Mappers - Real-Time Disaster Information Aggregation

📌 Project Overview

This project is a real-time disaster information aggregation system designed to automatically collect, categorize, and display disaster-related data from various sources, including social media, news portals, and open data sources. The system leverages advanced filtering algorithms and presents the processed information on a user-friendly dashboard for disaster response agencies, enhancing situational awareness and decision-making.

🚀 Features

• Real-time data aggregation from multiple sources (social media, news, open data sources).
• Advanced filtering algorithms to remove noise and irrelevant information.
• Categorization of disaster data based on type, severity, and location.
• Interactive dashboard for visualization and monitoring.
• Automated alerts for early disaster warnings.
• Scalable and efficient architecture for handling large datasets.

🛠️ Tech Stack

• Frontend: React.js (or your preferred framework)
• Backend: Node.js/Express (or another backend technology of choice)
• Database: MongoDB
• Data Processing: Python (NLP, ML models)
• APIs & Integrations: Twitter API, News APIs, Web Scraping (BeautifulSoup, Scrapy)
• Hosting: AWS/GCP

🏗️ Installation & Setup

Prerequisites

Ensure you have the following installed:

• Node.js & npm
• Python & pip
• MongoDB/PostgreSQL

Steps

1. Clone the repository:

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

2. Install dependencies:

   npm install  # For frontend and backend dependencies
   pip install -r requirements.txt  # For Python-based data processing

3. Set up environment variables: Create a .env file and configure API keys and database URLs.

   DATABASE_URL=your_database_url
   TWITTER_API_KEY=your_twitter_api_key
   

4. Run the application:

   npm start  # For frontend
   npm run server  # For backend
   python data_processor.py  # For data aggregation scripts

📊 Usage

• Open the dashboard at http://localhost:3000.
• Configure your sources and filters.
• View real-time disaster information and alerts.

🏗️ Contributing

We welcome contributions! Follow these steps to contribute:

1. Fork the repository.
2. Create a new branch.
3. Make your changes and commit them.
4. Push to your fork and submit a Pull Request.

📜 License

This project is licensed under the MIT License.

📞 Contact

For any queries or suggestions, feel free to reach out:

• Email: [email protected]
• GitHub Issues: Open an Issue

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Let's build a smarter disaster response system together! 🚀