OrbitIQ

OrbitIQ is an AI system that detects floods in real-time. Instead of waiting for damage reports, we analyze images instantly and give disaster teams the data they need to respond 10x faster.

Comment

Inspiration

Living in Pakistan, we see how floods destroy communities every year because the response comes too late. I wanted to build something that helps disaster teams move from reacting to predicting. With climate change making floods more frequent, realtime detection isn't a luxury anymore, it's a necessity.

What it does

OrbitIQ is an AI-powered system for real-time flood disaster detection and risk analytics.

  1. Detect: Upload any image and the AI instantly classifies if it's a flood or not with 94% accuracy
  2. Analyze: Live dashboard shows risk levels, location trends, and impact patterns using interactive charts
  3. Act: Provides disaster teams with immediate visual proof to deploy resources faster ## How we built it I built this solo in a full-stack approach: Frontend: Streamlit for a clean, fast web app interface AI Model: PyTorch + ResNet18 for image classification. Trained on flood vs non-flood satellite and ground images Analytics: Plotly for interactive risk visualization and dashboards Deployment: Hosted live on Streamlit Cloud for instant access ## Challenges we ran into
  4. Data: Finding balanced, high-quality flood datasets was tough. Had to augment and clean data for better accuracy
  5. Speed vs Accuracy: Making ResNet18 run fast on Streamlit Cloud while keeping 94% accuracy needed optimization
  6. Solo Dev: Handling UI, model training, and deployment alone within the deadline was intense

Accomplishments that we're proud of

  1. 94% Accuracy on flood detection with a lightweight ResNet18 model
  2. End-to-end working product deployed live in under 48 hours as a solo player

What we learned

  1. Practical AI: How to take a PyTorch model from training to real users via Streamlit
  2. Focus matters: You don’t need 10 features. One feature done well instant detection saves more time
  3. Building for impact: Tech is most powerful when it solves real-world problems

What's next for OrbitIQ

  1. Live Satellite Integration: Connect to realtime satellite feeds instead of manual uploads
  2. SMS/WhatsApp Alerts: Auto-notify authorities when high-risk floods are detected
  3. Multi-disaster support: Expand to wildfires, landslides, and urban flooding
  4. Mobile App: Make it accessible for field teams with low internet

Built With

Share this project:

Updates

Submission history