A comprehensive MERN stack application for predicting and monitoring forest fire risks using machine learning algorithms and real-time data analysis.

• Real-time Fire Risk Prediction - Advanced ML algorithms to predict fire probability
• Interactive Dashboard - Visualize fire risk data with charts and maps
• Alert System - Automated notifications for high-risk areas
• Historical Data Analysis - Track fire patterns and trends over time
• User Authentication - Secure login and user management
• Responsive Design - Works seamlessly across all devices

• React 18 with TypeScript
• Vite for fast development and building
• React Router for navigation
• Context API for state management
• CSS3 with modern styling

• Node.js with Express.js
• MongoDB with Mongoose ODM
• JWT for authentication
• bcryptjs for password hashing
• CORS for cross-origin requests
• Rate limiting and security middleware

• Nodemon for development
• Git for version control
• Vercel for frontend deployment

• Node.js (v18 or higher)
• MongoDB (local or MongoDB Atlas)
• Git

1. Clone the repository

   git clone https://github.com/immansha/forest-fire.git
   cd forest-fire/BlazeFix/project

2. Install frontend dependencies

   npm install

3. Install backend dependencies

   cd server
   npm install
   cd ..

4. Environment Setup

   Create a .env file in the server directory:

   MONGODB_URI=your_mongodb_connection_string
   JWT_SECRET=your_jwt_secret_key
   PORT=9999

5. Start the development servers

   Frontend (from BlazeFix/project):

   npm run dev

   Backend (from BlazeFix/project/server):

   npm run dev

export default {
 server: {
 proxy: {
 '/api': 'http://localhost:9999'
 }
 }
}

The server runs on port 9999 by default and connects to MongoDB using the connection string in your .env file.

• Frontend: Optimized with Vite for fast HMR and builds
• Backend: Implements rate limiting and efficient database queries
• Database: Indexed queries for faster data retrieval

Happy Coding! 🚀