Auricle

Auricle is a lecture and recording transcriber and summarizer for the hard of hearing.

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Inspiration

Audio content is everywhere—from lectures and meetings to podcasts and interviews. However, for the hearing-impaired community, accessing this content in a usable, searchable format can be a challenge. Transforming audio into text and extracting key insights is often a barrier. Our inspiration was to improve this barrier. As we brainstormed, we decided wanted to create a tool that not only transcribes audio but also makes it accessible through smart notes and interactive quizzes, ensuring that everyone, regardless of hearing ability, can engage with and benefit from the information.

What it does

Auricle is an intelligent audio processing platform that:

  • Transcribes audio in real-time using streaming capabilities
  • Automatically generates concise, well-structured notes from the transcribed content
  • Creates interactive quizzes to test understanding of the material
  • Provides a seamless user experience through a modern React frontend

How we built it

We developed Auricle using a modern tech stack:

  • Frontend: React for a responsive, interactive user interface
  • Backend: Flask server to handle audio processing and AI operations
  • WebSockets for real-time transcription and summarizing
  • LLaMA and Hugging Face models for AI-powered text analysis and generation

Challenges we ran into

  • Implementing reliable real-time audio streaming while maintaining transcription accuracy
  • Optimizing the performance of large language models for quick response times
  • Ensuring generated notes captured key concepts while remaining concise
  • Coordinating frontend and backend communication through WebSockets
  • Balancing processing speed with accuracy in quiz generation

Accomplishments that we're proud of

  • Successfully implemented real-time streaming transcription with minimal latency
  • Created an intuitive user interface that makes complex AI features accessible
  • Developed an intelligent note generation system that extracts key information
  • Built a robust quiz generation system that creates relevant, meaningful questions
  • Achieved seamless integration between multiple AI models and services

What we learned

  • Advanced WebSocket implementation for real-time data streaming
  • Integration techniques for multiple AI models
  • Optimization strategies for language model performance
  • Best practices for React frontend development
  • Effective ways to process and analyze audio data

What's next for Auricle

  • Expanding language support for transcription and note generation
  • Adding customizable note templates for different use cases
  • Implementing collaborative features for shared note-taking
  • Enhancing quiz generation with different question types
  • Developing mobile applications for on-the-go use
  • Adding analytics to track learning progress
  • Integrating with popular learning management systems

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