Overview / Usage

This project is part of the Intel oneAPI Hackathon conducted in CHRIST(Deemed to be University) conducted on March 16,2023.

In this project, the pre-labeled disaster messages will be used to build a disaster response model that can categorize messages received in real time during a disaster event, so that messages can be sent to the right disaster response agency.

This project includes a web application where disaster response worker can input messages received and get classification results.

Methodology / Approach

1. First I Import Libraries
2. Understand the idea
3. Test different model and find best model outt of it
4. Train the model using Intel oneDAL to get better results and faster computation(Intel oneAPI Data Analytics Library (oneDAL))

Technologies Used

1. Python -

2. Flask

3. HTML

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Repository

https://github.com/samstyles17/Disaster-Response-ML-Project.git

Collaborators