AI-Driven Testing Framework Development
Budget: $30 – $250 USD
I am looking for a developer to create a web interface similar to ChatGPT, which will interact with various LLM models via API. The purpose of this interface is to leverage AI in generating a comprehensive test plan and test cases from a High-Level Design (HLD) document. All generated test cases should be formatted as agreed and sent to Jira, and subsequently converted into Selenium scripts.
Key Components of the Project:
- Web Interface: The interface should allow me to select the desired model from a range of LLM models, including GPT-4, DeepSeek, Gemini, among others.
- Input Processing: The AI model should take an HLD document as input and generate the necessary testing components.
- Jira Integration: Test plans and cases need to be pushed to Jira in the specified document format.
- Scripting: Convert test cases into Selenium scripts.
Ideal Skills and Experience:
- Proficiency in web development, particularly in creating interactive interfaces.
- Familiarity with LLM models and their APIs, specifically GPT-4, DeepSeek, and Gemini.
- Experience with Jira API and Selenium.
- Understanding of functional and performance testing.
- Ability to convert technical requirements into functional code.
Key Components of the Project:
- Web Interface: The interface should allow me to select the desired model from a range of LLM models, including GPT-4, DeepSeek, Gemini, among others.
- Input Processing: The AI model should take an HLD document as input and generate the necessary testing components.
- Jira Integration: Test plans and cases need to be pushed to Jira in the specified document format.
- Scripting: Convert test cases into Selenium scripts.
Ideal Skills and Experience:
- Proficiency in web development, particularly in creating interactive interfaces.
- Familiarity with LLM models and their APIs, specifically GPT-4, DeepSeek, and Gemini.
- Experience with Jira API and Selenium.
- Understanding of functional and performance testing.
- Ability to convert technical requirements into functional code.