RequiSight

RequiSight is an AI-powered requirement engineering platform designed to automatically extract structured software requirements from unstructured conversations such as meeting transcripts, Slack discussions, and client calls.

The goal of this project is to reduce the manual effort involved in requirement gathering and documentation. Using Google Gemini AI, the system identifies and categorizes functional requirements, non-functional requirements, constraints, and target users from raw textual input. It then structures this information into a clear, machine-readable JSON format for further processing.

The platform also aims to improve traceability, detect potential requirement conflicts, and support the generation of Business Requirement Documents (BRD). By integrating AI into the requirement engineering workflow, RequiSight helps business analysts, project managers, and development teams accelerate documentation, improve clarity, and reduce ambiguity in early project phases.

Key goals:

• Automate requirement extraction from unstructured text

• Improve requirement traceability and organization

• Reduce ambiguity and manual documentation effort

• Enable scalable AI-assisted requirement analysis

Tech Stack:

• Frontend: React + Vite + Tailwind CSS

• Backend: FastAPI (Python)

• AI Engine: Google Gemini API

• Data Processing: HuggingFace Datasets

RequiSight is designed as a scalable AI-assisted requirement intelligence system for modern software development workflows.