Overview
Use an on-device image segmentation model in Flutter with no internet or paid APIs, Build a full-featured Flutter app that removes and replaces image backgrounds, Understand how image segmentation works and its real-world applications, Apply transparent and custom backgrounds to segmented images, Save the transparent or edited images to the device gallery, Add smooth animations when removing image backgrounds, Implement sharing features to send edited images directly from the app, Build a complete AI-powered mobile app in Flutter from scratch
Anyone who wants to build an AI-powered background remover app without relying on paid APIs or cloud services, Beginners in Flutter who are ready to take their skills to the next level with real-world projects, Flutter developers who want to integrate AI and machine learning features into their apps, Students and tech enthusiasts curious about ML in mobile development, Developers interested in building offline-capable AI apps in Flutter, Mobile app developers looking to explore on-device image segmentation
A Windows, macOS, or Linux system for development
Are you ready to build a smart, real-world Flutter app powered by on-device AI?
In this course, you’ll learn step-by-step how to build a fully functional background remover and editor app using Image Segmentation in Flutter — no paid APIs, no server processing, just pure offline ML magic!
You’ll integrate a Image Segmentation models that can understand every pixel of an image — separating the subject from the background with incredible accuracy. From there, you’ll build stunning features like:
Making the image background transparent
Replacing the background with beautiful presets (beach, city, gradients, etc.)
Adding animated transitions and effects
Saving and sharing edited images — all within your Flutter app
What You’ll Build
A complete AI-powered mobile app that:
Let's users select or capture a photo
Automatically removes the background using an ML model
Offers multiple background replacement options
Allows saving or sharing the final result
Works completely offline — fast and private!
Key Concepts Covered
Image Segmentation in Flutter using TFLite
Custom image editing UI in Flutter
Capturing and picking images from gallery/camera
Pixel-level background removal
Dynamic background replacement
Smooth animations for UI interactions
Saving and sharing files on device
Offline AI with no internet dependency
Who This Course Is For
Flutter developers eager to integrate real-world machine learning
Beginners looking to expand into AI-powered mobile development
Mobile app creators building tools like photo editors, social media filters, or AR features
Anyone excited about combining Flutter and on-device AI to build smart, creative apps
Technologies Used
Flutter & Dart
TensorFlow Lite (TFLite) for image segmentation
Camera & Image Picker plugins
Animations and state management
File saving & sharing in Flutter
By the End of This Course, You’ll Be Able To:
Implement image segmentation using TFLite in Flutter
Build smart, offline-capable image editing features
Replace and blend backgrounds with dynamic content
Deliver polished user experiences with animations and sharing options
Create production-ready ML features inside a mobile app
Whether you're a beginner in Flutter or an experienced developer exploring AI and image processing, this course is your gateway to building creative, intelligent apps.
Let’s dive in and start building your AI-powered background remover app — completely from scratch!
Mobile ML Academy by Hamza Asif
Hi, I'm Hamza Asif.
I am passionate about teaching people the use of Machine Learning and AI in Android, IOS, and Flutter Applications. I have taught over 55,000 students in 170 countries worldwide.
I have extensive experience in Mobile App Development & Data Science.
My goal is to make you a great developer who can build ML & AI-powered NextGen applications.
If you are interested in Flutter App Development, I offer the following NextGen Flutter courses
Face Recognition and Detection in Flutter - The 2024 Guide
Machine Learning for Flutter - The Complete Flutter ML Guide
Build A Gallery App in Flutter With Circle To Search Feature
Train Object Detection & Image Classify models for Flutter
ChatGPT & Flutter -Build AI based Smart Apps in Flutter
Flutter & ML : Train Tensorflow Lite models for Flutter Apps
If you are interested in Android App Development using Java & Kotlin, I offer the following NextGen Android Courses
Face Recognition and Detection in Android- The 2024 Guide
Android & ML: Train Tensorflow Lite models for Android Apps
Train & Use Custom Object Detection Models in Android
ChatGPT & Android: Build Chatbots & Assistants
Machine Learning use in Android the Complete Guide
If you are interested in IOS App Development using Swift & SwiftUI, I offer the following NextGen IOS Course
IOS & ML: Train Tensorflow Lite models for IOS SwiftUI Apps
If you are interested in React Native App Development, I offer the following NextGen React Native Course
ChatGPT & React Native - Build Chatbots for Android & IOS
Machine Learning use in React Native - The Practical Guide
I look forward to seeing you in my courses.