Page 116 - Touhpad Ai

∑ Camera enhancements: AI improves the quality of photos by adjusting lighting, focus, and colour
balance. It is also used for portrait mode, scene recognition, and object tracking for more professional-
quality photos.
∑ Battery management: AI learns from a user's habits and optimises battery performance by adjusting
background processes and power usage, ensuring longer battery life based on the user's routine.

∑ App personalisation: AI analyses user behaviour and preferences to customise app suggestions, content
recommendations, and notifications, improving the overall user experience and app engagement.
∑ Smart photography features: AI enhances photographic capabilities by recognising scenes, adjusting
settings automatically, and offering features like night mode, AI-enhanced zoom, and image stabilisation
for clearer, more vibrant photos.

21 st
C. Competency-based questions: HOTS Century #Digital Literacy
Skills
1. Aman is developing an AI model to filter spam emails for a company’s email system. He needs a model that can
learn from past data and detect new spam trends. What type of machine learning model would be most suitable
for email spam detection?
Ans. A supervised learning model is ideal as it can be trained on labelled data to identify spam. Algorithms like
Naive Bayes or SVM are effective for classifying emails as spam or not.

2. Rahul is working on an AI-based recommendation engine for his online store. He wants to suggest products
to customers based on their past browsing and purchase history. How does AI use customer data to provide
personalized shopping recommendations?
Ans. AI analyses browsing history and past purchases to understand customer preferences. This helps deliver
tailored product recommendations, increasing conversion rates and enhancing the shopping experience.

Assertion and Reasoning Questions:
Direction: Questions 3-4, consist of two statements – Assertion (A) and Reasoning (R). Answer these questions
by selecting the appropriate option given below:
a. Both A and R are true and R is the correct explanation of A.
b. Both A and R are true but R is not the correct explanation of A.

c. A is true but R is false.
d. A is false but R is true.

3. Assertion (A): Machine Learning algorithms require large datasets to make accurate predictions.
Reason (R): Larger datasets allow the model to learn more patterns and generalize better.
Ans. a. Both A and R are true and R is the correct explanation of A.
4. Assertion (A): AI can only function with structured data, such as numbers and labels.
Reason (R): AI systems are trained on structured data for more predictable outcomes.
Ans. d. A is false but R is true.

Statement-based questions
Direction: Questions 5-6, two statements are given: Statement 1 and Statement 2. Examine the statements and
mark the correct option:
a. Statement 1 is true, Statement 2 is true
b. Statement 1 is false, Statement 2 is false
c. Statement 1 is true, Statement 2 is false

d. Statement 1 is false, Statement 2 is true

114 Touchpad Artificial Intelligence - XI