TaksoAi is an innovative platform designed to transform the quantity takeoff process in construction, specifically for piping and HVAC systems. Utilizing artificial intelligence, it automates the recognition of over 60 types of fittings and measurements, significantly reducing the time required for manual takeoffs from hours to mere minutes. The platform provides a cloud-based interface for users to review and adjust detected elements, ensuring accuracy while seamlessly integrating with existing estimation systems. 

Project Overview: The goal was to establish automated smoke testing for a complex business solution and integrate best practices into the existing test suite using Playwright and TypeScript.

Accomplishments:

1. Best Practices Implemented: Introduced TypeScript best practices and the Page Object Model (POM) to improve code structure and maintainability.
2. Smoke Scenarios Automated: Developed smoke test scripts using TypeScript and Playwright to validate critical paths quickly.
3. Existing Tests Enhanced: Fixed bugs in existing tests to ensure stability and accuracy.
4. Optimized Test Runs: Removed all instances of waitForTimeout to enhance efficiency and reduce unnecessary delays