Page 204 - AI Ver 1.0 Class 9
P. 204

SDLC has the following stages:

                      Requirement
                        Analysis



                                    System Design




                                                Implementation




                                                                Testing



                                                                           Deployment




                                                                                        Maintenance



        As you can see in the above diagram, the first stage is Requirement Analysis. It is the stage where we have
        to analyse the required data and information. The next stage is System Design in which we design data flow
        diagrams like flowchart from the analysed data to demonstrate the flow of data in the software to be developed.
        Next stage is Implementation in which the real programs are written. After developing the programs, we need
        to test the written programs to solve the problem for which the programs are written. If the program is tested
        successfully then the software is deployed in the client location.

        Similar to SDLC, AI project cycle is the process of converting the real-life problem into an AI-based model. The
        project cycle framework is designed to help project managers guide their projects successfully from start to end.
        The purpose of the project life cycle is to create an easy-to-follow framework to guide projects. The AI project
        cycle provides us with an appropriate framework which can lead us towards our goal. The following are the
        stages in an AI project cycle:



                                Problem                   Data
                                 Scoping               Exploration              Evaluation





                                              Data
                                            Acquisition             Modelling




        1.  Problem Scoping: The first stage of an AI project cycle is problem scoping to identify the problem and
           have a vision to solve it. Problem scoping means selecting a problem and finding a solution for it using AI
           technology.



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