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Posted inCoding

Day 6: Adding Interactive Gestures & Hand Controls #GestureControl #AIAvatars

On Day 6, we’ll introduce gesture recognition into our AI-powered avatar app. This will allow users to wave to start a conversation, raise a hand to stop, or thumbs-up to…
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Posted inCoding

Day 5: Implementing Real-Time Avatar Animations #AIAvatars #LiveAnimation

On Day 5, we’ll enhance our AI assistant by adding real-time avatar animations. This allows the 3D avatar to nod, shake its head, wave, and react naturally to user interactions.…
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Posted inCoding

Day 4: Integrating AI-Based Speech Emotion Analysis #VoiceEmotions #AIChatbot

On Day 4, we’ll analyze user voice emotions and adjust the chatbot’s tone and responses accordingly. This allows the AI assistant to detect emotions like happiness, sadness, or frustration and…
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Posted inCoding

Day 3: Mapping Facial Expressions to Chat Responses #FacialExpressions #AIChatbot

On Day 3, we’ll enhance the AI assistant by detecting facial expressions and mapping them to chat responses. This will allow the chatbot to react to emotions by changing its…
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Posted inCoding

Day 2: Enabling Voice Input for the AI Assistant #VoiceRecognition #AIChatbot

On Day 2, we’ll enhance our AI assistant by adding voice recognition so users can interact with the chatbot hands-free. We’ll use React Native Voice for speech-to-text processing, allowing users…
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Posted inCoding

Day 1: Setting Up an AI Chatbot for the Digital Assistant #AIChatbot #VoiceAssistant

Today, we’ll lay the foundation for our AI-powered digital assistant by setting up a chatbot using OpenAI’s GPT API or Google’s Dialogflow. This chatbot will converse with users and, later…
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Posted inCoding

Day 10: Optimizing and Deploying the AI Avatar App #AppDeployment #AIAvatars

On the final day, we’ll optimize performance, reduce app size, and prepare for deployment to the Google Play Store and Apple App Store. This includes minifying assets, enabling GPU acceleration,…
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Posted inCoding

Day 9: Adding Real-Time Security Features with Face Authentication #FaceAuthentication #AIAvatarSecurity

On Day 9, we’ll add face authentication to enhance security. This will allow users to unlock features or verify identity using their face. We’ll also explore privacy measures for handling…
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Posted inCoding

Day 8: Adding Multilingual Support & Voice Commands #VoiceControl #MultilingualAI

On Day 8, we’ll enhance the voice recognition system by adding multilingual support and enabling voice commands. This will allow users to interact with the avatar in different languages and…
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Posted inCoding

Day 7: Implementing Voice Modulation & Lip Syncing #VoiceSync #AIAvatars

On Day 7, we’ll add voice detection and lip-syncing, allowing the avatar’s mouth to move in real-time as the user speaks. We’ll also explore voice modulation to alter pitch and…
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Table of Contents

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  • 1. Why Add Gesture Control?
  • 2. Installing Hand Tracking Dependencies
    • Step 1: Install TensorFlow.js & MediaPipe Hands
    • Step 2: Install Expo Camera for Hand Detection
  • 3. Setting Up Gesture Detection
    • Step 1: Create GestureDetector.js
  • 4. Integrating Gesture Control with the Avatar
  • 5. Expanding Gesture-Based Commands
    • ✅ Wave Gesture → Start Interaction
    • ✅ Thumbs-Up Gesture → Confirm Action
    • ✅ Palm Raise → Stop Interaction
  • 6. Testing Gesture-Based Control
    • Step 1: Start the App
    • Step 2: Try These Gestures
  • 7. Improving Hand Gesture Recognition
  • 8. Key Concepts Covered
  • 9. Next Steps: Personalizing Avatar Responses
  • 10. References & Learning Resources
  • 11. SEO Keywords:
→ Index