Скачать или смотреть I Build My Own Real-Time AI Voice Companion (ZEGOCLOUD + Android)

Get Started with AI Agent: https://bit.ly/4pk529b
ZEGOCLOUD Documentation: https://bit.ly/495LpNn
🔗 GitHub Repository: https://github.com/it1Hasan/AI-Compan...

Want to build an AI that actually listens and responds like a real person? In this video, I’ll show you how to create Mara, a real-time AI Voice Companion with 100% text accuracy and ultra-low latency! 🚀
Whether you're a student working on a degree project or a developer exploring Conversational AI, this step-by-step tutorial covers everything from backend Node.js setup to the final Kotlin Android app.

[Key Features] Real-Time Voice Interaction (ZEGOCLOUD SDK) ⭐ 100% Text Accuracy with Custom Buffering Logic ⭐ Natural Personality with LLM and TTS Integration ⭐ Modern Android UI with Dynamic Chat Bubbles

[Timestamps] 0:29 - Demo of Mara 1:30 - ZEGOCLOUD Project Setup 3:25 - Node.js Backend and Token Logic 10:35 - index.js 20:00 - Setting up Android Studio and Permissions 27:50 - Kotlin Implementation: The Core Logic 44:05 - Handling Network Security and Typos 46:28 - Final Demo and Conclusion

[Network Security Configuration Fix] If you face network connection issues, follow these steps:
Create a new XML file named network_security_config
Inside the config, set cleartextTrafficPermitted to "true"
Add your IP address under the domain section.
In your Manifest file, add the networkSecurityConfig line inside the Application tag.

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