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Problem Scoping and Setting Goals for an AI Project
Problem scoping is the term used to define the process of selecting a problem that we might want to solve using
AI knowledge. Identifying a problem and then having a vision to solve it is called problem scoping. Let us start
scoping a problem. Look around, we are surrounded by problems, big or small. At times we don’t feel the problem,
as we are so used to them. Look around and select a theme that interests you the most from the following diagram:
Environment Travel Entertainment Education
Tourism
Cyber Women Social Security
Security Safety Welfare
Digital Agriculture Research Health
Literacy
Infrastructure Transport Traffic Disability
You can select any one from the above diagram. Further you can also select from the 17 Sustainable Development Goals.
In the context of problem scoping, a theme refers to a central topic or recurring issue that emerges from the analysis
and exploration of a particular problem space. A theme is a broad term which covers all the aspects of relevance
under it. Identifying themes in problem scoping is crucial as it helps to organise and focus the investigation that
ensures the problem is understood comprehensively and that solutions are aligned with the core issues.
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