AI Meeting Transcription & Summarization System
Built a full-stack meeting workflow that transforms raw audio into structured minutes, reducing manual note-taking effort by ~50% for student society operations.
Problem
Manual meeting notes were inconsistent, time-consuming, and difficult to standardize across student society operations.
Solution
Developed a full-stack pipeline that converts meeting audio into structured summaries with agenda, key decisions, action items.
Tech stack


