I developed an innovative AI-powered test plan generator that leverages OpenAI's GPT-4 to create comprehensive, structured test plans for software projects. This tool revolutionizes the test planning process by intelligently generating detailed test cases, reducing manual effort from hours to minutes while maintaining professional quality standards.

The application features both a CLI interface and a web interface, built with Node.js and TypeScript. It intelligently generates complete test plans including test objectives, scope definition, testing approach, environment requirements, and detailed test cases with preconditions, step-by-step procedures, expected results, priority levels, and realistic time estimates. The AI analyzes your project requirements and automatically creates test cases covering functional, non-functional, edge cases, and regression scenarios.

Key Features:

• AI-Powered Intelligence: Uses GPT-4 to generate context-aware test cases based on project description, features, and requirements

• Comprehensive Test Coverage: Automatically generates 5-10+ test cases covering functional, non-functional, edge cases, and regression scenarios

• Multiple Testing Types: Support for unit, integration, E2E testing, or comprehensive coverage across all types

• Multi-Platform Support: Optimized test plans for web, mobile, API, and desktop applications

• Flexible Export Options: Export test plans in JSON format for tool integration or Markdown for documentation

• Dual Interface: Choose between interactive CLI for automation or modern web UI for ease of use

• Smart Prioritization: AI automatically assigns priority levels (high, medium, low) based on test case criticality

• Time Estimation: Realistic time estimates for each test case and total test execution duration

I built a practical Python automation tool that simplifies music downloading from YouTube by converting videos directly to high-quality MP3 files. This project demonstrates proficiency in Python scripting, API integration, and automation workflows - skills that translate directly to test automation and DevOps tasks.

The tool uses yt-dlp (an advanced fork of youtube-dl) combined with youtubesearchpython to automatically search YouTube, download audio streams, and convert them to MP3 format using FFmpeg. It features smart search capabilities, automatic metadata extraction, and batch processing support for multiple songs simultaneously.

Key Features:

• Smart YouTube Search: Automatically searches YouTube for songs using artist and track name

• High-Quality Audio: Downloads and converts to MP3 at 192 kbps for optimal sound quality

• Batch Processing: Process multiple songs in a single execution from a simple Python list

• Automatic Organization: Creates organized output folders with numbered files for easy management

• FFmpeg Integration: Leverages FFmpeg for professional-grade audio conversion

• Error Handling: Robust error handling for failed searches or download issues

• Cross-Platform: Works on macOS, Linux, and Windows with proper dependencies