Feb 21, 2026

SmartOps

machine learning artificial intelligence tailwind css react supabase full stack end to end

This project focuses on solving a common problem in real-world software development: important requirements are scattered across emails, chats, meetings, and documents, making them hard to track and easy to miss. The system automatically collects this communication data, removes irrelevant content, and identifies key business requirements, decisions, timelines, and risks.

Instead of relying only on text generation, the project uses machine learning and rule-based logic to ensure the extracted information is accurate, explainable, and traceable to its original source. The final output is a structured Business Requirements Document that helps teams understand project goals clearly, detect conflicts early, and reduce manual effort in requirement analysis.

This build was uploaded as a hackathon project

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