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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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