ColonyAI
AI-powered Automated Plate Count Reader for microbiology laboratories. Fine-tuned YOLOv8 object detection model achieving 94.1% mAP@0.5, 94.7% precision, and 92.5% recall across 56,124 bounding box annotations. Converts agar plate images into standardized CFU/ml reports in under 2 minutes — reducing inter-analyst variability by 92.5%. Features CLAHE preprocessing, Hough Circle plate detection, SA-001 merged colony estimation, GUM measurement uncertainty, SHA-256 chained audit trail for ISO 17025 compliance, and BPOM & SNI compliant PDF/CSV reporting. Built with FastAPI, Next.js 14, PostgreSQL, and deployed on Railway with CI/CD pipelines.