Search/filter system
* Medical history tracking

==================================================
15. DOCKER SUPPORT
==================

Generate:

* Dockerfile
* docker-compose.yml

==================================================
16. GENERATE COMPLETE FILES
===========================

Generate:

* Complete folder structure
* Frontend code
* Backend code
* ML model code
* MySQL scripts
* API integration
* README.md
* requirements.txt
* pom.xml
* application.properties
* .env examples
* Deployment guide
* API testing examples

==================================================
17. DEPLOYMENT GUIDE
====================

Explain step-by-step deployment for:

* Vercel
* Render
* Railway
* MySQL cloud database

==================================================
18. CODE QUALITY
================

Requirements:

* Production-ready code
* Clean architecture
* Fully commented
* Beginner-friendly
* Modular code
* Reusable components
* Proper validation
* Error handling everywhere

==================================================
OUTPUT FORMAT
=============

Provide:

1. Folder structure
2. Backend code
3. ML model code
4. Frontend code
5. Database scripts
6. API integration
7. Setup guide
8. Deployment guide
9. Testing guide

Generate everything completely without skipping files.

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