Hello, and welcome to this exciting course.
In this course, you will learn to integrate Face Recognition Models in Flutter apps with both
Images
Live Camera Footage
Face recognition is the process of identifying people using their faces, and in todays world, it is being used for countless purposes. Like
Security agencies use it to identify and track criminals.
Companies use it to monitor their employees
Educational institutes use it for marking attendance
and so on.
So in this course, you will learn to integrate different face recognition models in Flutter App Development to build smart and powerful applications for both Android and IOS.

Course Curriculum
We will start by learning the basics that how a face recognition model works. So in a face recognition system, there are mainly two parts
Face Registration
Face Recognition

Face Registration
So in face registration, we register the faces so that we can recognize them later. So just like the face unlock feature of your mobile phone firstly we need to register faces so that we can recognize them later. So in this part, we ask the user to scan the face using either images or live camera footage. Once the scan is completed we ask the user to assign a name to that face and we will store that face along with that name in the database.
Face Recognition
And in the face recognition part, we recognize those registered faces. So in this part, once the user scans his face we compare that face with our registered faces using face recognition models. And where the difference between two faces is minimum we consider that registered face as our recognition.

Choosing or Capturing Images in Flutter
After that, we will learn to
Choose Images from Gallery in Flutter
Capture Images using Camera in Flutter
And we will learn that because later we need to pass these images to our face recognition models to register and recognize faces inside our Flutter Application.

Face Recognition With Images in Flutter
In this section, we will start building our first face recognition application in Flutter. So we are going to build an application where users can
Register faces
Recognize faces
by using images from a gallery or camera. And in this application, we will use two different models for performing face recognition in Flutter. And those models are
FaceNet Model
Mobile FaceNet Model

Realtime Face Recognition
After performing face recognition with images and understanding the integration of face recognition models in Flutter we will build a real time face recognition application in Flutter. So we will register and recognize the faces using frames of live camera footage. So we will
Display the live camera footage in Flutter
Get the frames of live camera footage one by one
Pass those frames to our face recognition model
Recognize and register the faces in real time

Tensorflow Lite
To perform face recognition in Flutter apps we will use the models which are in Tensorflow lite format. TensorFlow lite is the proper format for using Machine Learning models in mobile applications. So during this course, we will also learn about this library.

So after completing this course
You will be able to integrate Face Recognition models in Flutter with both Images and the live camera footage
You can integrate Face Recognition based authentication in Flutter Applications
You can build fully functional Face Recognition based security and attendance systems in Flutter.
So in short this course is a complete cookbook for performing face recognition in Flutter app development. So what are you waiting for? Join the course now and learn the skill which matters the most.
Who this course is for:
Beginner Flutter Developers want to Build Face Recognition Based Flutter Applications
Intermediate Flutter App Developers who want to build complete Face Recognition System in Flutter
Expert Flutter Developers who want to increase their Skillset
Anyone who want to build Face Recognition based smart Applications
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SKILLS YOU WILL GAIN
Use of Face Recognition models with images and live camera footage
Build Face Recognition Based Flutter Application without Any Paid Facial Recognition Service
Use of Tensorflow Lite models in Flutter for Performing On Device Face Recognition
WHAT YOU WILL LEARN
Build Face Recognition based Security and Attendance Systems
Use of FaceNet and Mobile FaceNet models in Flutter