Experiments with Mobile
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Updated
Nov 19, 2023 - Dart
Experiments with Mobile
AI powered plant disease detection and assistance platform currently available as an App and API.
A doctor's prescription system with handwriting recognition.
Blur image detection with Flutter and TFLite
Medical Corner is a medical application that detection of pneumonia and brain tumor. It also provides prediction for heart disease, and diabetes.
Face mask detector - Flutter application to detect face mask from image and live camera feed.
Managing waste in fun and easy way with AI ♻️
🦾🤖 Mobilenet model implementation for image classification using the tflite library, a Flutter plugin for accessing TensorFlow Lite API.
This project automates the task of waste segregation in public dustbins by classifying waste as either recyclable or non-recyclable.
Field Level Identification of Pest and Disease in Plants, using Machine Learning, .tflite Model, Flutter App
Animal detection with Flutter and TFLite. Animal Detector makes it possible to identify animals in 10 different categories.
ai app (text classifier, image classifier, real time object detection) using flutter and tflite packages
An Image Classification app built with Tensorflow Lite Model Maker on Flutter SDK
Flutter application to implement a custom model which recognizes object via image upload. 🧑💻
This is an App to Detect Plant Diseases Using Image Classification
This is the repository of Team Incognito - SE3. This contains all the source code to build the FireProtector applications.
Deploying EfficientNet to Android platform using flutter-tflite
A Cross-Platform Application using TensorFlow-Lite and Flutter to recognize labels on fruits or vegetables to get more information about their trustworthiness.
This is a Flutter Application for Dog Breed Recognition. Tensorflow lite is used for creating the ML model
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