AI Productivity Software
AI-powered work orchestration platform that extracts tasks from chats and emails, summarizes meetings with transcript + RAG workflows, and centralizes priorities in a dashboard with mindmap visualization and admin controls.
Project Overview
This project is an AI-powered productivity and work orchestration platform designed to reduce manual follow-ups and context switching by automatically converting communication into structured, prioritized tasks.
The system ingests data from team conversations, emails, and meeting recordings, then uses AI pipelines to extract intent and action items into a unified workspace.
Key Capabilities
Task extraction agents monitor team communication, identify actionable work, detect owners and due dates, and convert unstructured threads into trackable tasks.
Email intelligence classifies messages into actionable and non-actionable categories and extracts what should be done, by whom, and with which context.
A unified dashboard presents priorities and a mindmap-style task view to visualize relationships, dependencies, and workload clusters.
Meeting summarization converts video to transcript to summary, captures decisions and action items, and supports RAG-based Q&A over meeting history.
An admin panel supports employee management, access control, onboarding, and governance of organizational workflows.
Tech Stack and Outcome
Frontend is built with Next.js for server-rendered and API-driven UI across dashboards, mindmap views, and admin workflows.
Backend and data layer use Supabase with PostgreSQL for persistence, authentication, role-based access control, and storage of artifacts such as transcripts and processed outputs.
The final product acts as a single system of record for work, improving visibility into priorities and reducing operational overhead for teams.