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2.   You are planning to create an AI model for the healthcare industry. You create a feasibility report. What information
                     according to you should be included in the feasibility report?
                3.   What is Data Acquisition? List few authentic sources of data.

                4.   In which stage is Algorithm selection done? Which stage occurs after algorithm selection?
                5.   While model training, we perform model optimization. What do you mean by model optimization? List 2 ways of
                     doing so.
                6.   Create a 4W Project Canvas for the following:

                     The COVID-19 outbreak has presented significant concerns to public health, governments, and medical communities
                     worldwide. A quick, dependable, widely available, and economical diagnostic approach is critical in the fight against
                     COVID-19. Computer vision models are now assisting in the rapid diagnosis of COVID-19. COVID-Net, developed
                     by Darwin AI in Canada, is most widely used for detecting COVID-19 instances using chest radiography pictures. For
                     COVID-19 diagnosis, the COVID-Net computer vision model obtained 92.4 percent accuracy.


                             ased/Application-b
                       ency-b
               Compet
            C.  Competency-based/Application-based questions:
                                               ased questions:
                1.   An AI model was developed to predict student academic performance by analysing factors such as student’s past
                     academic performance, parents’ educational  qualifications, and family  income. The model was trained  only on
                     families of one particular region. After testing, the model was deployed to client. However, after some time, it was
                     found that the model is no longer giving reliable predictions. What could be the problem? How can it be solved
                     now?

                2.   Vedant is part of an AI model development team. His team collected data and then built the model. However, on
                     testing they found that the model is giving inaccurate results even though the AI algorithm is correct. Vedant’s
                     team leader asks him if the data was cleaned? Vedant has no idea what this means. Explain the meaning of data
                     cleaning to Vedant. Also, state which stage of AI Model Lifecycle does data cleaning belong to. What is done in
                     this stage?


            Previous Years’ Questions


                1.   A training set is a set of ………………………. data in which the outcomes are already known.       [2023]
                     a.  current                                     b.  instant
                     c.  historical                                  d.  output
              Ans.   c.    historical
                2.   Match the following step of AI project given in column 'A' with its exact sequence given in column 'B'.   [2023]
                        Column  A                                       Column  B
                     1.  Evaluation & refinements                    A.  Second step
                     2.  Problem definition                          B.  Fifth step
                     3.  Data gathering                              C.  First step

                     4.  Deployment                                  D.  Fourth step
                     5.  AI model construction                       E.  Third step

                     a.  D   A   D                                   b.      A   D
                     c.  D   A                                       d.    D     A

              Ans.   c.    D   A




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