Automated Cattle Condition Analyzer
Engineered an AI-driven pipeline to automate livestock condition scoring, emphasizing computational efficiency and system reliability (not veterinary accuracy).
- Tech: Python · YOLOv8 · OpenCV · Flask
- Reduced manual scoring effort by ~80% through automation.
- Processed images in under 1 second using optimized YOLOv8 inference.
- Supported batch uploads for multiple cattle images.
- Generated 4 geometric condition metrics per animal.
- Achieved >95% detection reliability on clear images (YOLOv8 baseline).