To provide security to smart phones by constantly monitoring whose in front of device and if a non recognised person is present then it shuts the screen off.
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Updated
Nov 24, 2019 - Java
To provide security to smart phones by constantly monitoring whose in front of device and if a non recognised person is present then it shuts the screen off.
A reusable plugin to support TFLite models in Unity
deploy of Handwritten digits classification model on Android
Application to help blind or visually impaired people know about battery condition, make calls, messages. or know about surrounding objects.
Project mobile application - Integrating Tensorflow model into mobile app.
Detect coronavirus in an automated way in x-ray images using COVID19KIT
Android application for Indian license plate recognition using deep learning (Tensorflow) and OpenCV, and extraction of vehicle details from the Vahan website.
Andriod app integrating tflite model for object detection
Tflite implementation on java android
First Tech Challenge 2022-2023 (SBW3)
ML Bugs Classifier is an android app published on Google Playstore which uses Tensorflow Lite (.tflite) model to classify insect insect images as per their scientific names. This is meant as a demonstration for model deployment
Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol
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.
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