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

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