SwasthyaNet - A Telemedicine Web Application

SwasthyaNet is a modern, full-featured telemedicine web application designed to bridge the gap between patients and doctors. It provides a seamless, secure, and intelligent platform for online consultations, appointment booking, and preliminary symptom analysis.

Key Features

• User Authentication: Secure sign-up and sign-in for patients and doctors using Firebase Authentication.
• AI-Powered Symptom Checker: A Genkit-powered chatbot that provides preliminary analysis based on user-described symptoms.
• Find a Doctor: A smart search feature for patients to find and get recommendations for doctors based on specialization or name.
• Appointment Booking: Patients can easily book appointments with their chosen doctors.
• Real-time Video Consultations: Secure, peer-to-peer video call functionality using WebRTC for consultations.
• Patient and Doctor Dashboards: Separate, tailored dashboards for patients and doctors to manage their activities.
• Electronic Health Records (EHR): Doctors can view patient profiles and their appointment history.
• Responsive Design: A mobile-first design that ensures a great user experience on all devices.

Tech Stack

• Framework: Next.js (App Router)
• Language: TypeScript
• Styling: Tailwind CSS
• UI Components: ShadCN UI
• AI/Generative AI: Genkit
• Backend & Database: Firebase
  • Authentication: Firebase Authentication
  • Database: Firestore
• Icons: Lucide React
• Forms: React Hook Form & Zod

Getting Started

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Node.js (v18 or later recommended)
• npm or yarn

Installation

1. Clone the repository:

   git clone https://github.com/your-username/swasthyanet.git
   cd swasthyanet

2. Install dependencies:

   npm install

Environment Variables

This project uses Firebase for its backend services. To run the application, you'll need to create a .env file in the root of the project and add your Firebase project credentials.

Create a new Firebase project in the Firebase Console. Then, find your project's configuration and service account keys to populate the .env file.

# Firebase Public Config (for client-side)
NEXT_PUBLIC_FIREBASE_PROJECT_ID="your-firebase-project-id"
NEXT_PUBLIC_FIREBASE_API_KEY="your-web-api-key"

# Firebase Admin Config (for server-side)
# Create a service account in Firebase Project Settings and get these values
FIREBASE_CLIENT_EMAIL="your-service-account-email"
FIREBASE_PRIVATE_KEY="your-service-account-private-key"

Running the Development Server

Once the dependencies are installed and the environment variables are set, you can run the development server:

npm run dev

The application will be available at http://localhost:9002.

The Genkit flows can be run in a separate terminal for local development and testing:

npm run genkit:dev

This will start the Genkit development server, allowing you to interact with your AI flows.