Page 14 - CT_AI_Class-8

After that, the system is trained using this data so that it can learn patterns and relationships.
Once trained, the system can make predictions or decisions when new data is given.
After building the system, it is tested to check whether it is working correctly. If there are errors,

the system is improved by using better data or making changes to the model. This process is
repeated until the system gives reliable and accurate results.
This complete process of planning, building, testing and improving an AI system is called the
AI project lifecycle. It helps in creating systems that are useful, accurate and able to improve
over time.

The TP-Link Tapo P110 Mini Smart Wi Fi Plug is a compact and
affordable device that turns regular appliances into smart devices.
It allows users to control appliances remotely and automate daily
tasks easily. It includes an energy-monitoring feature that helps track
electricity consumption and manage power usage efficiently. The device
ai lens works smoothly with the Tapo app and other smart-home platforms.

AI PROJECT LIFECYCLE

The AI project cycle is a step-by-step guide used to plan, build and apply AI solutions. It provides
a clear structure for organising, developing and carrying out an AI project to achieve a specific
task. It helps in turning an idea into a working system that can be used in real situations and
maintained over time.

Following a proper AI project cycle ensures that each stage is carried out in an organised manner
and reduces the chances of errors or unexpected problems. The following figure shows the six
stages of the AI project cycle:

Defining the Problem fact bits
The AI Project Cycle is
The first stage of an AI project cycle is defining the problem, where
the problem is clearly identified. This stage is important because a based on CRISP-DM,
well-defined problem leads to a more effective AI solution. During a data science
this phase, the focus is on understanding the situation in depth, framework developed
identifying key challenges and determining how Artificial Intelligence in 1996.
can be applied to address them.

12 Artificial Intelligence (CT & AI)-VIII