Overview

Want to build powerful face detection and recognition apps in Flutter-without relying on paid APIs or internet connection? This hands-on course teaches you step-by-step how to integrate Face Detection and Face Recognition using TensorFlow Lite and Google ML Kit in Flutter for both image-based and real-time video recognition.Whether you're aiming to create a face recognition-based attendance app, a smart security system, or simply want to integrate AI facial features into your Flutter project, this course is your complete guide.What You'll Learn: Understand the basics and background of face recognition technologySet up Flutter development environment on Windows & macOSBuild an Image Picker App to capture or select photos from the galleryImplement Face Detection using Google ML KitPerform Face Recognition with FaceNet & MobileFaceNet models (TensorFlow Lite)Register and recognize faces from imagesManage and match multiple face recordsCapture and process camera frames in real-timePerform real-time face recognition with liveness detectionRegister faces from multiple angles for improved accuracyBuild fully offline face recognition apps-no need for paid APIs or internetUse the concepts to create attendance, authentication, and security systems in FlutterWhy Take This Course? Offline Capability - Build apps that work without internet using TensorFlow LiteZero API Cost - No paid services required, everything runs on-devicePrivacy Focused - All data and recognition stay localReal-time Apps - Learn how to work with live camera feeds in FlutterFully Practical - Project-based learning for real-world applicationsWho This Course Is For:Flutter developers interested in integrating AI-powered facial featuresMobile app developers building security or attendance systemsBeginners and intermediates looking to explore Face Recognition in FlutterAnyone who wants to learn offline face recognition with no paid API usageTechnologies Covered:Flutter & DartTensorFlow Lite (TFLite)Google ML Kit Face DetectionFaceNet & MobileFaceNet ModelsReal-time Camera IntegrationImage Picker & Camera PluginsBy the end of this course, you will have the confidence and skills to build robust face recognition apps using Flutter-from image-based verification to real-time, camera-based detection and recognition, all without internet.Enroll now and start building smart, offline AI-powered Flutter apps today!

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