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QA Engineer Builds AI Platform That Converts Requirements into Test Cases

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A QA engineer has developed PassionQA, an AI-powered platform that transforms business requirement documents into structured quality assurance insights and executable test cases. The tool analyzes uploaded BRDs to identify missing rules, ambiguous requirements, and potential bug risks, while generating test scenarios across positive, negative, boundary, security, and accessibility categories. PassionQA uses Google Gemini as its primary analysis engine via a server-side API, with an automatic fallback to a local analysis engine if Gemini is unavailable. The platform outputs a QA dashboard featuring a Requirements Traceability Matrix, risk heatmaps, and exportable Excel and PDF reports. Built as a submission for a weekend developer challenge, the project is publicly accessible as a free web app with a demo preset based on an insurance policy BRD.

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QA Engineer Builds AI Platform That Converts Requirements into Test Cases · ShortSingh