Flutter Guide - Face Recognition and Detection in Flutter

Flutter Guide - Face Recognition and Detection in Flutter is an exciting online event where you can learn all about incorporating face recognition and detection into your Flutter applications. Join us for this informative session and discover how to implement these cutting-edge features in your projects. Don't miss out on this opportunity to enhance your Flutter development skills!

Imagine building captivating Flutter applications that can unlock doors with a smile or streamline security systems with a wink. The Flutter Guide – Face Recognition and Detection in Flutter empowers you to do just that! This comprehensive course equips you with the theoretical foundation to craft innovative apps that leverage the power of facial recognition and detection. Unleash the potential of Flutter and delve into the exciting world of facial analysis, transforming your app ideas into reality. Throughout the course, you’ll embark on a structured learning journey, meticulously designed to equip you with the knowledge to implement cutting-edge facial recognition and detection features in your Flutter applications.

Learning Outcomes

1. Grasp core concepts of choosing or capturing images within Flutter applications.
2. Master theoretical techniques for face detection in Flutter using still images.
3. Understand the fundamentals of face recognition with images in Flutter.
4. Explore the power of TensorFlow Lite models for enhanced face recognition capabilities.
5. Gain theoretical knowledge for storing registered faces securely within a Flutter application’s database.
6. Delve into the theoretical underpinnings of displaying live camera footage and performing real-time face detection and recognition in Flutter apps.

Why buy this Flutter Guide – Face Recognition and Detection in Flutter course?

1. Unlimited access to the course for forever
2. Digital Certificate, Transcript, student ID all included in the price
3. Absolutely no hidden fees
4. Directly receive CPD accredited qualifications after course completion
5. Receive one to one assistance on every weekday from professionals
6. Immediately receive the PDF certificate after passing
7. Receive the original copies of your certificate and transcript on the next working day
8. Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Flutter Guide – Face Recognition and Detection in Flutter there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Flutter Guide – Face Recognition and Detection in Flutter course for?

• Aspiring Flutter developers eager to elevate their skills with cutting-edge features.
• Flutter enthusiasts curious about implementing facial recognition and detection functionalities.
• Developers seeking to build innovative Flutter applications for security, attendance systems, and more.
• Individuals with a theoretical foundation in programming who want to explore the exciting world of facial analysis in Flutter.
• Creative minds looking to craft unique Flutter apps with real-world applications.
• Anyone fascinated by the potential of Flutter and facial recognition technology.

Prerequisites

This Flutter Guide – Face Recognition and Detection in Flutter does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Flutter Guide – Face Recognition and Detection in Flutter was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

• Mobile App Developer (Flutter): £40,000 to £65,000 per year
• Software Engineer (Machine Learning): £50,000 to £80,000 per year
• Flutter Developer: £35,000 to £60,000 per year
• AI Engineer: £55,000 to £90,000 per year
• Computer Vision Engineer: £45,000 to £75,000 per year
• Full Stack Developer: £40,000 to £70,000 per year

Disclaimer:
This is an online course consisting of pre-recorded sessions. Access to the course will be granted within 24 hours of enrolment.