🚀 SpeechViber

AI-powered platform that improves communication skills, offering real-time feedback for public speaking, debates, and conversations.

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📖 Description

SpeechViber is an innovative AI-powered communication training platform that helps users improve their public speaking, debate, and conversation skills. Using advanced speech recognition and AI analysis, it provides real-time feedback on tone, pace, clarity, filler words, and overall delivery.

What makes it unique:

• Real-time speech analysis
• AI-powered feedback on delivery
• Multiple practice modes (public speaking, debates, conversations)
• Progress tracking over time
• Personalized improvement suggestions

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✨ Features

• Real-time Analysis – Instant feedback on your speech
• Filler Word Detection – Identify and reduce "um", "uh", "like"
• Pace & Tone Analysis – Optimize speaking speed and vocal variety
• Clarity Scoring – Measure articulation and pronunciation
• Practice Modes – Public speaking, debates, casual conversations
• Progress Tracking – Monitor improvement over time
• Recording Playback – Review and analyze past sessions

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🧠 Tech Stack

Frontend

• JavaScript
• React
• HTML/CSS

AI / ML

• Web Speech API
• Speech Recognition
• Natural Language Processing

Audio Processing

• Web Audio API
• Audio visualization

Deployment

• GitHub Pages

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🏗️ Architecture / Workflow

Microphone Input → Speech Recognition → AI Analysis → Feedback Generation → Visual Display → Progress Storage

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⚙️ Installation & Setup

# Clone the repository
git clone https://github.com/DevRanbir/speechviber.git

# Navigate to project
cd speechviber

# Install dependencies
npm install

# Start development server
npm start

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🔐 Environment Variables

Create a .env file and add:

REACT_APP_SPEECH_API_KEY=your_speech_api_key
REACT_APP_AI_FEEDBACK_KEY=your_ai_api_key

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🧪 Usage

• Step 1: Allow microphone access
• Step 2: Select practice mode (speech, debate, conversation)
• Step 3: Start speaking
• Step 4: Receive real-time feedback
• Step 5: Review analysis and improve

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🎥 Demo

• Live Demo: https://devranbir.github.io/speechviber/

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📂 Project Structure

speechviber/
├── src/
│   ├── components/
│   │   ├── SpeechRecorder.js
│   │   ├── FeedbackDisplay.js
│   │   └── ProgressTracker.js
│   ├── services/
│   │   ├── speechAnalysis.js
│   │   └── audioProcessing.js
│   └── App.js
├── public/
└── README.md

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🚧 Future Improvements

• Add emotion detection in speech
• Implement accent training
• Create group practice sessions
• Add AI conversation partner
• Implement video analysis for body language

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👥 Team / Author

• Name: DevRanbir
• GitHub: https://github.com/DevRanbir

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📜 License

This project is licensed under the MIT License.