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For Example
In highway construction, there are different issues related to land acquisition, land quality, deforestation, compensation,
raw materials, toll collection, etc. Although, these issues are different but are part of the same activity of highway
construction. In problem scoping, we take up one issue at a time and elaborate it for better understanding.
Let us fill the theme, topic and problems related to it in the following:
List of Problems
Land Quality
Deforestation
Theme Topic
Highway Land
Construction Acquisition Compensation
Raw Materials
Toll Collection
Now, we have identified that there are many problems to solve around us. To establish the goal of your project,
choose one problem from the list above that you want to address using your AI knowledge. This problem will
become the focus of your AI project, helping you to gain a clear vision of what needs to be achieved.
After determining the goal of your project, let us start working on it.
Some other examples of themes are:
Theme: Vaccination Drive
Vaccine Production, Ordering, Supply, Vaccination Points Identification, Online Registration, Appointment
Scheduling, Different Vaccine Distribution and Injection, etc.
Theme: Promotion to Senior School
Subject-wise Vacancy Identification, Class Distribution, Internal Students Promotion, Vacancy Advertisements,
Hostel Capacity Management, New Students Registration, Admission, Class Allotment, ID Creation, Fees Collection,
Uniform Availability, Books Availability, etc.
Theme: Budget Allocation
Forecasting Tax Collection, Design Schemes to Increase Trade to increase Tax Collection, Develop Infrastructure,
Support Banking to support Trade, Manage GDP Growth, Manage Employment, etc.
Identifying the Stakeholders
After setting the goal, we need to identify the people (stakeholders) who would be affected by the AI system when
it is developed. Stakeholders are individuals or groups who have an interest in the project or are affected by its
outcomes. They can provide valuable vision, support, and feedback throughout the project.
AI Reflection, Project Cycle and Ethics 193

