There are 3 repositories under tflite-model topic.
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
Age + Gender Estimation on Android with TensorFlow Lite
stm32-speech-recognition-and-traduction is a project developed for the Advances in Operating Systems exam at the University of Milan (academic year 2020-2021). It implements a speech recognition and speech-to-text translation system using a pre-trained machine learning model running on the stm32f407vg microcontroller.
End-to-end tutorials on how to create TensorFlow Lite (TFLite) models!
Mobile application developed for detecting quality of fruits.
TensorFlow Lite Segementation example in Python
Implementing a handwritten digits recognition application on the ESP32-CAM dev board using Tensorflow Lite for Microcontrollers & PlatformIO
How to convert h5 model to tflite model
A set of tools and examples for converting and utilizing powerful vision models, DINOv3 and EdgeTAM (SAM2), within the ONNX ecosystem.
TensorFlow Lite Object Detection Python Implementation
Scripts to set up a dataset and create a simple TensorFlow Image Classifier. These scripts work best with a CUDA supported Nvidia GPU.
A Website which detects the presence of pneumonia
This is Pose Estimation project based on MoveNet architecture. It can detect the points so accurately and fast. And works for single pose estimation.
Crop Care is a Flutter app that uses a deep learning model to classify plant diseases based on images of plant leaves. Users can take a photo or select an image from their mobile device, and the app identifies the type of plant and whether it's healthy or diseased. Processed images are stored locally and can be viewed in another page.
An app that uses CNN to classify plant disease. Just scan the plant leaf or upload an image to know the disease of the plant leaf
Food calorie estimation application.
Andriod Application for detecting malignant skin cancer using an input image.
TensorFlow Lite Pose Estimation Python Implementation
FishSpeciesDetector is an Android application designed to detect and identify fish species using AI. This app allows users to capture or select an image of a fish and then uses a machine learning model to identify the species.
Detection and classification of Surface Road Damages using an Android device
Code repository for Helmet Detection for Motorcycle Ignition-Locking and Safety Warning
A TfLite Image Classification Flutter project.
Alert police and switch off ATM upon finding the emotion “fear” on user face.
DriveSense is an AI-powered driver wellness system that monitors facial cues and eye movements in real time to detect fatigue, stress, or distress. Using deep learning and computer vision, it provides non-intrusive interventions like gentle audio alerts to enhance focus, safety, and overall driver well-being.
TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords