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Series · Projects · 3 parts
Build a Modern Flower Classifier App with Flutter, Camera, and TensorFlow Lite
An end-to-end edge device ML classification model
About 25 min to read it all · started Feb 2026
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- 01Classification of Flowers In Mobile Phone ( PART 1)In this first part, we'll dive deep into custom image preprocessing pipelines, dataset preparation with TensorFlow, and performance optimization techniques to get your data ready for model training.7 min· Feb 7, 2026Read
- 02Classification of Flowers In Mobile Phone ( PART 2)We build, train, and fix a deep neural network that learns to tell sunflowers from daisies. Then we ship it as a .tflite file, ready for your phone.8 min· Feb 19, 2026Read
- 03Classification of Flowers In Mobile Phone ( PART 3)This guide covers everything from setting up Android Studio and real-device debugging, to implementing a modern camera-based UI, integrating on-device ML inference, and deploying your model for fast, offline predictions.10 min· Mar 15, 2026Read