This document discusses using Flutter and ML Kit to build mobile apps with machine learning capabilities. It provides an overview of Flutter and ML Kit, then demonstrates how to build a sample app with Flutter that uses the camera and ML Kit's vision API for tasks like face detection and text recognition. The sample app code is explained step-by-step, covering initializing the camera, detecting images, drawing the results on the canvas, and providing a demo of the working app.
Building an Android app with Jetpack Compose and FirebaseMarina Coelho
This presentation covers how to build an Android app with Jetpack Compose and Firebase products, using a real To-do application as an example. The topics are:
- Quick overview of what Compose and Firebase are;
- Setting up MVVM architecture in a Compose application;
- Handling async methods provided by Firebase in a Compose application;
- Using Firebase Authentication to manage users;
- Using Firestore to store data remotely.
Building an Android app with Jetpack Compose and FirebaseMarina Coelho
This presentation covers how to build an Android app with Jetpack Compose and Firebase products, using a real To-do application as an example. The topics are:
- Quick overview of what Compose and Firebase are;
- Setting up MVVM architecture in a Compose application;
- Handling async methods provided by Firebase in a Compose application;
- Using Firebase Authentication to manage users;
- Using Firestore to store data remotely.
BlackBerry10 apps with Adobe AIR & Apache Flex - BlackBerry JAM EuropeMariano Carrizo
Slides from my session JAM364 at BlackBerry JAM Europe. February 5th 2013, Amsterdam.
Session's video recording available at YouTube:
http://www.youtube.com/watch?v=CFIXdXZpFaU
Non Conventional Android Programming Enguest9bcef2f
Learn as you can developing software for mobile devices using only html, css and javascript and how you can use Spring Framework in software for mobile devices
Non Conventional Android Programming (English)Davide Cerbo
Learn as you can developing software for mobile devices using only html, css and javascript and how you can use Spring Framework in software for mobile devices
Lecture 4 from the COSC 426 graduate class on Augmented Reality. Taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury. August 1st 2012
In this event we will walk you through best practices and the practical Implementation of the following topics:
Advantage of Kotlin over Java, Kotlin Coroutines .
What’s new in Android Studio, How to use Motion Layout Editor
NaviGation Architecture component, Vivewmodel, Livedata, Room database, Jetpack Compose,
Material Design Library...etc
App Distribution - Android App bundle over an APK
BlackBerry10 apps with Adobe AIR & Apache Flex - BlackBerry JAM EuropeMariano Carrizo
Slides from my session JAM364 at BlackBerry JAM Europe. February 5th 2013, Amsterdam.
Session's video recording available at YouTube:
http://www.youtube.com/watch?v=CFIXdXZpFaU
Non Conventional Android Programming Enguest9bcef2f
Learn as you can developing software for mobile devices using only html, css and javascript and how you can use Spring Framework in software for mobile devices
Non Conventional Android Programming (English)Davide Cerbo
Learn as you can developing software for mobile devices using only html, css and javascript and how you can use Spring Framework in software for mobile devices
Lecture 4 from the COSC 426 graduate class on Augmented Reality. Taught by Mark Billinghurst from the HIT Lab NZ at the University of Canterbury. August 1st 2012
In this event we will walk you through best practices and the practical Implementation of the following topics:
Advantage of Kotlin over Java, Kotlin Coroutines .
What’s new in Android Studio, How to use Motion Layout Editor
NaviGation Architecture component, Vivewmodel, Livedata, Room database, Jetpack Compose,
Material Design Library...etc
App Distribution - Android App bundle over an APK
17. Do You Know…?
Open CV
Object Detection
RNN
CNN
Face Detection
NLP
GAN
그거 인공지능으로 하면 되지않나요?
다른데도 다 하던데…
18.
19.
20. • Text Recognition - OCR
• Face Detection
• Barcode Scan
• Label Images (Cloud)
• Landmark Detection (Cloud)
Vision
• Identify the language of text (Cloud)
• Generate SmaC replies (Cloud)
Natural Language
• Use Custom Model
• Use custom TensorFlow Lite Build
Custom Model
21.
22. • Text Recognition - OCR
• Face Detection
• Barcode Scan
• Label Images (Cloud)
• Landmark Detection (Cloud)
Vision
• Identify the language of text (Cloud)
• Generate SmaC replies (Cloud)
Natural Language
• Use Custom Model
• Use custom TensorFlow Lite Build
Custom Model