Comprehensive Android Developer Bootcamp - What We'll Build - Android Face Recognition App

The video tutorial explains the development of an app using Firebase ML Kit for face detection. It covers the app's features, including a simple user interface, permission requests, and the ability to toggle between cameras. The tutorial demonstrates selecting and cropping images, detecting faces, and analyzing features like smiling probability and eye openness. It also explores handling multiple faces and introduces new UI elements for displaying information.

What backend service is used in the app for machine learning capabilities?

• AWS

• Azure

• Google Cloud

• Firebase

What does the toggle button in the app's interface allow you to do?

• Adjust the brightness

• Change the app theme

• Toggle between front and back camera

• Switch between different filters

What is the purpose of the crop activity in the app?

• To add text to images

• To crop images

• To edit the photo's colors

• To resize the app window

How does the app determine if a person is smiling?

• By measuring the distance between the eyes

• By calculating the smiling probability

• By analyzing the shape of the eyes

• By checking the color of the lips

What is the smiling probability of the second face in the demonstration?

• 100%

• 99.4%

• 50%

• 0.4%

What new feature is introduced when dealing with multiple faces?

• A new camera mode

• A bottom sheet for detailed information

• A new filter option

• An option to save the image

What is the probability of Kanye West smiling in the app's analysis?

• 0.2%

• 50%

• 75%

• 99%