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Live Deployment2024

Multi-Modal AI Speech Coach

Real-Time Adaptive Speech Coaching

AI Engineer Speakers & presenters

🏆 Top 6 – Nex-Gen AI 24Hr Hackathon 2024

Personalised, real-time speech coaching that adapts prompts to how you actually sound.

An AI-driven app that personalises interactive coaching prompts with real-time LLM workflows, pairing TensorFlow speech analysis with a dynamic ReactJS UI. Top 6 at the Nex-Gen AI 24Hr Hackathon.

System Architecture

SpeakerLive audioReact UIDynamicSpeech AnalysisTensorFlowPrompt EngineLLMAdaptive CoachingFeedback
Speech is analysed by TensorFlow while an LLM prompt engine fuses both signals into adaptive coaching fed back to the speaker.

The Problem

Speakers had no fast, private feedback loop to practise delivery and improve in real time.

What I Engineered

  • Assembled an AI application personalising interactive speech-coaching prompts with real-time LLM workflows.
  • Integrated TensorFlow for speech analysis and a dynamic ReactJS UI for live feedback.
  • Engineered an adaptive prompt engine that tailors coaching to each speaker.

Impact & Scale

  • Real-time, private practice feedback loop
  • Multi-modal: audio analysis fused with LLM coaching
  • 🏆 Top 6 at the Nex-Gen AI 24Hr Hackathon 2024
LatencyReal-time
ModalitiesAudio + LLM
RecognitionTop 6 hackathon

Stack

LLMsReactJSTensorFlowPythonPrompt Engineering
Source code

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