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On receiving the data, you realise that it is not uniform. The images are of varied size and types, with or
without mask, etc. Also, some images are missing while some have multiple copies. Thus, you think of
putting all the data received in a simplified format for which you choose one:
a. Will try to remember all the faces in the images.
b. Place all the photographs in a graph and try to interpret a pattern out of it.
c. Create a database to store the image data.
d. Make a table and put the names of people whose photographs are with you.
After analysing the data, now you know that you need to develop a system, which can detect the face of
a person entering the plane and match it with the existing image database you have in the system. For
this, you put all the data into the AI-enabled model and train it in such a way that it alerts the officials if
any unauthorised person tries to enter the plane. To implement this, list down the components of your
system below:
1.
2.
3.
4.
5.
Your security system is now ready, and you test it by sending a combination of authorised and
unauthorised people to the plane. You achieve the result of 78% accuracy. After evaluating your model,
you work on other AI algorithms shortlisted by you.
You test the algorithms to:
After proper testing, you deploy your security system at the Airport around all the entrances of the
plane. The criminals, who intended to carry out the escape plan, got caught as they were not aware of
the security system deployed by you. You were successful in averting the escape and helped take the
criminal to his home country to be tried for his wrong doings.
Congratulations! Mission Completed!
Summary—AI Project Cycle
We discussed all the stages of an AI project cycle in detail. The project cycle starts with identification of a problem
and ends at the deployment of a successful model. The whole cycle can be summarised in the following manner:
1. Firstly, identify the problem for which an AI model needs to be made.
AI Project Cycle 213

