A video call apps to enable deaf people to communicate with normal people using sign language recognition and speech-to-text
-
Updated
Jun 15, 2024 - Dart
A video call apps to enable deaf people to communicate with normal people using sign language recognition and speech-to-text
A machine learning project created in Flutter using Firebase, Rest Api , MongoDB and Provider.
FacePass is a secure password manager that uses Face Recognition for user authentication.
A Flutter-based application designed to help users track and manage their daily water footprint.
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.
Aplicación Movil (Flutter), para la generación de reportes de residuos sólidos de construcción y demolición, cerca de su vivienda o centro de labores.
Real-time detection demo for Flutter tflite plugin
XcessCITY is an innovative mobile application meticulously crafted to foster connections among Selangor citizens while enhancing their quality of life.
An app assisting medical professionals and patients in breast cancer detection and awareness using AI. It includes self-examination tools, note-taking, reminders, and a chatbot with text-to-speech and speech-to-text.
Neural Style Transfer Application with Flask API and Flutter
MiniProject, a Flutter-based machine learning internship project, uses PoseNet for real-time posture detection. Employing the `tflite_flutter` package, it delivers instant feedback on user posture. Streamlined dependencies like `camera` and `image` enhance the app's efficiency in assessing and improving posture.
Mnist, DeepLearning, App Development
EyeSpy: Real-time Human Detection and Surveillance with Flutter and TensorFlow Lite
bird classification app
As a newcomer to the Flutter universe, I'm thrilled to unveil my latest project, the 'Bear Recognizer,' powered by TensorFlow Lite.
Add a description, image, and links to the tensorflow-lite topic page so that developers can more easily learn about it.
To associate your repository with the tensorflow-lite topic, visit your repo's landing page and select "manage topics."