🚀DeepSeek, Java, Spring, speeechModel 🚀
Want a Java app that can listen, understand, and talk back — without sending your audio to the cloud? In this video, we build a full voice AI agent using the Spring AI Framework, DeepSeek for the reasoning layer, and the Vosk Model for offline speech-to-text — plus a text-to-speech layer so your app can respond out loud.
If you're a Java developer, AI enthusiast, or just exploring how to add voice to your own projects, this is a complete, code-first walkthrough you can follow along with.
🔍 What You'll Learn
Spring AI Framework fundamentals — chat clients, models, and integration patterns
Wiring up DeepSeek for advanced reasoning and automation inside a Java app
Using Vosk for accurate, fully offline audio-to-text transcription
Adding a text-to-speech (TTS) layer for real voice output
Full code walkthrough — from empty project to a working voice-enabled app
💡 Why This Stack
Spring AI brings AI integration into the Java ecosystem developers already know
Vosk gives you state-of-the-art speech recognition with no cloud dependency
DeepSeek adds strong reasoning and decision-making on top of that transcript
Together: a private, intelligent, voice-enabled application you fully control
📂 Resources
GitHub Repo: https://github.com/skooncode/SpringAI...
Spring AI Docs: https://docs.spring.io/spring-ai/refe...
Vosk Model Docs: https://alphacephei.com/vosk/models
DeepSeek API Docs: https://api-docs.deepseek.com/
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#SpringAI #DeepSeek #VoskModel #JavaDevelopment #AIIntegration #VoiceAI #SpeechRecognition #TextToSpeech #MachineLearning #ArtificialIntelligence
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