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* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
AI Project Cycle 
In this chapter, we will revisit the concept of AI Project Cycle. 
Introduction 
Let us assume that you have to make a greeting card for your mother as it is her birthday. You are very 
excited about it and have thought of many ideas to execute the same. Let us look at some of the steps 
which you might take to accomplish this task: 
1. Look for some cool greeting card ideas from different sources. You might go online and 
checkout some videos or you may ask someone who has knowledge about it. 
2. After finalising the design, you would make a list of things that are required to make this card. 
3. You will check if you have the material with you or not. If not, you could go and get all the 
items required, ready for use. 
4. Once you have everything with you, you would start making the card. 
5. If you make a mistake in the card somewhere which cannot be rectified, you will discard it and  
start remaking it. 
6. Once the greeting card is made, you would gift it to your mother. 
Are these steps relatable? 
__________________________________________________________________________________
__________________________________________________________________________________ 
Do you think your steps might differ? If so, write them down! 
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________ 
These steps show how we plan to execute the tasks around us. Consciously or Subconsciously our 
mind makes up plans for every task which we have to accomplish which is why things become clearer 
in our mind. Similarly, if we have to develop an AI project, the AI Project Cycle provides us with an 
appropriate framework which can lead us towards the goal. The AI Project Cycle mainly has 5 stages: 
 
Page 2


 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
AI Project Cycle 
In this chapter, we will revisit the concept of AI Project Cycle. 
Introduction 
Let us assume that you have to make a greeting card for your mother as it is her birthday. You are very 
excited about it and have thought of many ideas to execute the same. Let us look at some of the steps 
which you might take to accomplish this task: 
1. Look for some cool greeting card ideas from different sources. You might go online and 
checkout some videos or you may ask someone who has knowledge about it. 
2. After finalising the design, you would make a list of things that are required to make this card. 
3. You will check if you have the material with you or not. If not, you could go and get all the 
items required, ready for use. 
4. Once you have everything with you, you would start making the card. 
5. If you make a mistake in the card somewhere which cannot be rectified, you will discard it and  
start remaking it. 
6. Once the greeting card is made, you would gift it to your mother. 
Are these steps relatable? 
__________________________________________________________________________________
__________________________________________________________________________________ 
Do you think your steps might differ? If so, write them down! 
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________ 
These steps show how we plan to execute the tasks around us. Consciously or Subconsciously our 
mind makes up plans for every task which we have to accomplish which is why things become clearer 
in our mind. Similarly, if we have to develop an AI project, the AI Project Cycle provides us with an 
appropriate framework which can lead us towards the goal. The AI Project Cycle mainly has 5 stages: 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Starting with Problem Scoping, you set the goal for your AI project by stating the problem which you 
wish to solve with it. Under problem scoping, we look at various parameters which affect the problem 
we wish to solve so that the picture becomes clearer.  
To proceed,  
? You need to acquire data which will become the base of your project as it will help you in 
understanding what the parameters that are related to problem scoping are.  
? You go for data acquisition by collecting data from various reliable and authentic sources. 
Since the data you collect would be in large quantities, you can try to give it a visual image of 
different types of representations like graphs, databases, flow charts, maps, etc. This makes 
it easier for you to interpret the patterns which your acquired data follows.  
? After exploring the patterns, you can decide upon the type of model you would build to 
achieve the goal. For this, you can research online and select various models which give a 
suitable output.  
? You can test the selected models and figure out which is the most efficient one.  
? The most efficient model is now the base of your AI project and you can develop your 
algorithm around it.  
? Once the modelling is complete, you now need to test your model on some newly fetched 
data. The results will help you in evaluating your model and improving it. 
? Finally, after evaluation, the project cycle is now complete and what you get is your AI project. 
Let us understand each stage of the AI Project Cycle in detail. 
Problem Scoping 
It is a fact that we are surrounded by problems. They could be small or big, sometimes ignored or 
sometimes even critical. Many times, we become so used to a problem that it becomes a part of our 
life. Identifying such a problem and having a vision to solve it, is what Problem Scoping is about. A lot 
of times we are unable to observe any problem in our surroundings. In that case, we can take a look 
at the Sustainable Development Goals. 17 goals have been announced by the United nations which 
are termed as the Sustainable Development Goals. The aim is to achieve these goals by the end of 
2030. A pledge to do so has been taken by all the member nations of the UN. 
 
