Page 25 - Ai Robogenius

Task Century #Creativity
21 st
21 st
#Creativity
Century
#Social Interaction
Skills
#Social Interaction
Skills
Case: Substantial Electricity Bill (Continued…)
Part 1: Collect the following information from every student:
Name
Number of electrical appliances used daily at home

Average number of hours electricity is used at home daily
How often lights and fans are left on unnecessarily at home
Is the student responsible at school? (Yes/No)
Is the student responsible at home? (Yes/No)
Part 2: Group the students into these categories:

Responsible Both at School and Home
Responsible at School Only

Responsible at Home Only
Not Responsible at Either
Create Charts:
Pie Chart: For Responsibility Categories

Bar Graph: For Student Name vs Electricity Usage Hours
Column Graph: For Number of Appliances vs Responsibility
After analysing the data, you notice a pattern: students who are not responsible at school
also tend to leave lights and fans on at home.

Answer these questions:
1. How many students are responsible at both school and home?
2. Who uses the most appliances daily?

3. What pattern do you notice between responsibility at school and at home?
4. What suggestions do you have to reduce electricity usage both at school and at home?

MODELLING

Data Modeling refers to the process of developing decision-making algorithms that are trained
on the dataset gathered during the data acquisition phase, following the problem defined in the
problem-scoping phase. These algorithms learn to detect particular patterns within the data.
Once the data has been visualised and patterns identified, the focus shifts to building the AI model
by applying these algorithms. This can be achieved either by creating new models or by leveraging
existing AI models.

AI modelling involves creating algorithms called models that are designed to learn from data and
make intelligent decisions or predictions. This process essentially means programming machines

Stages of AI Project Cycle
23