Pipe Counter
C 67 completed
Other
mobile_app / dart · tiny
44
Files
2,726
LOC
1
Frameworks
10
Languages
Pipeline State
completedRun ID
#1540954Phase
doneProgress
0%Started
2026-04-16 20:26:10Finished
2026-04-16 20:26:10LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
29.83Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:02Deduplication group #47532
Repobility (the analyzer behind this table) · https://repobility.com
🧪 Code Distillation
Browse all specs →AI Prompt
Create a mobile application that uses on-device AI to count the number of round and square pipes in a bundle. The project structure suggests a Flutter frontend that integrates a machine learning model. I need the setup to handle the AI training pipeline using Python, specifically training a YOLOv8 model on custom pipe images, exporting the resulting model to TFLite format, and finally integrating that TFLite model into the Flutter app for real-time, offline detection.
flutter dart mobile-app ai machine-learning yolov8 tflite python computer-vision
Generated by gemma4:latest
Catalog Information
Create a mobile application that uses on-device AI to count the number of round and square pipes in a bundle. The project structure suggests a Flutter frontend that integrates a machine learning model. I need the setup to handle the AI training pipeline using Python, specifically training a YOLOv8 model on custom pipe images, exporting the resulting model to TFLite format, and finally integrating that TFLite model into the Flutter app for real-time, offline detection.
Tags
flutter dart mobile-app ai machine-learning yolov8 tflite python computer-vision
Quality Score
C
66.9/100
Structure
50
Code Quality
88
Documentation
50
Testing
50
Practices
66
Security
100
Dependencies
90
Strengths
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
Weaknesses
- No LICENSE file — legal ambiguity for contributors
- No CI/CD configuration — manual testing and deployment
- 226 duplicate lines detected — consider DRY refactoring
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Languages
Frameworks
Flutter
Symbols
method35
class20
function5
constant3
property2
macro1
Embed Badge
Add to your README:
