Machine Learning for Mobile Apps using Google’s ML Kit Training Course

Introduction

• Comparison of ML Kit, TensorFlow, and Other Machine Learning Services for Government
• Overview of ML Kit Features and Components for Government Use

Getting Started

• Setting Up the ML Kit SDK for Government Applications
• Exploring APIs and Sample Apps for Government Projects

Implementing ML Kit Vision APIs for Government Use

• Automating Data Entry with Text Recognition
• Detecting Faces for Selfies and Portraits in Government Systems
• Interpreting Body Positions for Security and Health Applications
• Adding Background Effects for Enhanced User Experience in Government Services
• Integrating Barcode Scanning for Efficient Inventory Management
• Identifying Objects, Places, Species, etc., with Image Labeling
• Locating Prominent Objects in an Image with Object Detection and Tracking
• Recognizing Handwritten Texts for Document Processing

Working with Natural Language APIs for Government Use

• Identifying Languages for Multilingual Support
• Translating Texts to Enhance Communication
• Generating Smart Replies for Efficient Customer Service
• Using Entity Extraction for Data Analysis and Reporting

Optimizing Existing Apps with ML Kit for Government

• Utilizing Custom Models with the ML Kit SDK
• Migrating from Firebase to the New ML Kit SDK for Government Applications
• Transitioning from Mobile Vision to the ML Kit SDK for Enhanced Functionality
• Reducing App Size for Efficient Deployment in Government Systems
• Refactoring Apps to Use Dynamic Feature Modules for Better Performance

Troubleshooting Tips for Government Applications

Summary and Next Steps for Government Projects