Overview
A cross-platform mobile application that provides real-time lecture transcription, AI-powered summaries, and intelligent Q&A to enhance learning efficiency.
Key Achievements
- 30% improvement in lecture review efficiency during pilot tests with 50+ students
- 41% higher engagement and 2× faster response times through A/B testing on note layouts and Q&A interface
- Fault-tolerant Whisper + LLM pipeline for reliable real-time processing
Technical Implementation
Architecture
- Frontend: React Native for cross-platform compatibility
- Backend: Flask with Python Celery for distributed task processing
- AI Pipeline: Whisper for speech-to-text, LLM for summarization and Q&A
- Infrastructure: Azure cloud services for scalability
- Design: Figma for UI/UX design and prototyping
Key Features
- Real-time transcription using advanced speech recognition
- AI-generated summaries with key points and concepts
- Intelligent Q&A system for lecture content
- A/B testing framework for continuous improvement
- Fault-tolerant processing for reliable performance
Results
- 30% efficiency gain in lecture review during pilot tests
- 41% higher engagement through optimized user interface
- 2× faster response times for Q&A interactions
- Positive feedback from 50+ beta users across multiple institutions