Overview
The Public Speaking Coach turns your browser into a practice stage. Select a scene (conference hall, boardroom, video call), hit record, and deliver your speech while watching real-time vocal metrics — volume, pace (WPM), pause count, and a live transcript. When you're done, an AI coach analyzes your delivery, content structure, word choice, and audience impact, then lets you ask follow-up questions in a conversational debrief.
No audio is stored. Only the transcript and aggregate vocal metrics are sent for analysis, making this safe for sensitive content like investor pitches or internal presentations.
How It Works
- Choose your context — Pick a speech type (presentation, pitch, keynote, toast) and audience scene (conference, boardroom, team meeting, video call).
- Record your speech — A split-screen view shows your SVG audience on the left and a live dashboard on the right with volume meter, WPM, word count, pause counter, and scrolling transcript.
- Get your assessment — Four result tabs: Overview (scores + highlights), Delivery (pacing, word choice, filler words), Content (structure, questions, jargon), and Coaching (exercises, audience impact).
- Debrief with your coach — Ask follow-up questions about specific feedback, request exercises, or explore "what if I improved X?" scenarios.
Key Features
Live Recording Dashboard
- Volume meter — Real-time volume level with color coding (too quiet, moderate, strong)
- Pace tracking — Words per minute updated live (ideal: 130-160 WPM for presentations)
- Pause counter — Detects significant pauses (> 1.5 seconds)
- Live transcript — Scrolling speech-to-text transcription with interim results
- SVG audience — Animated audience figures that respond to your speech
Overview Tab
- Overall score (0-100) with animated circular gauge
- Seven-dimension breakdown — Engagement, Clarity, Pacing, Vocal Variety, Structure, Confidence, Audience Awareness
- Highlights — What you did well, with specific quotes from your speech
- Improvements — Actionable suggestions tied to specific moments
- Audience impact estimate (advanced) — Retention score, persuasiveness, memorability
Delivery Tab
- Pacing analysis — Overall assessment, rushing moments, effective pauses, missed pause opportunities
- Word choice — Filler word detection (um, uh, like, you know), power words used, vocabulary level
- Emotional arc (advanced) — How energy flowed through opening, middle, and closing
Content Tab
- Structure analysis — Opening type and effectiveness, body organization, conclusion strength, transition quality
- Detected questions — Rhetorical questions, audience-directed questions, and how effectively they were used
- Jargon detection — Technical terms that may need explanation for the selected audience
Coaching Tab
- Priority exercises (advanced) — Top 3 areas to practice with specific exercises and time-to-improve estimates
- Likely audience questions (advanced) — What the audience might ask after your speech
- Conversational debrief — Ask your AI coach follow-up questions about any aspect of your performance
Use Cases
- Professionals preparing for board presentations, sales pitches, or all-hands meetings
- Students practicing class presentations, thesis defenses, or debate speeches
- Job seekers rehearsing interview answers and elevator pitches
- Wedding speakers practicing toasts and speeches with timing feedback
- Executives refining keynote delivery and storytelling
- Anyone who wants to reduce filler words, improve pacing, or build speaking confidence
From Demo to Production
This demo analyzes one speech at a time with browser-based recognition. A production deployment would add:
- Whisper API transcription — Server-side transcription for cross-browser support and higher accuracy
- Video recording — Analyze body language, eye contact, and gestures via computer vision
- Progress tracking — Score comparison across sessions, trend lines, personal bests
- Team coaching — Managers review team members' practice sessions and add feedback
- Presentation slides integration — Sync speech with slide deck for timing-per-slide analysis
- Audience Q&A simulation — AI generates mid-speech questions via text-to-speech
- Zoom/Teams emulation — Practice in a simulated video call environment with AI participant tiles
Real-World Challenges
| Challenge | Why It's Hard |
|---|---|
| Browser speech recognition limits | SpeechRecognition API only works reliably in Chrome/Edge. Production needs server-side transcription (Whisper) for universal support. |
| Microphone quality variance | Cheap laptop mics vs. external microphones produce very different volume/pitch data. Calibration baseline helps but isn't perfect. |
| Accent and language diversity | Speech recognition accuracy drops significantly for non-native English speakers and regional accents. Multilingual support requires multiple models. |
| Scoring subjectivity | "Good" public speaking is context-dependent — a wedding toast and a board presentation have different standards. Scoring must adapt to speech type. |
| Real-time AI feedback latency | Providing AI tips during a live speech requires sub-second response times, which GPT APIs can't guarantee. Client-side heuristics are the practical solution. |
| Privacy concerns | Users may practice sensitive content (financials, legal, HR). Production must guarantee no audio storage and minimal data retention. |
Cost Estimates (Platform Deployment)
| Component | Starter | Growth | Enterprise |
|---|---|---|---|
| AI API (GPT-4o-mini / GPT-4o) | $30–100/mo | $100–400/mo | $400–1,500/mo |
| Whisper API (server-side transcription) | $20–100/mo | $100–500/mo | $500–2,000/mo |
| Video analysis (optional) | $0 | $50–200/mo | $200–1,000/mo |
| Total monthly | ~$50–200 | ~$250–1,100 | ~$1,100–4,500 |
ROI Definition
- Primary metric: Speaking confidence score improvement over time (tracked via repeated practice sessions)
- Secondary metric: Reduced reliance on expensive in-person coaching ($200-500/hour for professional coaches)
- Break-even: First session — one AI coaching session replaces $200+ of human coaching time
- Concrete example: A sales team of 20 reps practicing 2 pitches/week each = 160 coaching sessions/month at ~$0.01/session = $1.60/month vs $32,000/month for human coaching at $200/session
Technology Stack
- AI Model: OpenAI GPT-4o-mini (basic) / GPT-4o (advanced)
- Speech Recognition: Web Speech API (Chrome/Edge)
- Audio Analysis: Web Audio API (AnalyserNode) — volume, silence detection
- Backend: Next.js API route (serverless)
- Frontend: React with SVG audience scene
Want This for Your Business?
White-label deployment for sales enablement, L&D departments, executive coaching firms, or educational institutions. Integrates with your LMS and includes team dashboards, progress tracking, and custom scoring rubrics. A full deployment typically takes 3–5 weeks and starts at $5,000.
This demo uses the Web Speech API for transcription (Chrome/Edge only) and GPT-4o-mini for assessment. No audio recordings are stored — only the transcript and aggregate vocal metrics are sent for analysis.