Resonant: Speech Therapy & Real-Time Feedback Platform

A research-backed, high‑precision platform designed to make speech training, peer conversation, and therapeutic feedback more accessible for individuals with speech impediments.
This project integrates real human interaction with AI-driven analysis to support confidence, fluency, and long-term communication outcomes.


The Problem

Current digital speech tools fall into disconnected categories:

  • Speech Therapy Apps – Provide structured practice but lack real human interaction.
  • Language Exchange Platforms – Offer conversation but no therapeutic guidance or impediment-focused feedback.
  • AI Conversation Tools – Miss the empathy, authenticity, and social‑confidence support users need.

This leaves a major gap: users often practice in isolation and struggle to build real conversational confidence.

Our Solution: Bridging the Gap

We introduce the first hybrid platform that combines:

  • Real human conversation (peer-to-peer)
  • AI-powered speech & facial analysis
  • Therapeutic structure designed for social anxiety and impediments
  • Clinical-grade metrics and progress tracking

This unified approach helps users build confidence, improve fluency, and receive meaningful feedback in real time.

Technical Architecture

The platform uses a robust, event-driven pipeline:

Core Pipeline

  1. GCS Trigger → Storage Adapter
  2. FFmpeg Audio Extraction
  3. MediaPipe Facial Analysis
  4. MongoDB structured data sink
  5. Dashboard visualization layer

Facial Tracking

  • Uses MediaPipe Face Landmarker
  • Tracks 478 3D facial landmarks
  • Runs at 60+ FPS with <4% NME error
  • Enables high‑fidelity extraction of:
    • Emotion timelines
    • Fluency patterns
    • Articulation metrics

Mission

To empower individuals with speech impediments through a combination of:

  • Human empathy
  • Real-time AI insights
  • Clinically validated methodology
  • Accessible, continuous feedback

This platform helps users build confidence, measure progress, and ultimately find their voice in real social settings.

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