Page 3


 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
AI Project Cycle 
In this chapter, we will revisit the concept of AI Project Cycle. 
Introduction 
Let us assume that you have to make a greeting card for your mother as it is her birthday. You are very 
excited about it and have thought of many ideas to execute the same. Let us look at some of the steps 
which you might take to accomplish this task: 
1. Look for some cool greeting card ideas from different sources. You might go online and 
checkout some videos or you may ask someone who has knowledge about it. 
2. After finalising the design, you would make a list of things that are required to make this card. 
3. You will check if you have the material with you or not. If not, you could go and get all the 
items required, ready for use. 
4. Once you have everything with you, you would start making the card. 
5. If you make a mistake in the card somewhere which cannot be rectified, you will discard it and  
start remaking it. 
6. Once the greeting card is made, you would gift it to your mother. 
Are these steps relatable? 
__________________________________________________________________________________
__________________________________________________________________________________ 
Do you think your steps might differ? If so, write them down! 
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________ 
These steps show how we plan to execute the tasks around us. Consciously or Subconsciously our 
mind makes up plans for every task which we have to accomplish which is why things become clearer 
in our mind. Similarly, if we have to develop an AI project, the AI Project Cycle provides us with an 
appropriate framework which can lead us towards the goal. The AI Project Cycle mainly has 5 stages: 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Starting with Problem Scoping, you set the goal for your AI project by stating the problem which you 
wish to solve with it. Under problem scoping, we look at various parameters which affect the problem 
we wish to solve so that the picture becomes clearer.  
To proceed,  
? You need to acquire data which will become the base of your project as it will help you in 
understanding what the parameters that are related to problem scoping are.  
? You go for data acquisition by collecting data from various reliable and authentic sources. 
Since the data you collect would be in large quantities, you can try to give it a visual image of 
different types of representations like graphs, databases, flow charts, maps, etc. This makes 
it easier for you to interpret the patterns which your acquired data follows.  
? After exploring the patterns, you can decide upon the type of model you would build to 
achieve the goal. For this, you can research online and select various models which give a 
suitable output.  
? You can test the selected models and figure out which is the most efficient one.  
? The most efficient model is now the base of your AI project and you can develop your 
algorithm around it.  
? Once the modelling is complete, you now need to test your model on some newly fetched 
data. The results will help you in evaluating your model and improving it. 
? Finally, after evaluation, the project cycle is now complete and what you get is your AI project. 
Let us understand each stage of the AI Project Cycle in detail. 
Problem Scoping 
It is a fact that we are surrounded by problems. They could be small or big, sometimes ignored or 
sometimes even critical. Many times, we become so used to a problem that it becomes a part of our 
life. Identifying such a problem and having a vision to solve it, is what Problem Scoping is about. A lot 
of times we are unable to observe any problem in our surroundings. In that case, we can take a look 
at the Sustainable Development Goals. 17 goals have been announced by the United nations which 
are termed as the Sustainable Development Goals. The aim is to achieve these goals by the end of 
2030. A pledge to do so has been taken by all the member nations of the UN. 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Here are the 17 SDGs. Let’s take a look: 
 
As you can see, many goals correspond to the problems which we might observe around us too. One 
should look for such problems and try to solve them as this would make many lives better and help 
our country achieve these goals. 
Scoping a problem is not that easy as we need to have a deeper understanding around it so that the 
picture becomes clearer while we are working to solve it. Hence, we use the 4Ws Problem Canvas to 
help us out. 
4Ws Problem Canvas 
The 4Ws Problem canvas helps in identifying the key elements related to the problem. 
 
