Flutter Leaf Detection App using AI & TensorFlow Lite
In this video, we build a Leaf Detection App in Flutter using Artificial Intelligence.
The app identifies different types of leaves from an image and works completely offline using TensorFlow Lite.
We train a custom image classification model using Google Teachable Machine and integrate it into a Flutter application with a modern UI.
This tutorial is perfect for Flutter developers who want to learn AI / Machine Learning integration in mobile apps.
🚀 What you’ll learn in this video
How to train an image classification model using Teachable Machine
Export and use a TensorFlow Lite model in Flutter
Load and run ML models using tflite_flutter
Image preprocessing for AI models
Handling No Leaf / Not a Leaf cases
Fix common TensorFlow Lite errors (output shape mismatch, labels issue)
📁 Datasets Used
We trained our model using leaf images from:
🌿 Plant Leaves For Image Classification (Kaggle)
👉 https://www.kaggle.com/datasets/csafr...
You can download this dataset to add more classes or improve the model further.
🛠️ Tech Stack Used
Flutter
TensorFlow Lite
Google Teachable Machine
image_picker
tflite_flutte
image
🔮 Upcoming Videos
Live camera leaf detection in Flutter
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#flutter
#FlutterAI
#TensorFlowLite
#TeachableMachine
#machinelearning
#LeafDetection
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