This repository contains the code for a disaster detection application built with Python. The project utilizes machine learning techniques to predict whether tweets are about real disasters or not.
The application is live on Streamlit. You can access it by clicking here.
The Tweet App project is a Python programming term project developed by a team of four members: Chirag Bansal, Sahibpreet Singh, Balpreet Singh, and Suril Purohit. The main objective of the project is to build a machine learning model that accurately predicts whether a tweet is related to a real disaster or not.
We are dedicated to our mission of leveraging Artificial Intelligence and Machine Learning, along with the innovative applications of GenAI, to simplify and enhance the lives of people worldwide. With a relentless focus on creating solutions that bring ease and happiness to individuals, we are committed to pushing the boundaries of technology and advancing the field of AI. Through our unwavering dedication and hard work, we strive to make a positive impact on society and empower individuals to thrive in an increasingly complex world. Join us on our journey as we continue to innovate, inspire, and make a difference.
Meet our team members:
- Chirag Bansal
- Sahibpreet Singh
- Balpreet Singh
- Suril Purohit
You can find the source code for the Tweet App on GitHub: Tweet App GitHub Repository.
Feel free to explore the repository and contribute to the project!