TypeScript
MIT License

Lexi AI

AI-powered language learning application for improving speaking skills through interactive practice and intelligent feedback

Tags

AI Vue Education Language Learning Speech Recognition

Project Details

Language: TypeScript
License: MIT

Lexi AI

An innovative language learning platform that leverages AI to provide personalized speaking practice and real-time feedback, making quality language education accessible and affordable.

Overview

Lexi AI addresses the challenge of improving speaking proficiency by providing on-demand AI-powered conversation practice. Unlike traditional text-based language apps, it focuses specifically on speaking skills, offering learners immediate feedback without requiring human instructors.

Technical Stack

Built with modern web technologies for optimal performance and developer experience:

  • Frontend: Vue 3 with Composition API
  • Language: TypeScript for type safety
  • Styling: Tailwind CSS for responsive design
  • Build Tool: Vite for fast development and optimized builds
  • Package Manager: pnpm for efficient dependency management
  • Code Quality: ESLint and Prettier for consistent code standards

Key Features

  • Interactive Speaking Practice: Real-time conversation simulation with AI
  • Intelligent Feedback: AI-powered pronunciation and fluency analysis
  • Personalized Learning: Adaptive content based on user progress
  • Responsive Design: Works seamlessly across devices
  • Type-Safe Development: Full TypeScript implementation for reliability

Business Applications

This technology demonstrates expertise in:

  • AI Integration: Practical application of language models for education
  • Modern Frontend: Vue 3 best practices with composition API
  • User Experience: Designing intuitive interfaces for complex interactions
  • Real-time Processing: Handling audio input and providing instant feedback

Use Cases

  • Language Learners: Individuals seeking affordable speaking practice
  • Educational Institutions: Supplementary tool for language courses
  • Corporate Training: Employee language skills development
  • EdTech Platforms: White-label speaking practice module

Development Highlights

The project showcases:

  • Component-based architecture for maintainability
  • Hot-reload development environment
  • Production-optimized build process
  • Clean code practices with linting and formatting

Developer: Danny (hdcola) License: MIT Status: Active development (300+ commits)

Contributing to This Project

We welcome contributions from the community! Whether you're fixing a bug, adding a feature, or improving documentation, we'd love your help.

How to Contribute

  1. 1. Fork the repository
  2. 2. Create a feature branch
  3. 3. Make your changes
  4. 4. Add tests if applicable
  5. 5. Submit a pull request

Get Help

  • • Read the contributing guidelines
  • • Check existing issues and PRs
  • • Join our Discord community
  • • Reach out on GitHub Discussions

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