Let us go through each of the blocks one by one. 
Who? 
The “Who” block helps in analysing the people getting affected directly or indirectly due to it. Under 
this, we find out who the ‘Stakeholders’ to this problem are and what we know about them. 
Stakeholders are the people who face this problem and would be benefitted with the solution. Here is 
the Who Canvas: 
Who? What? Where? Why?
Page 4


 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
AI Project Cycle 
In this chapter, we will revisit the concept of AI Project Cycle. 
Introduction 
Let us assume that you have to make a greeting card for your mother as it is her birthday. You are very 
excited about it and have thought of many ideas to execute the same. Let us look at some of the steps 
which you might take to accomplish this task: 
1. Look for some cool greeting card ideas from different sources. You might go online and 
checkout some videos or you may ask someone who has knowledge about it. 
2. After finalising the design, you would make a list of things that are required to make this card. 
3. You will check if you have the material with you or not. If not, you could go and get all the 
items required, ready for use. 
4. Once you have everything with you, you would start making the card. 
5. If you make a mistake in the card somewhere which cannot be rectified, you will discard it and  
start remaking it. 
6. Once the greeting card is made, you would gift it to your mother. 
Are these steps relatable? 
__________________________________________________________________________________
__________________________________________________________________________________ 
Do you think your steps might differ? If so, write them down! 
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________ 
These steps show how we plan to execute the tasks around us. Consciously or Subconsciously our 
mind makes up plans for every task which we have to accomplish which is why things become clearer 
in our mind. Similarly, if we have to develop an AI project, the AI Project Cycle provides us with an 
appropriate framework which can lead us towards the goal. The AI Project Cycle mainly has 5 stages: 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Starting with Problem Scoping, you set the goal for your AI project by stating the problem which you 
wish to solve with it. Under problem scoping, we look at various parameters which affect the problem 
we wish to solve so that the picture becomes clearer.  
To proceed,  
? You need to acquire data which will become the base of your project as it will help you in 
understanding what the parameters that are related to problem scoping are.  
? You go for data acquisition by collecting data from various reliable and authentic sources. 
Since the data you collect would be in large quantities, you can try to give it a visual image of 
different types of representations like graphs, databases, flow charts, maps, etc. This makes 
it easier for you to interpret the patterns which your acquired data follows.  
? After exploring the patterns, you can decide upon the type of model you would build to 
achieve the goal. For this, you can research online and select various models which give a 
suitable output.  
? You can test the selected models and figure out which is the most efficient one.  
? The most efficient model is now the base of your AI project and you can develop your 
algorithm around it.  
? Once the modelling is complete, you now need to test your model on some newly fetched 
data. The results will help you in evaluating your model and improving it. 
? Finally, after evaluation, the project cycle is now complete and what you get is your AI project. 
Let us understand each stage of the AI Project Cycle in detail. 
Problem Scoping 
It is a fact that we are surrounded by problems. They could be small or big, sometimes ignored or 
sometimes even critical. Many times, we become so used to a problem that it becomes a part of our 
life. Identifying such a problem and having a vision to solve it, is what Problem Scoping is about. A lot 
of times we are unable to observe any problem in our surroundings. In that case, we can take a look 
at the Sustainable Development Goals. 17 goals have been announced by the United nations which 
are termed as the Sustainable Development Goals. The aim is to achieve these goals by the end of 
2030. A pledge to do so has been taken by all the member nations of the UN. 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Here are the 17 SDGs. Let’s take a look: 
 
As you can see, many goals correspond to the problems which we might observe around us too. One 
should look for such problems and try to solve them as this would make many lives better and help 
our country achieve these goals. 
Scoping a problem is not that easy as we need to have a deeper understanding around it so that the 
picture becomes clearer while we are working to solve it. Hence, we use the 4Ws Problem Canvas to 
help us out. 
4Ws Problem Canvas 
The 4Ws Problem canvas helps in identifying the key elements related to the problem. 
 
Let us go through each of the blocks one by one. 
Who? 
The “Who” block helps in analysing the people getting affected directly or indirectly due to it. Under 
this, we find out who the ‘Stakeholders’ to this problem are and what we know about them. 
Stakeholders are the people who face this problem and would be benefitted with the solution. Here is 
the Who Canvas: 
Who? What? Where? Why?
 
