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Home » Coding » Page 13
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Day 1: Introduction to AI-Powered Avatars #AIAvatars #FaceTracking

AI-powered avatars are transforming social media, gaming, and virtual communication by allowing users to create interactive, animated versions of themselves in real time. Today, we’ll introduce the core concepts and…
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Day 10: Optimizing and Deploying the Face Swap App #AppDeployment #ReactNativeDeepfake

On the final day, we’ll focus on optimizing the app for performance and deploying it to the Google Play Store and Apple App Store. This includes minifying assets, reducing build…
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Day 9: Testing and Debugging the App #AppTesting #DebuggingDeepfakeApps

On Day 9, we’ll focus on testing and debugging the entire face swap app. This includes ensuring that all functionalities, such as face detection, face swapping, post-processing, saving, and sharing,…
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Day 8: Adding Options to Save and Share Swapped Images or Videos #SaveAndShare #DeepfakeApp

On Day 8, we’ll focus on enabling users to save their swapped images or videos to their device and share them directly from the app. These features enhance the app’s…
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Day 7: Enhancing the Swapped Face with Post-Processing Effects #PostProcessing #FaceSwappingEffects

On Day 7, we’ll focus on improving the realism of the swapped face by applying post-processing techniques like smoothing, color matching, and edge blending. These enhancements ensure the swapped face…
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Day 6: Real-Time Face Swapping with the Device Camera #RealTimeFaceSwap #MobileDeepfake

On Day 6, we’ll take face swapping to the next level by enabling real-time face swapping using the device’s camera. This involves capturing live video frames, detecting faces, applying transformations,…
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Day 5: Applying Transformations and Warping for Face Swapping #FaceWarping #DeepfakeTransformations

On Day 5, we’ll focus on applying transformations and warping techniques to map the source face onto the target face. This involves using affine transformations and image blending to ensure…
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Day 4: Extracting and Aligning Facial Features #FaceAlignment #DeepfakePreparation

On Day 4, we’ll focus on extracting facial landmarks and aligning faces. These steps are crucial for ensuring that the face swapping process appears natural and realistic. By the end…
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Day 3: Implementing Face Detection #FaceDetection #MobileAIApp

Face detection is the first step in building a deepfake face swap app. On Day 3, we’ll integrate a pre-trained model like MTCNN or OpenCV for face detection. Users will…
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Day 2: Setting Up the Mobile App Framework #MobileFramework #ReactNativeSetup

On Day 2, we’ll focus on setting up the basic structure for your deepfake face swap app using React Native. This includes creating a home screen, adding navigation, and preparing…
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Table of Contents

×
  • 1. What Are AI-Powered Avatars?
    • Real-World Applications:
  • 2. Technologies Used in AI Avatars
  • 3. How AI-Powered Face Tracking Works
  • 4. Setting Up the Development Environment
    • Step 1: Install Node.js & Expo CLI
    • Step 2: Create a New React Native Project
    • Step 3: Install Dependencies
  • 5. Project Structure Overview
  • 6. Next Steps: Building the Core Features
  • 7. References & Learning Resources
  • 8. SEO Keywords:
→ Index