Innovative Multi-Language Sentence Analysis Tool Achieves Near 1,000 Users
In the realm of language learning technology, innovative projects often start from a simple idea. That was certainly the case for a recent project developed to assist a loved one in mastering Korean grammar. What began as a modest, single-evening MVP has evolved into a robust, multi-language sentence analysis platform with a growing user base nearing 1,000 users.
Genesis of the Project
The journey commenced in February with a straightforward Next.js application that interfaced with the Gemini API. The initial goal was to create an intuitive tool for Korean language learners—specifically tailored for a family member—highlighting grammar components through color-coded visualizations. This initial prototype provided valuable insights and served as a foundation for further development.
Progress and Enhancements
Since its launch, the platform, named Hanbok Study, has undergone multiple redesigns, each enhancing usability and feature set. Key updates include:
- Expanded Language Support: Users can now analyze sentences in nine additional languages, with plans to incorporate more based on user requests such as Vietnamese, Hindi, and Indonesian.
- Advanced Features: Introduction of spaced repetition flashcards to reinforce learning, song lyric analysis for cultural immersion, and a chat interface that enables follow-up questions grounded in sentence analysis.
- Increased Usage: Currently, Hanbok analyzes hundreds of sentences daily, totaling approximately 40,000 analyses—a milestone reflecting active engagement.
Technology Stack
The application leverages a modern, scalable technology stack to ensure performance and flexibility:
- Front-End: Next.js framework with custom CSS for styling
- Back-End: Express web server managing API interactions
- Databases: Redis for caching and real-time data, MongoDB for persistent storage
- AI Integration: GPT-4.1 powering Optical Character Recognition (OCR) and conversational chat features
- Analysis Engine: Gemini API providing detailed sentence breakdowns
- Hosting: DigitalOcean infrastructure with NGINX for server management
Future Directions
Building upon this foundation, the project aims to introduce community-driven features, including:
- Discussion Forums: A dedicated space for language-specific Q&A
- Enhanced Multilingual Support: Adding new languages based on user interest
- Personalized Practice Quizzes: Grammar exercises tailored to individual learning histories
Get Involved
The project is open source and actively seeking contributions and feedback. Resources such as the GitHub repository and a