 
 
What? 
Under the “What” block, you need to look into what you have on hand. At this stage, you need to 
determine the nature of the problem. What is the problem and how do you know that it is a problem? 
Under this block, you also gather evidence to prove that the problem you have selected actually exists. 
Newspaper articles, Media, announcements, etc are some examples. Here is the What Canvas: 
 
Where? 
Now that you know who is associated with the problem and what the problem actually is; you need 
to focus on the context/situation/location of the problem. This block will help you look into the 
situation in which the problem arises, the context of it, and the locations where it is prominent. Here 
is the Where Canvas: 
Page 5


 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
AI Project Cycle 
In this chapter, we will revisit the concept of AI Project Cycle. 
Introduction 
Let us assume that you have to make a greeting card for your mother as it is her birthday. You are very 
excited about it and have thought of many ideas to execute the same. Let us look at some of the steps 
which you might take to accomplish this task: 
1. Look for some cool greeting card ideas from different sources. You might go online and 
checkout some videos or you may ask someone who has knowledge about it. 
2. After finalising the design, you would make a list of things that are required to make this card. 
3. You will check if you have the material with you or not. If not, you could go and get all the 
items required, ready for use. 
4. Once you have everything with you, you would start making the card. 
5. If you make a mistake in the card somewhere which cannot be rectified, you will discard it and  
start remaking it. 
6. Once the greeting card is made, you would gift it to your mother. 
Are these steps relatable? 
__________________________________________________________________________________
__________________________________________________________________________________ 
Do you think your steps might differ? If so, write them down! 
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________
__________________________________________________________________________________ 
These steps show how we plan to execute the tasks around us. Consciously or Subconsciously our 
mind makes up plans for every task which we have to accomplish which is why things become clearer 
in our mind. Similarly, if we have to develop an AI project, the AI Project Cycle provides us with an 
appropriate framework which can lead us towards the goal. The AI Project Cycle mainly has 5 stages: 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Starting with Problem Scoping, you set the goal for your AI project by stating the problem which you 
wish to solve with it. Under problem scoping, we look at various parameters which affect the problem 
we wish to solve so that the picture becomes clearer.  
To proceed,  
? You need to acquire data which will become the base of your project as it will help you in 
understanding what the parameters that are related to problem scoping are.  
? You go for data acquisition by collecting data from various reliable and authentic sources. 
Since the data you collect would be in large quantities, you can try to give it a visual image of 
different types of representations like graphs, databases, flow charts, maps, etc. This makes 
it easier for you to interpret the patterns which your acquired data follows.  
? After exploring the patterns, you can decide upon the type of model you would build to 
achieve the goal. For this, you can research online and select various models which give a 
suitable output.  
? You can test the selected models and figure out which is the most efficient one.  
? The most efficient model is now the base of your AI project and you can develop your 
algorithm around it.  
? Once the modelling is complete, you now need to test your model on some newly fetched 
data. The results will help you in evaluating your model and improving it. 
? Finally, after evaluation, the project cycle is now complete and what you get is your AI project. 
Let us understand each stage of the AI Project Cycle in detail. 
Problem Scoping 
It is a fact that we are surrounded by problems. They could be small or big, sometimes ignored or 
sometimes even critical. Many times, we become so used to a problem that it becomes a part of our 
life. Identifying such a problem and having a vision to solve it, is what Problem Scoping is about. A lot 
of times we are unable to observe any problem in our surroundings. In that case, we can take a look 
at the Sustainable Development Goals. 17 goals have been announced by the United nations which 
are termed as the Sustainable Development Goals. The aim is to achieve these goals by the end of 
2030. A pledge to do so has been taken by all the member nations of the UN. 
 
 
* Images shown here are the property of individual organisations and are used here for reference purpose only. 
 
Here are the 17 SDGs. Let’s take a look: 
 
As you can see, many goals correspond to the problems which we might observe around us too. One 
should look for such problems and try to solve them as this would make many lives better and help 
our country achieve these goals. 
Scoping a problem is not that easy as we need to have a deeper understanding around it so that the 
picture becomes clearer while we are working to solve it. Hence, we use the 4Ws Problem Canvas to 
help us out. 
4Ws Problem Canvas 
The 4Ws Problem canvas helps in identifying the key elements related to the problem. 
 
