ResQintel

ResQintel: An AI-powered disaster app built for Filipinos detect fires, track typhoons, get real-time alerts, and stay prepared anytime, anywhere. Ready for anything, wherever you are.

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✅ Inspiration

The Philippines is one of the most disaster-prone countries in the world, facing frequent typhoons, earthquakes, fires, and floods. However, most people—especially those in rural or underserved communities—lack access to real-time, localized alerts or safety guidance. This inspired us to build ResQintel, an AI-powered app designed to keep Filipinos informed, prepared, and safe before, during, and after disasters.

🚀 What it does

ResQintel is a mobile application that:

  • Detects fires using AI-powered image recognition.
  • Tracks typhoons and displays real-time affected areas using geolocation.
  • Offers earthquake preparedness guides and post-disaster checklists.
  • Sends automated, localized emergency alerts and notifications.
  • Provides multi-language support for inclusivity.
  • Equips users with age-appropriate educational disaster modules.

🛠️ How we built it

  • Frontend: Built using Flutter for seamless cross-platform mobile performance.
  • Backend: Leveraged Firebase for authentication, real-time database, and cloud storage.
  • AI Integration: Utilized TensorFlow and YOLOv11 for fire detection from image data.
  • Data Sources: Pulled datasets from Kaggle and integrated APIs like Google Maps API, Text Recognition, and Gemini/Gemma.
  • Cloud Infrastructure: Hosted and scaled using Google Cloud Platform.

🧩 Challenges we ran into

  • Training the fire detection model with high accuracy using limited datasets.
  • Sourcing clean, diverse, and localized disaster-related datasets relevant to the Philippines.
  • Designing an intuitive UI for both tech-savvy and non-tech-savvy users.
  • Ensuring reliable real-time alerting even in poor internet conditions.

🏆 Accomplishments that we're proud of

  • Successfully implemented AI-powered fire detection with promising accuracy during tests.
  • Created a working prototype that integrates real-time typhoon tracking and alert delivery.
  • Built a multilingual interface to serve diverse Filipino communities.
  • Formulated a modular education system with tailored content for different age groups.

📚 What we learned

  • How to train and integrate YOLOv11 models into a mobile app using Flutter.
  • The importance of user-centric design, especially in emergency apps.
  • How real-time data and AI can save lives with the right integration.
  • Collaboration and agile planning greatly enhanced our team productivity.

🔮 What's next for ResQintel

  • Partner with local agencies (e.g., NDRRMC, LGUs) to link alerts with official sources.
  • Add offline support for areas with poor connectivity.
  • Expand AI capabilities to detect flooding or structural damage.
  • Launch public beta testing to gather feedback and improve usability.
  • Add chatbot functionality for guided disaster assistance using Gemini.

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