Page 29 - Ai Robogenius
P. 29
EVALUATION—THE TESTING STAGE
Evaluation is one of the most critical stages of an AI project. This phase is an important step
where we check how well the AI model works to see if it meets the goals set at the start. If the
model does not perform as expected, changes may be needed. Once the developer is happy
that the model works well and fits the project’s needs, the AI project moves to the next phase
called deployment.
Task 21 st
Century
Skills #Critical Thinking
Case: Substantial Electricity Bill (Continued…)
After installing the sensor and alarm system in some classrooms, gather the following data:
Reduction in electricity usage compared to the period before the system was installed
Number of times the alarm went off and what actions were taken
Feedback from teachers and students on how effective and easy to use the system is
A comparison of the costs of installing and maintaining the system versus the money saved
on electricity
Any technical problems or false alarms during the trial period
Use this data to decide if the system effectively reduces electricity usage and if it can be used
in all classrooms. Use this evaluation to improve the system before fully implementing it.
DEPLOYMENT
In this phase, the best model is put into real use. It is added to the actual system where people
can use it in everyday work. A system is also set up to watch the model’s performance regularly,
making sure it keeps giving correct and reliable results. If problems come up, like changes in data
or lower performance, the model is fixed and updated. The goal is to keep the model working well
over time and make improvements as needed.
Task 21 st
Century
Skills #Information Literacy
Case: Substantial Electricity Bill (Continued…)
Start by installing the solution (the app and sensors) in a few classrooms. After testing and
reviewing the results, including the cost of installation and the reduction in electricity use,
check if the system helps reduce the bill. If it does, roll out the system to all classrooms. Collect
feedback to improve the system based on how it is used in real-time.
Stages of AI Project Cycle
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