π First Prize β Data Science Track
ποΈ Cornell Institute for Digital Agriculture Hackathon 2025
AvianAlert is a real-time AI system that detects poultry diseases early using sound and fecal image analysis.
AvianAlert.mp4
Each year, preventable poultry diseases cause devastating losses:
- πΈ $600M in economic damage (last quarter)
- π 20M dead chickens
- π₯ 96.4% egg price increase year-over-year
- πΎ $100M losses to American farmers
AvianAlert is an AI-driven monitoring tool built on three main components:
- Divides poultry facilities into zones
- Enables localized disease containment
- Classifies poultry vocalizations in real time
- Detects early signs of respiratory distress
- Analyzes images of chicken droppings
- Detects diseases like:
- Salmonella
- Newcastle Disease (NCD)
- Coccidiosis
- Avian Flu
- Input: Mel spectrograms of vocalizations
- Classes: Healthy / Unhealthy / Noise
- Burn Layers ensure noise resilience
Key Metrics:
- β Accuracy: 91.38%
- π¨ 100% sensitivity for unhealthy class
- Input: Chicken fecal images (160x160)
- Model: Transfer learning with EfficientNetB0
- Output: Multi-class disease prediction
Real-time web dashboard shows:
- π§ Sound-based health indicators
- π§ Zone-specific outbreak tracking
- π Risk scoring and migration alerts
- π Chicken count heatmaps
π₯ Watch Our Hackathon Pitch on YouTube
- π Lower environmental footprint
- π³ More stable egg supply
- πΌ Improved farmer livelihoods
Feature | Status |
---|---|
AI Model Training | β Completed |
Real-time Monitoring | β Supported |
Hardware Requirements | β Mic + Phone |
Deployment Potential | π Field-ready |
Metric | Value |
---|---|
Cost per Chicken | $0.08/year |
Potential Revenue | $100M |
Global Savings | $2B |
Farm Savings (US) | $500M |
- π₯ First Prize β Data Science Track
Cornell Digital Agriculture Hackathon 2025
- Ahmed Abdulla
- Farhan Mashrur
- Suresh Kamath Bola
- Kiyam Merali
Educational Use License
This project is provided for educational and non-commercial use.
Commercial use requires written permission from the authors.