Udemy – Face Detection & Recognition In Flutter – The 2025 Guide

What you’ll learn

• Build fully offline face recognition apps with no internet or paid APIs
• Develop face-based security and attendance apps in Flutter
• Understand how face detection and recognition work under the hood
• Implement real-time face recognition with liveness detection
• Capture live camera feed and process real-time frames in Flutter
• Register and manage multiple faces locally on the device
• Perform face recognition with FaceNet & MobileFaceNet (TFLite models)
• Detect faces in images using Google ML Kit in Flutter

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 technology
• Set up Flutter development environment on Windows & macOS
• Build an Image Picker App to capture or select photos from the gallery
• Implement Face Detection using Google ML Kit
• Perform Face Recognition with FaceNet & MobileFaceNet models (TensorFlow Lite)
• Register and recognize faces from images
• Manage and match multiple face records
• Capture and process camera frames in real-time
• Perform real-time face recognition with liveness detection
• Register faces from multiple angles for improved accuracy
• Build fully offline face recognition apps—no need for paid APIs or internet
• Use the concepts to create attendance, authentication, and security systems in Flutter

Why Take This Course?

• Offline Capability – Build apps that work without internet using TensorFlow Lite
• Zero API Cost – No paid services required, everything runs on-device
• Privacy Focused – All data and recognition stay local
• Real-time Apps – Learn how to work with live camera feeds in Flutter
• Fully Practical – Project-based learning for real-world applications

Who This Course Is For:

• Flutter developers interested in integrating AI-powered facial features
• Mobile app developers building security or attendance systems
• Beginners and intermediates looking to explore Face Recognition in Flutter
• Anyone who wants to learn offline face recognition with no paid API usage

Technologies Covered:

• Flutter & Dart
• TensorFlow Lite (TFLite)
• Google ML Kit Face Detection
• FaceNet & MobileFaceNet Models
• Real-time Camera Integration
• Image Picker & Camera Plugins

By 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!

Who this course is for:

• Anyone building security, authentication, or attendance systems in Flutter
• Developers looking to avoid paid APIs and build fully offline apps
• Beginners curious about face detection and recognition in real-world apps
• Tech enthusiasts eager to learn TensorFlow Lite with Flutter
• Students and hobbyists who want hands-on experience with ML in mobile apps
• Flutter developers who want to integrate AI features into their apps
• Mobile developers interested in offline face recognition solutions

DOWNLOAD LINK: Face Detection & Recognition In Flutter – The 2025 Guide

Face_Detection_Recognition_in_Flutter_The_2025_Guide.part1.rar – 1.5 GB
Face_Detection_Recognition_in_Flutter_The_2025_Guide.part2.rar – 1.5 GB
Face_Detection_Recognition_in_Flutter_The_2025_Guide.part3.rar – 1.0 GB

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