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Speech Coach

AI-Powered English Speech Coaching Platform​

Speech Coach is a comprehensive AI-driven platform that helps users improve their spoken English through real-time analysis and personalized feedback.

Key Features​

  • Real-time Speech Recognition: Advanced audio processing with instant transcription
  • Lexical Diversity Analysis: Evaluates vocabulary range and complexity
  • Personalized Feedback: AI-generated suggestions for improvement
  • Progress Tracking: Monitor development over time with detailed analytics
  • Microservice Architecture: Scalable backend built with modern technologies

Technical Highlights​

Built as a distributed system using microservices, the platform demonstrates advanced backend architecture including:

  • Streaming Audio Processing: Real-time voice data analysis
  • Machine Learning Integration: AI models for speech evaluation
  • Data Pipeline Architecture: Efficient processing and storage systems
  • Docker Containerization: Easy deployment and scalability

Project Impact​

This project showcases my expertise in building complex, production-ready applications that combine multiple technologies:

  • Full-stack Development: From frontend UI to backend microservices
  • AI/ML Integration: Implementing speech recognition and analysis
  • System Architecture: Designing scalable, maintainable systems
  • DevOps Practices: Containerization and deployment automation

Architecture Diagram​

Speech Coach Architecture

Scalable microservice architecture with real-time audio processing and AI analysis.

User Interface​

Speech Coach UI

Modern, intuitive interface for real-time speech coaching and feedback.

View Technical Documentation →

Explore the complete documentation, API specs, and technical architecture details on the project website. API Documentation: View available endpoints and integration notes. Project Roadmap: Track upcoming features and improvements.