Descriptions
Machine Learning use in Flutter – The Complete 2025 Guide, Welcome to Machine Learning in Flutter: The Complete 2025 Guide. Master the integration of machine learning models in your Flutter applications with the most comprehensive Google Flutter ML course available online. No prior knowledge of machine learning or computer vision is required. Whether you are a beginner or an experienced developer, this course will guide you through using and training machine learning models in Flutter (Android & iOS) applications. You will learn to integrate pre-trained TensorFlow Lite models and Firebase ML Kit, train your own models for image classification and object detection, and implement advanced computer vision features such as image segmentation, barcode scanning, pose estimation, and more. Build real-time applications that process live camera footage for tasks like text recognition, face detection, and image labeling, and create over 20 complete Flutter applications to showcase your skills.
The course covers image classification, object detection, segmentation, barcode scanning, pose estimation, text recognition, translation, face detection, smart reply, digital ink recognition, language identification, and entity extraction. Highlights include hands-on labs with key libraries like Image Picker and Camera, Firebase ML Kit integration, TensorFlow Lite models, and training custom models. This course is ideal for beginners, intermediate, and experienced developers, as well as tech enthusiasts interested in AI and ML in mobile apps. By the end, you will be able to build powerful, AI-driven Flutter applications.
What you’ll learn
- Learn to use Machine Learning and Computer Vision in Flutter apps.
- Train machine learning models on custom datasets for Flutter apps.
- Use pre-trained TensorFlow Lite models in Flutter Dart apps.
- Train custom object detection and image classification models and build smart Flutter Dart apps.
- Use computer vision models in Flutter with both images and live camera footage.
- Build a text recognition application in Flutter.
- Build a face detection and facial expression detection application in Flutter.
- Build a text translation application in Flutter.
- Develop a human pose estimation application in Flutter.
- Image labeling and image classification in Flutter.
- Perform object detection in Flutter with images and videos.
- Add smart reply suggestion models in chat-based Flutter apps.
- Extract entities or valuable information from text in Flutter.
- Create a barcode scanner app in Flutter.
- Build handwriting recognition application in Flutter (digital ink recognition).
Who this course is for
- Anyone who has taken a basic Flutter course before.
- Beginner Flutter developers curious about machine learning and computer vision in Flutter.
- Experienced professionals who want to add ML models to their Flutter applications.
- App developers who want to learn to use machine learning in their Flutter applications.
- Intermediate Flutter developers looking to enhance their skillset.
Specificatoin of Machine Learning use in Flutter – The Complete 2025 Guide
- Publisher : Udemy
- Teacher : Mobile ML Academy by Hamza Asif
- Language : English
- Level : All Levels
- Number of Course : 184
- Duration : 14 hours and 18 minutes
Content of Machine Learning use in Flutter – The Complete 2025 Guide
Requirements
- A little Knowledge of App Development in Flutter
Pictures
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Subtitle : English
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File size
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hi. please add rapidgator link.
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