LONDE Tristan

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👋 Hello!

I’m an Artificial Intelligence engineering student at ENIB (École Nationale d’Ingénieurs de Brest), passionate about speech synthesis, signal processing, computer vision, and building offline intelligent systems.

In my free time, I design and develop fully local voice assistants, machine learning applications for voice, and innovative projects at the intersection of cybersecurity, computer vision, and AI-generated content detection (like deepfake audio).

I specialize in creating privacy-focused local voice solutions and explore open-source LLMs like GPT4All, Nous Hermes, and Mistral. I also enjoy working with tools like FastAPI, Streamlit, and OpenCV to build real-time AI-powered interfaces.

🌍 Interests

  • 💻 AI & Machine Learning: Real-time models, voice AI, local-first systems
  • 🎤 Speech Synthesis: Custom voice assistants, voice-to-voice pipelines
  • 👁️ Computer Vision: Fatigue detection, facial analysis, eye tracking
  • 🛡️ Cybersecurity: Deepfake detection, audio anti-spoofing