Let us go through each of the blocks one by one. 
Who? 
The “Who” block helps in analysing the people getting affected directly or indirectly due to it. Under 
this, we find out who the ‘Stakeholders’ to this problem are and what we know about them. 
Stakeholders are the people who face this problem and would be benefitted with the solution. Here is 
the Who Canvas: 
Who? What? Where? Why?
 
 
 
What? 
Under the “What” block, you need to look into what you have on hand. At this stage, you need to 
determine the nature of the problem. What is the problem and how do you know that it is a problem? 
Under this block, you also gather evidence to prove that the problem you have selected actually exists. 
Newspaper articles, Media, announcements, etc are some examples. Here is the What Canvas: 
 
Where? 
Now that you know who is associated with the problem and what the problem actually is; you need 
to focus on the context/situation/location of the problem. This block will help you look into the 
situation in which the problem arises, the context of it, and the locations where it is prominent. Here 
is the Where Canvas: 
 
 
 
Why? 
You have finally listed down all the major elements that affect the problem directly. Now it is 
convenient to understand who the people that would be benefitted by the solution are; what is to be 
solved; and where will the solution be deployed. These three canvases now become the base of why 
you want to solve this problem. Thus, in the “Why” canvas, think about the benefits which the 
stakeholders would get from the solution and how it will benefit them as well as the society. 
 
After filling the 4Ws Problem canvas, you now need to summarise all the cards into one template. The 
Problem Statement Template helps us to summarise all the key points into one single Template so 
that in future, whenever there is need to look back at the basis of the problem, we can take a look at 
the Problem Statement Template and understand the key elements of it.
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FAQs on AI Project Cycle - Artificial Intelligence for Class 10

1. What is the AI project cycle?
The AI project cycle refers to the series of steps involved in the development and implementation of an AI project. It typically includes problem identification, data collection and preprocessing, model selection and training, model evaluation and refinement, and deployment and monitoring of the AI system.
2. How important is problem identification in the AI project cycle?
Problem identification is a crucial step in the AI project cycle as it helps define the specific objective of the project and identify the areas where AI can be applied effectively. Without a clear problem statement, it becomes difficult to collect relevant data and develop an accurate AI model.
3. What is the significance of data collection and preprocessing in the AI project cycle?
Data collection and preprocessing play a significant role in the AI project cycle as they provide the foundation for training an AI model. High-quality and relevant data is necessary to train an accurate and reliable model. Preprocessing involves cleaning, transforming, and organizing the data to make it suitable for training the AI model.
4. How does model evaluation and refinement contribute to the AI project cycle?
Model evaluation and refinement are crucial steps in the AI project cycle to ensure the model's performance meets the desired objectives. During evaluation, the model's accuracy, precision, recall, and other relevant metrics are measured using validation data. If the model does not meet the desired performance, refinement techniques such as hyperparameter tuning or adjusting the model architecture can be applied to improve its performance.
5. What is the role of deployment and monitoring in the AI project cycle?
Deployment and monitoring are essential stages in the AI project cycle to ensure the successful implementation and maintenance of the AI system. Deployment involves integrating the trained model into the production environment, making it available for real-time predictions. Monitoring helps in detecting any issues or performance degradation in the AI system, allowing for timely updates and improvements to maintain its accuracy and reliability.
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Nov 19, 2024 Last updated
Document Description: AI Project Cycle for Class 10 2024 is part of Artificial Intelligence for Class 10 preparation. The notes and questions for AI Project Cycle have been prepared according to the Class 10 exam syllabus. Information about AI Project Cycle covers topics like and AI Project Cycle Example, for Class 10 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises and tests below for AI Project Cycle.
Introduction of AI Project Cycle in English is available as part of our Artificial Intelligence for Class 10 for Class 10 & AI Project Cycle in Hindi for Artificial Intelligence for Class 10 course. Download more important topics related with notes, lectures and mock test series for Class 10 Exam by signing up for free. Class 10: AI Project Cycle | Artificial Intelligence for Class 10
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