CrisesSentinel | Devpost

Inspiration

The devastating impact of disasters worldwide inspired us to create CrisisSentinel. We wanted to harness technology's potential to provide accurate and real-time information during emergencies, empowering individuals and communities to make informed decisions and enhance disaster preparedness.

What it does

CrisisSentinel is an AI-powered disaster-awareness tool that filters real-time disaster-related tweets on Twitter. It performs sentiment analysis, verifies critical information, and presents reliable updates through an intuitive user interface. Custom alerts keep users informed, and community engagement fosters a responsible online community during crises.

How we built it

We built CrisisSentinel by leveraging cutting-edge NLP techniques and social media analytics. Our diverse team collaborated to design an intuitive web application with real-time data visualization. We integrated user feedback to ensure a seamless and user-centric experience.

Challenges we ran into

Integrating real-time data from Twitter's API and optimizing sentiment analysis posed challenges. Ensuring data privacy and building an engaged user community also required thoughtful consideration.

Accomplishments that we're proud of

We are proud of developing a functional prototype of CrisisSentinel within the limited time frame. Implementing accurate sentiment analysis and information verification was a significant achievement.

What we learned

Throughout the project, we learned the power of collaboration, user-centric design, and adapting to emerging technologies. We also understood the importance of community engagement in creating a responsible disaster-awareness platform.

What's next for CrisisSentinel

In the future, we aim to refine the platform, expand multilingual support, and collaborate with disaster response authorities. We will enhance our machine learning algorithms to ensure continuous improvement and wider global impact. Join us as we continue to make a difference with CrisisSentinel.