Project Info

Chime App

Devpost

This project did not submit a demo video on Devpost.

Problem Statement Spoken language barriers do more than obstruct communication; they hinder the deep, emotional connections that bind us and limit opportunities in our increasingly global society. We've heard countless stories of individuals struggling to communicate with loved ones or feeling isolated in new environments due to language barriers: many grapple with a fear of judgment, making language acquisition incredibly difficult. People should be able to learn languages in a way that feels supportive, engaging, and tailored to their unique needs. The power of speech in breaking down barriers and forging connections in everyday life cannot be overstated. Our solution? Chime. As a group of Stanford students who experienced the difficulties of language learning through our own or our loved one's experiences, we wanted to make language learning more accessible for those who need it the most. About Chime Chime is an AI-driven conversational engine capable of adapting to individual learning styles and progress. Supports 56 languages Web & mobile app, with watchOS companion app Apple Watch “Chime-in” notifications for habit formation Integrates voice recognition, TTS, and AI LLMs Learning and takeaways Embarking on this project, we delved into the complexities of language acquisition, cognitive psychology, and AI technology. Through a combination of voice recognition and multi-model machine learning systems, we've created personalized learning paths and subtle feedback mechanisms to encourage fun and explorative conversations. Informed by our personal experiences and user interviews, we also developed interactive real-world role-play situations where users can practice and broaden their vocabularies. The journey of creating Chime has been challenging, yet incredible, and we can't wait to share this product with the people we've made it for! As we continue to grow and evolve Chime, our mission remains the same: to empower individuals to connect, communicate, and thrive in a multilingual world.

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Technology

Found in codeClaimed only
  • CIn code
  • C++In code
  • DartIn code
  • HTMLIn code
  • KotlinIn code
  • SwiftIn code
  • OpenAIClaimed
  • PythonClaimed

6 of 8 appear in the indexed code. 2 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

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Codebase size

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106 KB

Source files

52

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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