Rachamalla Sai Arnav Goud@Sai_Arnav

Every meeting produces decisions and promises, but almost none of it survives past the calendar invite. EMOS solves this by turning raw meeting transcripts into structured organizational memory. When a transcript is uploaded, EMOS sends it to an LLM (via Fireworks AI) that extracts a summary, decisions made, action items, risks, dependencies, and open questions. Every commitment identified is automatically saved with an owner, deadline, priority, and status — no manual data entry required. The system then tracks these commitments over time: overdue status updates itself the moment a deadline passes, and blocked tasks are surfaced by tracing dependency chains between commitments. A live dashboard shows pending, overdue, and blocked work at a glance, and a built-in AI chat assistant lets users ask natural-language questions ("What's overdue for me?") answered strictly from their own meeting history — with no hallucinated information. EMOS is built as a full-stack application: a Next.js/React frontend, a FastAPI (Python) backend, and a PostgreSQL database, all containerized with Docker Compose for easy deployment.

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