Here are some of my featured projects showcasing my work in distributed systems, machine learning, and software engineering.
Classmate AI
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 View on GitHub →