Calamity Control

Stay safe during disasters with our app. Real-time updates on weather, evac orders, & emergency services + emergency plans & loved ones tracking.

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Inspiration

Our inspiration for the disaster management project came from living in the Bay Area, where earthquakes and wildfires are constant threats. Last semester, we experienced a 5.1 magnitude earthquake during class, which left us feeling vulnerable and unprepared. This incident made us realize the lack of a comprehensive disaster management plan for our school and community. We decided to take action and develop a project on disaster management to better prepare ourselves for future disasters.

What it does

Our application serves as a valuable tool to help manage chaos during disasters such as earthquakes and fire. With features such as family search, location sharing, searching for family members, an AI chatbot for first aid, and the ability to donate to affected individuals and communities, our app can be a lifeline for those affected by a crisis.

How we built it

Our disaster management application was built with Flutter for the Android UI, Dialogflow for the AI chat assistant, and Firebase for the database. The image face similarity API was implemented using OpenCV in Django REST.

Challenges we ran into

We are proud of the fact that, as first-time participants in a hackathon, we were able to learn and implement a range of new technologies within a 36-hour time frame.

Accomplishments that we're proud of

  • Our disaster management application has a valuable feature that allows users to search for their family members during a crisis. By using an image similarity algorithm API (OpenCV), users can enter the name of a family member and get information about their recent location. This helps to ensure the safety of loved ones during a disaster, and can help identify people who are injured or unconscious in hospitals. The image is uploaded to Firebase, and the algorithm searches the entire database for a match. We're proud of this feature, and will continue to refine it and add new technologies to the application.

What we learned

We were not able to implement the live location sharing feature due to time constraints, but we hope to add it in the future as we believe it could be valuable in emergency situations.

What's next for -

We plan to improve our AI chatbot, implement an adaptive UI for responders, and add text alerts to the application in the future.

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