Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
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Updated
Sep 7, 2021 - Python
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
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.
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.
Implementation of a Deep Neural Architecture to perform real-time semantic segmentation of forest fires in aerial imagery captured by drones.
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