A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

NOVA - Navigation and Orientation Visual Assistance. NOVA is an app designed to assist blind or visually impaired individuals in navigating their surroundings.

Medical Corner is a medical application that detection of pneumonia and brain tumor. It also provides prediction for heart disease, and diabetes.

This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.

Buy Now is an e-commerce app. In this app I use Machine Learning Algorithm for users can search visually. Users upload or take a photo, and this Algorithm will search for a similar product.

Submission Dicoding Indonesia - Middle Class Machine Learning Engineering (Animals Classification Project). Testing Model using AndroidApp (Kotlin Programming) & WebApp (HTML CSS & Javascript Programming)

MazeVil AI aims to create an autonomous agent, using TensorFlow Lite and YOLOv8 models (only one in game), detect objects in real-time and navigates mazes with pathfinding algorithms, ensure strategic precision in combat using otimization algorithms.

Heart disease prediction using both traditional machine learning techniques and deep learning models

Quantization of Models : Post-Training Quantization(PTQ) and Quantize Aware Training(QAT)

Wood detection is an Android project which built using Java and Kotlin programming languages. The application utilises a Tensorflow lite model to accurately detect wood from your photos. You can capture a photo directly using your camera or select an existing image from your gallery for wood detection.

This project implements gesture recognition using accelerometer and gyroscope data, leveraging TensorFlow and Keras for deep learning models. The trained model is then converted to TensorFlow Lite for deployment on edge devices.

This repo represents our machine learning project Image Description which is used to generate a description of an image based on activities and objects detected in the image.

Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol

This Flutter project uses the flutter_tflite and image_picker packages to implement an eye flu detection application.

Running Tensorflow Lite runtime in Python on Raspberry Pi Zero and Zero W

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.

I am currently developing android applications that could perform deep learning based object detection tasks. I will upload all the apps developed in the repository

This is a machine learning based app which can recognize moods of people.

Simple Object detector flutter experiment to help blind people