Q1. [4] § 1.2: Introduction to AI Domains § Test Yourself § Reflection Time
Categorise the following examples under the given three AI domains — Data Science, NLP and Computer Vision with justification :
- (a) Recommendation Websites
- (b) Voice-based Virtual Assistants
- (c) Spam Filters
- (d) Airline Route Planning
Previously asked in CBSE board exam
2025 104/S Q20
Generated by claude-sonnet-4-6 · 2026-06-21 03:19 · grounding rag
Model Answer
| Example | Domain | Justification |
|---|---|---|
| (a) Recommendation Websites | Data Science (Statistical Data) | They collect and analyse large amounts of user data to suggest products/content, deriving meaningful insights from datasets. |
| (b) Voice-based Virtual Assistants | NLP | They interact with humans using natural spoken language; NLP algorithms decode and respond to human speech. |
| (c) Spam Filters | NLP | They detect certain words/phrases in emails to identify spam — one of the earliest NLP applications. |
| (d) Airline Route Planning | Data Science (Statistical Data) | They analyse large statistical datasets (weather, fuel, traffic) to extract insights and optimise flight routes. |
Source: Chapter 1, Section 1.2 — Introduction to AI Domains
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Explanation
- Key rule: AI domains are categorised by the type of data fed into the model — Statistical Data, NLP, or Computer Vision.
- Recommendation/route-planning → statistical/numerical data → Data Science.
- Voice assistants and spam filters both deal with natural language (spoken or written) → NLP.
- Examiners award 1 mark per correct categorisation with valid justification. Simply naming the domain without justification risks losing the mark.
- Note: The passage explicitly lists email/spam filters as an NLP example — quote it directly for full marks.
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