An interactive 2D map-based dashboard built with Streamlit to monitor, analyze, and visualize global disasters using the GDELT dataset, MongoDB Atlas, and Google Maps API.

• Fetches global disaster events from GDELT, filters & cleans them.
• Stores records in MongoDB Atlas, including coordinates (lon, lat), category, severity, sentiment, and NLP embeddings.
• Visualizes events on a 2D Google Map, with country code and severity
• Supports semantic "vector search" to find similar events globally.
• Allows toggling between clustered vs. normal markers.
• Generates correlation matrices between countries based on disaster frequency/types.
• Enables PDF/CSV report generation for selected regions.

• Streamlit – Frontend dashboard
• Python – Data pipeline + logic
• MongoDB Atlas – Cloud storage with geospatial & Vector Search
• GDELT – Real-time disaster events source
• Google Maps API – Interactive 2D map overlays
• scikit-learn / UMAP – Topic modeling, clustering & correlation analysis
• PyPDF2 / pandas – Report generation
• pymongo – MongoDB connector

git clone https://github.com/Tanisha2212/Global-Disaster-Monitor.git cd Global-Disaster-Monitor

MONGODB_URI=your_mongodb_atlas_uri

GOOGLE_MAPS_API_KEY=your_google_maps_key