Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
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Sep 7, 2021 - Python
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disaster-detection
Here are 11 public repositories matching this topic...
This project aims at predicting natural disasters using Machine Learning. This project was submitted as a part of Code.Fun.Do++ hackathon organised by Microsoft in 2018.
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Apr 18, 2024 - Jupyter Notebook
Climate Disaster Warning System is a deep learning-based project for detecting wildfires, floods, and sea-level rise using satellite and ground data. It leverages ResNet, Vision Transformer (ViT), and GRACE datasets to support early warning systems and climate research.
computer-vision deep-learning keras jupyter-notebook pytorch netcdf resnet satellite-data climate-science sea-level-rise geospatial-analysis disaster-detection fire-detection flood-detection early-warning-system vision-transformer
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Jun 21, 2025 - Jupyter Notebook
Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.
nlp flask machine-learning deep-learning text-classification transformers emergency social-media-analysis disaster-detection huggingface bertweet alert-system
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Apr 25, 2026
Disaster Tweets API - Production-ready BERT-based FastAPI service for classifying tweets as Disaster or Not Disaster, with Docker, CI, and cloud deployment support.
nlp api docker machine-learning tweets ci cd disaster ci-cd bert disaster-detection fastapi huggingface cloud-run tweet-classification
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Feb 27, 2026 - Python
Dual-architecture landslide detector: RISC-V VisionFive 2 (Python) + 8051 AT89S52 (Assembly) with tiered LED/buzzer alerts via BJT interface. Oscilloscope-verified 55.7 ms timing accuracy. Built at USM.
python iot assembly embedded-systems oscilloscope risc-v 8051 usm disaster-detection bjt visionfive-v2
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Mar 7, 2026 - Python
Alert Text Detector is an NLP-based model that detects alert messages from social media posts. It is built using BERTweet Base and trained on a dataset of 23,000 tweets (alert & non-alert). The model flags emergency-related messages and classifies tweets based on textual content.
nlp flask machine-learning deep-learning text-classification transformers emergency social-media-analysis disaster-detection huggingface bertweet alert-system
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Apr 20, 2026 - Jupyter Notebook
LLL-based Disaster Detector Agentic AI Application : This project enables the detection and interpretation of environmental threats (e.g., floods, infrastructure risks) by leveraging large language models (LLMs) and multimodal inputs derived from CCTV-based river surveillance feeds.
autonomous-agents situational-awareness early-warning-systems real-time-monitoring disaster-detection video-stream-processing agentic-ai multimodal-ai llm-applications reasoning-ai environmental-ai domain-specific-ai decision-support-ai environmental-threat-analysis flood-risk-detection infrastructure-risk-assessment river-surveillance cctv-analysis image-based-detection
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Jul 27, 2025 - Jupyter Notebook
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
machine-learning deep-learning fps semantic-segmentation climate-change real-time-analytics mpa environmental-monitoring encoder-decoder deep-neural-network deeplab-v3-plus disaster-detection real-time-semantic-segmentation fire-detection miou flame-dataset
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Apr 21, 2023 - Jupyter Notebook
NLPrescue is an advanced Natural Language Processing system designed to detect and classify disaster-related tweets in real-time. Built with PyTorch and modern NLP techniques, it helps emergency responders quickly identify genuine disaster situations on social media platforms.
python nlp machine-learning natural-language-processing deep-learning text-classification pytorch emergency-response social-media-analysis disaster-detection
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Feb 5, 2026 - Python
AI disaster damage detection system using OpenCV, Streamlit, and MySQL with interactive visualization and monitoring dashboard.
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Mar 7, 2026 - Python
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