You will get generated ai agents or QA automated test case generation for your app
Project details
You will get a Generative AI-powered system that transforms product requirements or user stories into structured, high-quality test cases automatically. The system leverages advanced AI reasoning to understand context, identify functional flows, and generate comprehensive testing scenarios including edge cases, negative cases, and validation rules.
Unlike basic automation tools, this solution uses Generative AI to intelligently interpret ambiguous requirements and produce human-like QA thinking at scale. It adapts to different domains and can output results in structured formats such as JSON or TestRail-ready test suites.
Built with a focus on real-world QA workflows, this system helps teams significantly reduce manual test design effort, improve coverage consistency, and accelerate release cycles while maintaining high testing quality standards.
Unlike basic automation tools, this solution uses Generative AI to intelligently interpret ambiguous requirements and produce human-like QA thinking at scale. It adapts to different domains and can output results in structured formats such as JSON or TestRail-ready test suites.
Built with a focus on real-world QA workflows, this system helps teams significantly reduce manual test design effort, improve coverage consistency, and accelerate release cycles while maintaining high testing quality standards.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, Automatic Speech Recognition, Image Processing, Image-to-Image Translation, Natural Language Generation, Natural Language Understanding, Speech Synthesis, Text RecognitionAI Tools
GitHub Copilot, Hugging Face, PyTorch, Replit, TensorFlowAI Models
BLOOM, DALL-E, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$25
|
Standard
$60
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$24
Additional Revision
+$10Frequently asked questions
About Mohamed Taha
Gen AI | QA Automation, Test Automation | ISTQB cetified
Marrakesh, Morocco - 11:27 pm local time
Steps for completing your project
After purchasing the project, send requirements so Mohamed Taha can start the project.
Delivery time starts when Mohamed Taha receives requirements from you.
Mohamed Taha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Submission
Client provides user stories, product requirements, or feature descriptions to be tested.
AI Processing & Generation
Generative AI analyzes inputs and generates structured test cases including functional and edge scenarios.