Mahad Abrar@MahadAbrar

The AI Requirements Engineer Assistant addresses a critical pain point in software development: poorly defined and analyzed requirements that lead to project delays, cost overruns, and failed implementations. Requirements engineering is often manual, error-prone, and lacks standardization across teams and organizations. Our solution leverages Large Language Models through the Groq API to automatically analyze requirements documents, identify ambiguities and inconsistencies, prioritize features based on business value and dependencies, and generate visual representations like use case diagrams. The tool helps product managers, business analysts, and developers collaborate more effectively by providing a shared understanding of requirements quality and completeness. Key differentiators include multi-format document support (PDF, DOCX, TXT), interactive natural language Q&A about requirements, and a clean, intuitive interface that requires no AI expertise to use. Unlike generic AI assistants, our tool is specifically designed for requirements engineering with specialized prompts and output formatting tailored to software development needs. Target users include software development teams, business analysts, product managers, and quality assurance professionals who want to improve requirements quality early in the development lifecycle, reducing costly changes and misunderstandings later.

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