CureShieldSynapse

CureShieldSynapse is an AI-powered healthcare web platform that allows patients to predict possible diseases based on symptoms and seamlessly book appointments with specialized doctors. Built with a focus on real-time dashboards, smart doctor matching, and a user-centric experience.

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Overview

CureShieldSynapse bridges the gap between intelligent diagnosis and timely medical care. Patients receive instant predictions based on symptoms and are connected with top-rated, relevant doctors. Doctors manage appointments and access patient history, while admins oversee the platform.

The platform incorporates machine learning models tailored to user roles:

• Patients use a Random Forest model for client-side, symptom-based disease prediction.
• Doctors utilize Federated Learning for privacy-preserving, collaborative diagnosis improvement across distributed data sources.

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Features

User Roles

• Patient:

  • Symptom-based disease prediction using Random Forest
  • Book appointments
  • Rate doctors
  • Chat securely

• Doctor:

  • Predict diseases using Federated Learning
  • View and manage appointments
  • Access patient information
  • Communicate securely with patients
  • Receive ratings

• Admin:

  • Manage platform users, doctors, and feedback
  • View analytics and monitor system activity

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Core Functionality

• Authentication and onboarding flow for Patients, Doctors, and Admins
• AI-based disease prediction
  • Random Forest (Patient-side)
  • Federated Learning (Doctor-side)
• Doctor appointment booking system
• Doctor ratings and specialization filtering
• Smart doctor matching based on prediction, rating, and availability
• Advanced doctor search by:
  • Experience
  • Availability
  • Languages spoken
• Secure patient-doctor chat system
• Real-time role-based dashboard
• Mobile-responsive UI with a modern design

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Tech Stack

Layer	Technology
Frontend	React.js, Tailwind CSS
Backend	Django REST Framework
Database	PostgreSQL
Authentication	JWT, Django Authentication
Charts	Recharts, Chart.js
ML Models	Random Forest, Federated Learning

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⚙️ Installation & Setup

# Clone the repository
git clone ""
cd CureShieldSynapse

# Database set up 
Create a **.env** file with the help of .env.example

# Frontend setup
cd frontend
npx update-browserslist-db@latest
npm install
npm start

# Backend setup
cd backend/backend
# Security Setup - IMPORTANT!
# Copy the example environment file and configure your settings
cp env.example .env
# Edit .env file with your actual credentials

cd ..
python -m venv env
.\env\Scripts\activate  
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver

🔐 Security Configuration

CRITICAL: Before running the application, you must configure environment variables:

1. Copy the example environment file:

   cp env.example .env

2. Edit .env file with your actual credentials:

   • Generate a new Django SECRET_KEY
   • Set your database credentials
   • Configure CORS settings for your domain
   • Add your email and API keys

3. Generate a secure Django SECRET_KEY:

   from django.core.management.utils import get_random_secret_key
   print(get_random_secret_key())

4. Production Settings:

   • Set DEBUG=False
   • Configure ALLOWED_HOSTS with your domain
   • Set CORS_ALLOW_ALL_ORIGINS=False
   • Add your frontend domain to CORS_ALLOWED_ORIGINS ======= python manage.py create_test_users python manage.py populate_diseases python manage.py populate_doctors python manage.py runserver