Choose a Topic
All seven topics are open. Select any topic for which you have an implemented AI QA solution.
Discover how QA professionals are applying AI to real testing problems. Share your implementation, learn from the community and get recognised by OrangeDays.
All seven topics are open. Select any topic for which you have an implemented AI QA solution.
Explain what you implemented using AI in a clear 2–5 page PDF and include supporting evidence.
Complete, original submissions are evaluated for practical value, clarity, originality and impact.
The community can learn from three featured solutions each day. The first-ranked contributor also receives ₹2,000.
Use any suitable requirement, application, public API, personal project or sanitised work example. You can submit any topic at any time.
Share a solution you implemented using AI to review a requirement, identify ambiguity, expose missing information, improve acceptance criteria or assess testability.
The original or sanitised requirement, your AI-assisted process, the improved output, how you validated it and the practical value created.
Share a solution you implemented to generate useful test cases from any requirement. The requirement and application can be of your choice.
The input requirement, prompts or workflow, generated tests, improvements you made, coverage achieved and how you checked for missing, duplicate or hallucinated cases.
Share an implemented solution that uses AI to create effective test data for a UI, API, database or end-to-end testing scenario.
Your input conditions, generated data, coverage of valid, invalid and boundary combinations, how redundancy was controlled and how privacy was protected.
Share a working example where AI helped you create, improve or maintain test automation for a web, mobile, API or other application.
The scenario automated, your existing context or framework, how AI was used, relevant output or execution evidence, and how you reviewed the generated automation.
Share an implemented approach where AI helped investigate a failed test, intermittent failure, CI issue or unexpected application behaviour.
The available evidence, how AI analysed it, the diagnosis or next action, how you verified the conclusion and how unsupported fixes were prevented.
Share a solution you implemented using AI to understand, test or automate any public, sample or sanitised API.
The API context, AI-assisted test design or automation, sample requests and validations, execution evidence, error coverage and how credentials or sensitive data were protected.
Share an AI agent or connected workflow you implemented to complete or assist with a practical QA engineering activity.
The problem addressed, inputs, tools, actions, outputs, execution evidence, failure handling, limitations and mandatory human approval points.
Submit a PDF describing an implemented solution. Incomplete or idea-only submissions will not qualify.
Use a clear title and concise explanation. Do not include confidential company or client information.
Cover the QA context, AI tools or prompts, implementation approach, output and demonstrated result.
Add generated outputs, screenshots, test artefacts, execution results, code extracts, a workflow or an optional demonstration link.
Explain risks, limitations, privacy considerations and where human review is required.
The form is open at all times. Choose any topic and submit your implemented solution whenever you are ready.
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For each topic, the top three implementations will be shared so others can learn from their approach, validation and results. All three are featured on OrangeDays and LinkedIn; the first-ranked contributor also receives a ₹2,000 Amazon India voucher.
Explore the selected implementations, practical lessons and results as OrangeDays publishes them.
Choose a topic, document your implementation and submit it whenever you are ready.