🏆 Hackovate LJ — Finalist
2025
ML pipeline to predict cattle milk yield and flag health/anomaly risks using sensor and historical data. Includes alerting dashboard for farmers.
Project Overview
Developed an intelligent farming solution that LEVERAGES machine learning to optimize livestock management and improve agricultural outcomes.
Technical Implementation
- Sensor data collection and preprocessing
- Feature engineering from livestock metrics
- Machine learning model development and training
- Predictive analytics for milk yield forecasting
- Anomaly detection algorithms
- Real-time monitoring dashboard
Key Features
- Predictive milk yield forecasting
- Health risk identification and alerts
- Historical data analysis and trends
- Farmer-friendly dashboard interface
- Automated alert system for anomalies
Impact & Results
- Improved livestock health monitoring
- Optimized resource allocation for farmers
- Reduced operational costs through early detection
- Enhanced decision-making capabilities
- Achieved finalist position in 36-hour hackathon