Page 31 - Ai V2.0 Flipbook C8
P. 31

By following the AI project cycle, you increase the chances of developing AI solutions that are
                 not only functional but also practical and impactful in real-world scenarios.


                 Scenario:

                 Imagine using our AI skills to explore and discover habitable planets, just like in science fiction
                 movies. How could AI help analyse astronomical data, predict conditions on other planets, or
                 even simulate ecosystems that could support life on distant worlds?
                 Let’s try to solve a space-related challenge using the AI Project Cycle. Suppose we want to find
                 an ‘Earth-like exoplanet'.



                 Finding an Earth-like exoplanet
                    • An exoplanet is any planet located outside our solar system.
                    • Our goal is to identify a planet similar to Earth that exists far away from us.
                    • Some examples of Earth-like exoplanets are Gliese 667Cc and Kepler-69c.


                                                                                              21 st  Century   #Media Literacy
                                                                                                  Skills
                           Video Session

                     Watch the video of "Exoplanets: Weird, Wondrous Worlds" at the
                     given link:
                     https://www.youtube.com/watch?v=4IXYp9Fse44 or scan the QR code
                     and answer the following question:
                     Name different types of exoplanets discussed in the video.







                         Problem Scoping


                 Problem  scoping  is  the  first  and  most  important  step  in  the  AI  project  cycle.  It  involves
                 identifying  a  real-world  issue  that  can  be  addressed  using  AI.  This  step  requires  not  only
                 spotting a problem but also imagining how AI can help solve it. Often, we are surrounded by
                 problems—big or small—but we may overlook them because they’ve become a normal part of
                 our lives. Problem scoping encourages us to observe our surroundings carefully and define a
                 clear goal for the AI solution.

                 The Problem Scoping phase includes the following steps:
                    • Identifying the problem: Clearly define the specific issue your AI project is intended to solve.
                    • Understanding the context:  Study the background, causes, and impact of the problem to
                   gain a complete understanding.

                    • Defining goals and objectives: Set clear, achievable goals that align with the problem and
                   guide the AI solution’s direction.




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