Multimodal-Disaster-Event-Identification-from-Social-Media-Posts

🥈Silver

We have proposed a multimodal approach. Where we first took the best unimodal for textual and visual data classification by testing and automation process. Then we fusion of the two models which can successfully classify the materials that have been damaged using the image and text data. EfficientNetB3+BERT multimodal better accuracy with 94.18%

600Updated 6d ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/SalehAhmedShafin/Multimodal-Disaster-Event-Identification-from-Social-Media-Posts.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/SalehAhmedShafin/Multimodal-Disaster-Event-Identification-from-Social-Media-Posts

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Analyze the following social media posts to identify potential disaster events. The posts include both text and images. Use the multimodal approach (EfficientNetB3 for images and BERT for text) to classify the content and determine if it indicates a disaster event. Provide a confidence score for each classification. Posts: [POST1], [POST2], [POST3]

Example Output

# Disaster Event Identification Report

## Post 1
**Text**: "Just saw a huge fire near the industrial area! Smoke is everywhere. #Emergency"
**Image**: [Image of smoke and flames]
**Classification**: Fire Disaster
**Confidence Score**: 92%

## Post 2
**Text**: "Flooding in the city center. Water levels are rising fast. #Help"
**Image**: [Image of flooded streets]
**Classification**: Flood Disaster
**Confidence Score**: 88%

## Post 3
**Text**: "Just a regular day at the park. Weather is nice. #Nature"
**Image**: [Image of a park]
**Classification**: No Disaster
**Confidence Score**: 95%