An automated Video Compliance QA pipeline using LangGraph audits videos with RAG against regulatory rules. It uses Azure Video Indexer + OCR, Azure AI Search + embeddings, and GPT-4o to detect violations and generate structured JSON reports, with LangSmith tracing and App Insights monitoring.

Open-Source AI-Powered QA Tool for Automated UI Testing and Navigation.

An AI-powered automated testing platform built on Amazon Nova Act. QA Studio enables teams to create, manage, and execute web application tests using natural language instructions.

Story2Test AI: An automated QA assistant that instantly converts User Stories and Acceptance Criteria into structured, ready-to-use test scenarios.

Vibe code fast. Ship like an engineer. AI engineering framework packaged as an MCP server that enforces TDD, security scanning, pentesting, secret management, QA audits, and deployment to a securely configured VPS — automated with up to 100× fewer exploration tokens.

Automated Claude Code QA gate for AI-assisted development — Codex code review + Playwright browser smoke testing before the agent says done.

AI-powered multi-agent QA automation using Autogen, OpenAI, Jira MCP, and Playwright MCP. Features round-robin orchestration to analyze Jira bugs, generate smoke tests, convert them to Playwright scripts, and execute end-to-end UI automation with logs, screenshots, and structured outputs fully automated, scalable, and extensible.

Zeta: Physics-Inspired AI Test Generator — Gemini 2.5 + Z-Score/Isolation Forest for risk-aware, edge-case-focused automated QA. FastAPI backend — generate executable Selenium tests instantly.

An AI‑driven QA co‑pilot that takes you from user stories to fully automated test suites—manual cases, WDIO specs, and self‑healing validation—all in one streamlined pipeline.

AI Computer Use for Claude Code — The open-source alternative to OpenAI Codex's playwright-interactive. Dual-engine: Win32 API + Playwright. Control WeChat, DingTalk, Feishu, QQ, Slack, Teams, and any web/Electron app. Automated QA, viewport testing, visual feedback loops.

This software enables you to respond to job-related questions using your personal and professional information. It can be seamlessly integrated with external applications, such as bots, to automate responses in job application forms.

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Distributed AI Architecture for Automated Code Review, Intelligent Documentation, and Scalable QA Testing

Multi-agent AI system for automated software development. Architect, Developer, QA, Security, and Reviewer agents working together

Automated data cleaning and QA engineering scripts using Python and Pandas. Designed for high-integrity AI training datasets.

Claude Code skill for deep-testing OpenClaw AI agent gateway — automated multi-turn conversations, capability boundary discovery, and QA reporting

Automated QA suite for enterprise Sales Data Agents. Automates ground truth generation and AI-driven answer evaluation to ensure NL2SQL accuracy.

Production-ready AI agent evaluation and QA platform with multi-agent scoring, automated test execution, real-time dashboards, and OWASP Agentic Top 10 compliance checks.

Multi-agent AI pipeline: 8 agents, 4 teams, channel-based messaging with C+ Protocol. Automated task distribution, Dev↔QA loop, handoff system. Powered by Claude.

A comprehensive testing framework for generative AI systems. Provides automated validation of AI outputs through configurable YAML test suites, multiple evaluation methods, and LLM-as-a-Judge integration. Perfect for QA teams and developers building AI applications.

AI-Augmented QA Risk Intelligence using PyTorch and Azure ML. Predicts which automated tests are most likely to fail next, based on flakiness, past failures, and severity. Generates traceable risk reports to help QA teams prioritize testing intelligently.

AI-PDF-QA: High-performance Python system for PDF OCR and automated question answering using Gemini 1.5 Flash and Tesseract. Handles complex MCQs and open-ended queries.

AI-powered QA Checklist Generator. Instantly generate, prioritize, and manage comprehensive quality assurance testing checklists. Powered by Gemini 2.5 Pro and Claude 4.6 Sonnet for dynamic test generation and automated risk assessment. Built with Vanilla JS.

This project simulates automated testing for a digital banking system, validating the behavior of an AI that interprets financial requests. The tests focus on security, semantics, and banking domain rules, aligning with real-world QA challenges in modern fintech.

Automated Video Compliance QA Pipeline built with LangGraph and a RAG architecture. Uses Azure Video Indexer for transcript/OCR extraction, Azure AI Search with OpenAI embeddings for rule retrieval, and GPT-4o for violation detection. Produces structured JSON compliance reports with full observability via LangSmith and Application Insights.

This repository contains a complete QA Capstone project for the nopCommerce demo store. It includes test documentation (Test Plan, Strategy, Coverage Matrix), manual and BDD test cases, automated Playwright tests, CI/CD setup, and HTML reports. AI tools (ChatGPT, Gemini) were used to speed up test design and automation.

Automated AI-powered website QA tool, uses Puppeteer to capture multi-viewport screenshots (mobile, tablet, desktop) across 3 scroll sections, then sends each image to an LLM vision model for deep UI/UX analysis. Returns a structured JSON report covering responsiveness, layout, accessibility, grammar, and UX issues.

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This project is an end-to-end intelligent QA automation pipeline that converts Jira user stories into executable automated test cases using AI. It eliminates manual test case creation, accelerates regression testing, and provides fully autonomous execution with Playwright.

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