DisastPrep

Inspiration

Our project was inspired by the shared experiences of two of our team members, Abdul and Sakib, both from Bangladesh, a country frequently ravaged by floods and earthquakes. These natural disasters cause heartbreaking loss of life and property, yet many in these areas remain unprepared, often lacking knowledge on what supplies are truly needed to survive beyond food and water. This gap in preparedness led us to create a tool that helps users evaluate their readiness for disaster. By offering a personalized preparedness score based on their location, our tool not only highlights essential supplies but also suggests additional resources for a well-rounded disaster plan. Ultimately, we aim to empower individuals to take proactive measures, giving them the knowledge and tools to be ready before disaster strikes, potentially saving lives in the process.

What it does

DisastPrep is an AI-powered tool that evaluates your disaster preparedness based on the supplies you have and the risk level of your location. It calculates a personalized preparedness score and provides tailored recommendations to improve your readiness for potential

How we built it

We used Flask (Python) for the backend and HTML, CSS, and JavaScript for the frontend. • Google Maps API to get the user’s location and show it on a map. • Google Translate API to translate the AI feedback into different languages. • Gemini AI API to analyze user preparedness and give recommendations.

Challenges we ran into

One of our biggest challenges was our lack of end-to-end project development experience, which made the process more difficult. Since we had never built a complete project from start to finish, we had to rely heavily on research and documentation to guide us. This required extensive searching and learning along the way, which was time-consuming. Additionally, with a limited timeframe, balancing development and acquiring the necessary knowledge was a challenge, making the process even more demanding.

Accomplishments that we're proud of

We are proud because this tool has the potential to help countless people if implemented properly with minimal training. It uses AI to assess disaster preparedness by analyzing supplies and location risk, providing a personalized score and practical recommendations. With multilingual support, it ensures accessibility for diverse communities. By offering simple yet effective guidance, it empowers individuals to take action before disaster strikes. Most of all, we are proud to have built this entire project in just 24 hours, proving our ability to create a powerful and easy-to-use solution that can make a real difference.

What we learned

Throughout this project, we gained valuable experience in end-to-end development, problem-solving, and working with real-world constraints. We learned how to conduct thorough research, navigate technical challenges, and utilize available resources efficiently. Additionally, we improved our teamwork and adaptability, which were crucial in overcoming obstacles within a limited timeframe.

What's next for DisastCheck

Moving forward, we plan to integrate real-time environmental and weather data from local weather stations to provide users with up-to-date information and better preparedness recommendations. Currently, DisastPrep supports eight languages, but with the Google Translator API, we aim to expand this to 150+ languages, making it accessible to a global audience. Additionally, we want to refine our user interface, optimize response times, and collaborate with disaster relief organizations to provide more resources. Future enhancements may also include AI-driven risk assessment, integration with emergency alert systems, offline accessibility, and user authentication for security, ensuring users’ data and preparedness plans remain private and protected.