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/csafrit2/plant-leaves-for-image-classification 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 ▶ If you enjoyed this video, please support me by: 👍 Liking the video 🔁 Sharing with your friends ✅ Subscribing to the channel 💬 Commenting your thoughts below ✨ Have a Nice Day & Thanks for Watching! ✨ #flutter #FlutterAI #TensorFlowLite #TeachableMachine #machinelearning #LeafDetection #flutterdevelopment #aiapps #mobileappdevelopment