[Python] How to design an AI system to predict automated tests from Gherkin user stories?...

I’m building an AI-driven system to generate automated test cases from user stories. I Dont have much knowledge on AI so i need some guidance

Here is Full Description :

Intelligent prediction of automated tests from user stories driven by AI

MISSIONS :

• Analyze user stories and predict test cases

• Process and normalize test data

• Explore and use different machine/deep learning models

• Integrate the developed AI model into an HMI to predict automated tests REQUIRED

TECHNOLOGIES Flask, Django, CI/CD (MLOps), Gherkin, Python, ML/DL, CRISP-DM methodology, NLP

I'm expecting some guidance and advise on the project and maybe proposed phases

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