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13. What will be the results of converting the word ‘happily’ using stemming and lemmatization? Which process takes longer?

                    14. Give two points of difference between human language and computer language.
                    15. A class teacher wants to group students data based on the grades obtained in the examination. Which AI model should
                     he use and why?
                    16.  Explain the difference between grayscale and RGB images.

              Answer any 3 out of the given 5 questions in 50– 80 words each.                         (4 x 3 = 12 marks)

                    17.  “The process of understanding human language is quite difficult for a machine. This process is divided into five major
                     steps.” Explain the stages of NLP with the help of an example

                    18.  Computer Vision applications are based on single objects and multiple objects. Explain them.

                     OR
                       Differentiate between No-Code and Low Code AI.
                    19. Samiksha, a student of class X was exploring the Natural Language Processing domain. She got stuck while performing
                     the text normalisation. Help her to normalise the text on the segmented sentences given below:

                      Document 1: Rahul enjoys reading books.
                      Document 2: Rahul and Riya both love to read fiction books.

                  20.  Identify and explain the types of the learning-based approaches in the figure given below.

                                                                                                           Figure 1
                                                                        I think you are
                                                      What am I?         a Badminton






                        Lawn Tennis  Lawn Tennis





                                                                                                          Figure 2
                                                           I've no idea what you gave
                                                            me, but items on left are
                                                          different from items on right









                  21.  A social media company has developed an AI model to predict which users are likely to churn (cancel their account).
                     During testing, the AI model came up with the following predictions

                                                                               Predicted
                                                    Confusion matrix
                                                                               Yes     No
                                                                     Yes       60       25
                                                     Actual
                                                                     No         5       10

                     (a) Calculate precision, recall and F1 Score for churn prediction
                     (b) How many total tests were performed in the above scenario?
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