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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 flowcharts from the analysed data to demonstrate the flow of data in the software to be developed. The 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, the 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.


              Stages in an AI Project Cycle

              The AI project cycle involves several key stages, each building upon the previous one to develop, deploy, and
              maintain an AI system effectively. These stages are as follows:

                                                                Problem
                                                                Scoping


                                                                              Data
                                                Deployment
                                                                            Acquisition




                                                                               Data
                                                 Evaluation
                                                                            Exploration


                                                               Modelling

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