Building an app using ARCore and TFLite plugins
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Updated
Apr 22, 2021 - Dart
Building an app using ARCore and TFLite plugins
This is a cat and dog classification mobile app.
This is a simple cross platform application with flutter combined with machine learning and CNN. One can take picture or use camera roll for X-Ray input and the model in this app will help to detect it the chest X-Ray is normal/opacity. TensorFlowlite is used to fit the model into mobile. It has a learning rate of 0.0001 on epoch 50.
App para classificar imagens de animais, utilizando a API do TensorFlow Lite. (Modelo em desenvolvimento)
EyeSpy: Real-time Human Detection and Surveillance with Flutter and TensorFlow Lite
A Flutter-based application designed to help users track and manage their daily water footprint.
A repo to study Machine Learning's usage in Flutter.
Simple application to detect objects using pre-trained AI
FacePass is a secure password manager that uses Face Recognition for user authentication.
As a newcomer to the Flutter universe, I'm thrilled to unveil my latest project, the 'Bear Recognizer,' powered by TensorFlow Lite.
flutter tensorflow lite digit recognizer
Aplicación Movil (Flutter), para la generación de reportes de residuos sólidos de construcción y demolición, cerca de su vivienda o centro de labores.
Phonix is a mobile application designed to detect AI-powered voice phishing attempts in real-time. It leverages the power of TensorFlow for machine learning model creation and Firebase for user authentication and data storage.
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