GeoSentinel: Real-Time Conflict Surveillance System 🗺️

Overview

GeoSentinel is a real-time conflict surveillance and crisis analysis platform that provides actionable insights into global conflict zones. By integrating data from sources like the ACLED conflict event database , GeoSentinel offers a comprehensive view of ongoing crises. The project automates data collection, classification, and visualization, aiming to assist decision-makers in understanding and responding to conflict scenarios effectively.

Key Features

1. Interactive Heatmap

• Visualizes global conflict hotspots using Leaflet.js.
• Displays real-time data on military movements, war conflicts, and civilian gatherings.
• Provides interactive navigation and zoom capabilities for detailed region analysis.

2. Monthly Tracker

• Summarizes conflict data for the current month, showcasing:
  • Total Number of Conflicts
  • Crisis Index: A ranking of countries based on conflict intensity.
• Offers insights into emerging crisis zones by analyzing recent conflict trends.

3. Country Ranking System

• Ranks countries based on the Crisis Index, reflecting the severity of conflict events.
• Highlights high-risk areas, aiding in quick decision-making and prioritization.

4. Civilian Gatherings Analysis

• Categorizes civilian gatherings into different types (e.g., protests, rallies).
• Provides a detailed analysis of gatherings to identify potential areas of unrest.
• Users can filter events based on type, helping to understand the social dynamics of specific regions.

5. Automated Data Collection and Processing

• Integrates with the ACLED API for real-time conflict data fetching.
• Features an automated ETL (Extract, Transform, Load) pipeline for data preprocessing and cleaning.

Technology Stack

Frontend

• ReactJS: For building a dynamic, responsive user interface.
• Tailwind CSS: For efficient, utility-first styling.
• Leaflet.js: For interactive map visualization.

Backend

• Flask: For API handling, data processing, and serving the frontend.
• Python: For data processing, feature extraction, and ML model integration.

Database

• SQLite: Lightweight database for storing preprocessed data and ML model outputs.

Machine Learning

• Convolutional Neural Networks (CNN) for conflict event classification.

Installation and Setup

Prerequisites

• Node.js and npm
• Python 3.8+
• Flask
• SQLite

Clone the Repository

git clone https://github.com/TanishaJauhari/GeoSentinel.git
cd GeoSentinel/webapp