Flutter & ML – Train TensorFlow Lite Models & Build AI Apps

Train image classification, object detection & regression models in Python, convert to TensorFlow Lite & use in Flutter

Build AI-Powered Mobile Apps with Flutter & TensorFlow Lite
Do you want to train custom Machine Learning models and bring them to life in real Android & iOS apps? This course takes you from zero to building smart, predictive, and vision-powered Flutter apps — all using TensorFlow Lite.

What You’ll Learn

• Train Image Classification, Object Detection, and Regression models in Python from scratch.

• Convert trained models to TensorFlow Lite for mobile use.

• Integrate ML models into Flutter apps for Android & iOS.

• Use ML Kit for object detection in real-time camera feeds.

• Build real projects like:

  • House Price Prediction

  • Fuel Efficiency Estimator

  • Custom Image Classification App

  • Object Detection App with live camera feed

Course Outline

1. ML & AI Basics – Learn core concepts, neural networks, and deep learning.

2. Data Preparation – Use NumPy, Pandas, and Matplotlib for dataset handling.

3. Model Training – Train regression and vision models with TensorFlow.

4. TensorFlow Lite Conversion – Make your models mobile-ready.

5. Flutter Integration – Load and use models in Android & iOS apps.

6. Real Projects – Step-by-step guided apps for real-world use cases.

Who Is This For?

• Flutter developers who want to integrate AI into their apps.

• Beginners in ML who want practical, mobile-focused projects.

• Developers aiming to expand their portfolio with AI-driven apps.

By the end of this course, you’ll be able to train, convert, and deploy your own ML models into beautiful Flutter apps — ready for the Play Store or App Store.