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flutter-android-ml-models

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Integrate ML models into Flutter apps

Software Engineering#performance#machine learning#android#flutter#model optimization#tflite#ui jank
Authornonputtipong
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill addresses the challenges of integrating Machine Learning models into Flutter applications on Android, specifically focusing on rapid model loading and smooth UI performance during inference.

Core Features & Use Cases

  • Model Integration: Connects .tflite, .pth, and .onnx models to Flutter Android apps.
  • Performance Optimization: Ensures models load under 8 seconds and prevents UI jank during ML tasks.
  • Use Case: Integrate a real-time object detection model into a Flutter app for live camera feeds, ensuring the app remains responsive and the model initializes quickly.

Quick Start

Configure your android/app/build.gradle file to prevent compression of your ML model files.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: flutter-android-ml-models
Download link: https://github.com/nonputtipong/Oryn/archive/main.zip#flutter-android-ml-models

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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