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Stage 5 Evaluation
The testing phase of the AI project cycle is a critical step where the model's performance is evaluated to ensure it
meets the predefined goals and requirements. If the model does not fulfil the required objectives, modifications
may be necessary. Once the developer ensures the model achieves satisfactory results and aligns with the
project's goals, the AI project proceeds to the deployment phase. This means the project will be transitioned
into an operational state, where it is fully implemented and handed over to the end-user for practical use.
Stage 6 Deployment
In this phase, the best-performing model is seamlessly integrated into the production environment. This
integration involves implementing the model in a real-world setting where it can be used for practical
applications. Additionally, this stage requires setting up a system for continuous monitoring to ensure that the
model consistently delivers accurate and reliable results over time. Ongoing maintenance is also established
to address any potential issues that might arise, such as changes in the data, evolving requirements, or
performance degradation. The goal is to sustain the model's effectiveness, adapting as needed to maintain
optimal performance and ensure that the solution remains valuable and efficient throughout its lifecycle.
Reboot
1. Name and explain the 4Ws in problem scoping stage of AI project cycle.
2. Which visual tools will you use to transform the raw data into a visual format?
Consider a given scenario to understand the AI project cycle
A High School aims to enhance its waste management practices by encouraging students and staff to recycle
correctly. However, many people accidentally put waste into the wrong bins, which contaminates recyclable
materials and increases waste sent to landfills. To address this challenge, the school decides to develop an
AI-powered system capable of automatically identifying and sorting waste, thereby improving recycling efficiency
and reducing environmental impact.
The different stages of the AI project cycle for the given problem are as follows:
Stage 1 Problem Scoping
The goal of this stage is to define the problem and outline its objectives.
• Goal: Address the problem of incorrect waste disposal, which leads to ineffective recycling efforts at the school.
The objective is to create a system that can identify different types of waste and sort them correctly into
recycling, compost, or trash bins.
140 Touchpad Artificial Intelligence (Ver. 3.0)-X

