Machine Learning model optimizer and exporter for embedded systems and mobile platforms
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Updated
Feb 7, 2018 - Python
Machine Learning model optimizer and exporter for embedded systems and mobile platforms
Aplicação Android usando Kotlin e ML Kit para detecção de placas de carro em imagens
An application for vedic practitioners. Kotlin, MVP, Firebase, ML kit, Dagger2, RoomDB.
A machine learning app that uses google firebase Ml Kit to detect text on images
Built during Girls Hoo Hack Hackathon 2020. Won 1st for the Best Use of Google Cloud and won Best Overall for the entire hackathon.
A sample application showcasing the use of ML Kit features
Airborne Coast Monitoring System for Sea Turtle Detection and Species Classification
Android app that identifies and detects vendor name, tax% and total $sum from a given receipt image using Tensorflow Lite and Firebase MLKit
Kotlin, Android, ML Kit, Google Filament
Face tracking with Vision API for macOS 10.13+
Offline sentiment analysis with Tensorflow
FirebaseReference is a project being developed alongside a straightforward tutorial series, featuring step by step guides to every service in Firebase.
The application for recognizing landmark by photo, indicating the name, detailed information, photos of attractions and their location
Mobile application (Android/iOS) which captures text using the device's camera, recognizes it using Firebase ML Kit and sends it to an Bluetooth conected embedded Arduino device which converts it letter by letter to braille alphabet.
A simple mobile application built using flutter
[🏆Global Top 50] A canned drink recognition service for the blind person.
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