This project aims to develop an AI-powered disaster management system that integrates social media data (Twitter, Facebook, Instagram, Telegram, WhatsApp) with Generative AI (GenAI) for real-time disaster monitoring and response. The system will extract, filter, and analyze disaster-related posts, geolocate affected areas, and generate automatic situation reports. The AI model will classify disaster severity and detect misinformation or fake news to improve emergency response efficiency.

General Objectives 

1. To analyze social media data for real-time disaster detection using AI. 
2. To enhance disaster response by providing automated reports and alerts to authorities. 
3. To reduce misinformation using AI-based content verification. 
4. To enable geospatial visualization of disaster events for better decision-making. 

Modules for Student 1:

Social Media Data Scraper – Extracts disaster-related posts, images, and hashtags from platforms like Twitter, Facebook, and Instagram.

Data Preprocessing & Storage – Cleans, filters, and stores relevant disaster-related data in a structured format.

Keyword & Hashtag Tracking – Monitors and updates trending disaster-related keywords and hashtags.

Real-time Data Streaming – Implements APIs to collect and update data continuously.

Basic Sentiment Analysis – Uses simple AI models to categorize posts (e.g., urgent, warning, informational).

Modules for Student 2:

Incident Classification Module – Uses AI models to classify disaster events (e.g., flood, earthquake, fire).

Misinformation Detection Module – Verifies post authenticity using existing fact-checking tools.

Disaster Alert Generation – Creates automated alerts based on severity and location of posts.

GIS-Based Visualization Module – Maps and displays real-time disaster events on an interactive dashboard.

User Interface & Report Generation – Develops a simple web interface for authorities to view data, reports, and alerts.

Expected Outcome:

A disaster monitoring dashboard that analyzes social media data, detects misinformation, and maps incidents for authorities.

Kleos Tech