All posts
Blog Series
Build a Modern Flower Classifier App with Flutter, Camera, and TensorFlow Lite
An end-to-end edge device ML classification model
3 parts~25 min total readStarted Feb 2026
Series progress
0 of 3 parts completed
0%
1
Tutorials7 min103 views
Classification 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.
Feb 7, 2026Read part 1
2
AI & Machine Learning8 min191 views
Classification 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.
Feb 19, 2026Read part 2
3
Tutorials10 min115 views
Classification 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.
Mar 15, 2026Read part 3
