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.
Managing waste in fun and easy way with AI ♻️😊🤖
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.
🦾🤖 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
ai app (text classifier, image classifier, real time object detection) using flutter and tflite packages
Animal detection with Flutter and TFLite. Animal Detector makes it possible to identify animals in 10 different categories.
This is the repository of Team Incognito - SE3. This contains all the source code to build the FireProtector applications.
This is an App to Detect Plant Diseases Using Image Classification
Pothole detection using ML model trained into a Flutter App
Deploying EfficientNet to Android platform using flutter-tflite
A sample Flutter app demonstrating the usage of Clean Architecture and Test Driven Development for building iOS & Android applications using Image Recognition and ChatGPT ! - https://one-week-apps.com/fridge-cook/
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. 🧑💻
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