Introduction to AI Domains: Class 10 Notes, Worksheet & Answers
Introduction to AI Domains
Artificial Intelligence becomes intelligent according to the training it gets. For training, the machine is fed with datasets. According to the applications for which the AI algorithm is being developed, the data fed into it changes.
With respect to the type of data fed in the AI model, AI models can be broadly categorized into three domains:
- Statistical Data (SD)
- Computer Vision (CV)
- Natural Language Processing (NLP)
Statistical Data
Statistical Data is a domain of AI related to data systems and processes, in which the system collects numerous data, maintains data sets and derives meaning/sense out of them.
The information extracted through statistical data can be used to make a decision about it.
Example of Statistical Data:
Price Comparison Websites
- These websites are being driven by lots and lots of data. The convenience of comparing the price of a product from multiple vendors in one place.
- Examples: PriceGrabber, PriceRunner, Junglee, Shopzilla, DealTime are some examples of price comparison websites.
- Nowadays, price comparison websites can be found in almost every domain such as technology, hospitality, automobiles, durables, apparel, etc.
Computer Vision (CV)
Computer Vision is a domain of AI that depicts the capability of a machine to get and analyse visual information and afterwards predict some decisions about it.
- The entire process involves image acquiring, screening, analysing, identifying and extracting information.
- This extensive processing helps computers to understand any visual content and act on it accordingly.
- In computer vision, Input to machines can be photographs, videos and pictures from thermal or infrared sensors, indicators and different sources.
- Computer vision-related projects translate digital visual data into descriptions.
- This data is then turned into computer-readable language to aid the decision-making process.
- The main objective of this domain of AI is to teach machines to collect information from pixels.
Example of Computer Vision:
Agriculture Monitoring
- Computer vision is employed in agriculture for crop monitoring, pest detection, and yield estimation.
- Drones with cameras capture aerial images of farmland, which are then analysed to assess crop health and optimize farming practices.
Surveillance Systems
- Computer vision is used in surveillance systems to monitor public spaces, buildings, and borders.
- It can detect suspicious activities, track individuals or vehicles, and provide real-time alerts to security personnel.
Natural Language Processing (NLP)
Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.
- Natural language refers to language that is spoken and written by people, and natural language processing (NLP) attempts to extract information from the spoken and written word using algorithms.
- The ultimate objective of NLP is to read, decipher, understand, and make sense of human languages in a valuable manner.
Examples of Natural Language Processing
- Email filters:
Email filters are one of the most basic and initial applications of NLP online. It started with spam filters, uncovering certain words or phrases that signal a spam message.
- Machine Translation:
NLP is used in machine translation systems like Google Translate and Microsoft Translator to automatically translate text from one language to another.
These systems analyze the structure and semantics of sentences in the source language and generate equivalent translations in the target language.
WORKSHEET: INTRODUCTION TO AI DOMAINS
A. Multiple Choice Questions (10)
- AI becomes intelligent based on the __________ it receives.
a) Hardware b) Training c) Battery d) Internet - AI models are broadly categorised into how many domains?
a) Two b) Three c) Four d) Five - Statistical Data domain focuses on:
a) Understanding pixels b) Visual information
c) Data systems and processes d) Speech recognition - Which of the following is an example of a price comparison website?
a) Canva b) Shopzilla c) Instagram d) Adobe Reader - Computer Vision mainly helps machines understand:
a) Text b) Audio c) Visual content d) Emotions - Which device is commonly used in agriculture monitoring using computer vision?
a) Microphone b) Drone c) Speaker d) Smartwatch - NLP deals with the interaction between:
a) Computers and images b) Computers and natural language
c) Humans and robots d) Sensors and devices - Email spam filters are an example of:
a) Computer Vision b) NLP c) Statistical Data d) Robotics - Machine translation systems like Google Translate work using:
a) CV b) NLP c) SD d) 3D modelling - Computer Vision systems often convert digital visual data into:
a) Human language b) Computer-readable descriptions c) Audio files d) Stories
B. Fill in the Blanks (5)
- AI models are trained using __________.
- Statistical Data derives __________ from large datasets.
- Computer Vision teaches machines to understand __________ from pixels.
- NLP attempts to extract information from __________ and written words.
- Machine translation uses NLP to convert text from one __________ to another.
C. Short Question Answers (20–30 words each)
- What is the Statistical Data domain of AI?
- How is Computer Vision useful in agriculture?
- What is the main goal of Natural Language Processing?
- Why is data important for training AI?
- How do email filters use NLP?
D. Long Question Answers (50–80 words each)
- Explain the Computer Vision domain and give two examples of its applications.
- Describe Natural Language Processing and explain how machine translation works.
📘 ANSWER KEY
A. MCQs – Answers
1. B, 2. B, 3. C, 4. B, 5. C, 6. B, 7. B, 8. B, 9. B, 10. B
B. Fill in the Blanks – Answers
1. Datasets 2. meaning / sense 3. visual information 4. Spoken 5. Language
C. Short Answers (20–30 words)
- Statistical Data domain focuses on collecting, organizing, and analysing large datasets to extract meaningful insights. These insights help make decisions and support AI applications such as price comparison websites.
- Computer Vision helps agriculture by analysing aerial images captured by drones to detect pest damage, monitor crop health, and estimate yield, allowing farmers to make better and faster decisions.
- The main goal of NLP is to help computers understand, interpret, and process human languages so they can extract useful information from written or spoken text accurately.
- Data is important for AI training because it allows the machine to learn patterns, understand relationships, and improve its performance for specific applications based on the quality and size of datasets.
- Email filters use NLP to scan messages, detect keywords or patterns linked to spam, understand their meaning, and then automatically classify them as spam or legitimate emails.
D. Long Answers (50–80 words)
- Computer Vision is an AI domain that enables machines to capture, analyse, and interpret visual information from images or videos. It converts pixel data into meaningful descriptions for decision-making. CV is widely used in agriculture for crop monitoring, where drones assess crop health. It is also used in surveillance systems to detect suspicious activities, track individuals, and alert security personnel in real time.
- Natural Language Processing is an AI branch that focuses on enabling computers to understand and interpret human language. It processes written and spoken text to extract useful meaning. Machine translation, such as Google Translate, uses NLP to analyse the structure, grammar, and semantics of sentences in one language and generate accurate translations in another language, helping people communicate across languages easily.
By Anjeev Kr Singh – Computer Science Educator
Published on : December 4, 2025 | Updated on : December 4, 2025
About the Author
