Grammar Query

GrammarQuery was developed as a project for the University of Pittsburgh's SheInnovates 2022 Hackathon. It serves as a voice-based language learning tool, prompting users with real-world questions to practice spoken English. The tool complements traditional language learning methods by focusing on conversational skills.

A live version of GrammarQuery can be found here. Please note that the demo is currently inactive, but there are plans to recreate the project in a functional state this year.

Check out the GrammarQuery Devpost submission for additional details about the project, its development process, and the team behind it.

Technical Details

The Web Speech API is utilized for speech recognition, allowing GrammarQuery to convert spoken language into text and facilitate interactive language learning.

GrammarQuery integrates with the GrammarBot API to analyze transcribed user responses. The API identifies grammar errors in the user's spoken English and presents them for learning purposes.

The source code for GrammarQuery is available on GitHub. Explore the repository to understand the implementation details or contribute to the project.

Conclusion

GrammarQuery demonstrates the intersection of language learning and technology, offering a unique approach to improving conversational English skills. The combination of voice interaction, grammar analysis, and planned project improvements makes it an interesting tool for language enthusiasts and learners alike.