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LemonCANDY42/README.md

LemonCANDY42

I believe the dawn of universal agents for the physical world is already on the horizon.

I’m here to build tiny, working pieces of that future.

✨ Lately, I’m obsessed with

  • Multimodal agents that can reason, call tools, and actually finish tasks
  • Deep Learning + CV in the real world (detection / segmentation / tracking / action)
  • Speech interaction loops (ASR / TTS / lip-sync) that feel low-latency and natural
  • Edge deployment that survives messy constraints (Jetson / RK3588, ONNX, TensorRT)

🧪 Playground stack

LLM · VLM · Deep Learning · Computer Vision · ASR/TTS · MCP · ONNX/TensorRT

🌌 Public projects

🔒 Private builds

  • SaySee: a multimodal speaking-coach app with low-latency voice interaction.
  • Digital Human Productization: turning demos into deployable product + ops pipelines.

North star: turning frontier models into dependable agents that can operate in the physical world.

Pinned Loading

  1. HKUDS/Vibe-Trading HKUDS/Vibe-Trading Public

    "Vibe-Trading: Your Personal Trading Agent"

    Python 12.6k 2.4k

  2. FluidInference/FluidAudio FluidInference/FluidAudio Public

    Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

    Swift 2.3k 317

  3. sherpa_onnx_ortv2 sherpa_onnx_ortv2 Public

    Flutter sherpa-onnx fork with onnxruntime_v2 compatibility, provider auto-selection, and CI guardrails.

    Dart 2