OptiQA is an AI-powered Quality Assurance automation platform designed to simplify and accelerate the testing process for web applications.
Its purpose is to:
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-Reduce manual testing effort.
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-Automatically generate, execute, and validate test cases using AI.
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-Enable QA engineers and developers to test faster, smarter, and more efficiently.
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-Provide detailed, real-time test results and maintain prompt/test history for traceability.
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- Reduce manual testing effort.
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- Automatically generate, execute, and validate test cases using AI.
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- Enable QA engineers and developers to test faster, smarter, and more efficiently.
+
- Provide detailed, real-time test results and maintain prompt/test history for traceability.
**Key Capabilities **
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**Technology Stack**
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AI/ML Models: AI Core (Python Services) NLP models (spaCy/Transformers) for test case generation from requirements. Log parsing and anomaly detection via ML classifiers. Rule-based system for mapping failures to probable causes.
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Backend: (Node.js + Firebase) APIs for test orchestration, log storage, and reporting.
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Frontend: (Flutter Web) Interactive dashboards for test execution results, failure logs, and visualizations.
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Databases: Database & Cloud Integration Firebase Firestore for structured storage. Cloud Functions for scalability and async task execution.
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**Challenges & Learnings**
Converting unstructured requirements into testable cases.
Handling variability in logs and error patterns. Ensuring scalability across different projects and teams. Combining NLP + rule-based logic works better than pure ML in early stages.