AI-Powered Poultry Health Platform for Disease Detection and Farm Monitoring

Measurable impact delivered through our solution
Poultry farming faces significant challenges in early disease detection and continuous health monitoring. Farmers traditionally depend on manual inspection — a slow, error-prone process that cannot scale across large flocks.
Difficulty identifying diseases early due to subtle visual symptoms
Lack of real-time, objective health tracking
Inability to deploy advanced AI models on low-power farm hardware
Minimal access to automated alerts and diagnostic insights for non-technical users
Absence of scalable infrastructure connecting farms, veterinarians, and health data
We developed CHARM, a full-stack, AI-driven poultry health monitoring platform integrating real-time computer vision, deep learning-based classification, and smart alerting to detect diseases instantly and provide actionable insights.
Detection & Tracking: YOLOv8 for real-time chicken detection and BoT-SORT for individual movement tracking
Disease Classification: ResNet50-based model trained on curated poultry disease datasets (Infectious Coryza, Fowl Cholera, Fowl Pox, etc.)
Smart Alert System: Automated rule-based engine providing health alerts and treatment recommendations
Web Platform: Django + REST API dashboard for farmers and veterinarians with visual analytics and farm-wide diagnostics
Data Pipeline: PostgreSQL for structured health logs, OpenCV & NumPy for efficient frame processing
Future-Ready Design: Support for IoT integration, voice-based interfaces, and multilingual accessibility for rural deployment
CHARM delivers measurable impact in agricultural efficiency, disease prevention, and food security by transforming traditional poultry management into a data-driven, automated health ecosystem.
Let's discuss how we can deliver similar results for your organization. Our team is ready to tackle your most complex challenges.