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Production-Grade Veterinary Pathogen Classifier
🧬 ASTPredict v1.0.0 - Production Release
We are excited to present the production-ready release of ASTPredict, a robust offline mobile application designed to detect and classify 24 species of veterinary-relevant bacterial pathogens directly from agar culture plate photographs.
Built completely offline for One Health diagnostics, ASTPredict runs a high-performance YOLOv8 deep learning model entirely on-device, requiring no internet connectivity.
🌟 Key Features
- Offline Deep Learning Inference: High-precision bacteriological colony classification powered by an integrated
best_float32.tflitemodel. - Interactive Live Camera Preview: Designed with CameraX and custom petri dish alignment guide overlays to optimize photo capture angles and consistency.
- Local Persistence (Room SQLite): Safely saves plate history, diagnostic metrics, timestamps, and species counts.
- Configurable ML Thresholds: Adjust Confidence, Intersection over Union (IoU) limits, and Maximum Detection parameters on the fly under Settings.
🧬 Detectable Pathogen Species (24 Pathogens)
ASTPredict is optimized to detect major animal pathogens, assisting in fast diagnostic workflows including:
- Staphylococcus aureus (Bovine mastitis, MRSA)
- Escherichia coli (Enteric/calf scours)
- Pseudomonas aeruginosa (Opportunistic wound pathogen)
- Rhodococcus equi (Equine bronchopneumonia)
- Salmonella enterica (Zoonotic salmonellosis)
- ...and 19 other clinically significant veterinary pathotypes.
📦 Installation Guide (Sideloading)
- Download the pre-compiled
app-release.apkattached below. - Transfer it to your Android device (running Android 8.0 Oreo / API 26 or higher).
- Open the
.apkfile using any File Manager and allow the system permission to Install Unknown Apps. - Launch ASTPredict and begin analyzing plates!
Allying artificial intelligence with point-of-care veterinary diagnostics to combat Antimicrobial Resistance (AMR).