MCA DCA71A3 AI FOR WEB APPLICATIONS

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Description

SESSION SEP – DEC 2025
PROGRAM MASTER OF COMPUTER APPLICATIONS (MBA)
SEMESTER III
COURSE CODE & NAME DCA71A3 AI FOR WEB APPLICATIONS
   
   

 

 

Set – 1

 

Q1. Explain how Artificial Intelligence techniques are integrated into modern web applications? Discuss any one application.  5+5

Ans 1.

Integration of Artificial Intelligence in Modern Web Applications

Modern web applications have evolved far beyond static pages, becoming dynamic, responsive, and personalized digital platforms. Artificial Intelligence (AI) plays a central role in this transformation by enabling systems to learn from data, automate decision-making, and deliver intelligent user experiences. AI methods including machine learning, natural language processing, recommendation engines, and intelligent automation are implemented in practically every

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Q2. Explain Supervised and Unsupervised Machine Learning approaches with an example? 5+5    

Ans 2.

Supervised and Unsupervised Machine Learning Approaches

Machine learning forms the foundation of many AI-driven systems, enabling applications to learn from data and improve performance without explicit programming. Two core approaches—supervised and unsupervised learning—serve different purposes based on the availability and structure of data. Understanding these techniques is crucial for designing intelligent web applications, recommendation systems, and analytics tools.

Supervised Machine

 

 

Q3. Describe how Natural Language Processing and Computer Vision enhance user interaction and experience in web applications? 5+5          

Ans 3.

Role of NLP and Computer Vision in Enhancing Web Application Experience

Modern web applications aim to deliver intuitive, natural, and interactive experiences that mimic human communication. Natural Language Processing (NLP) and Computer Vision (CV) play a significant role in achieving this transformation by enabling machines to understand text, speech, images, and visual patterns. Their integration has reshaped how users search for information, interact with digital systems, and perform daily tasks online.

Enhancing User Interaction through NLP

NLP enables web applications to

Set – 2

 

 

Q4. Discuss the role of Artificial Intelligence in enhancing User Experience in web applications?       10       

Ans 1.

Role of Artificial Intelligence in Enhancing User Experience in Web Applications

User Experience (UX) has become a central factor in determining the success of modern web applications. Today’s users expect responsive interfaces, personalized content, and seamless interactions. Artificial Intelligence (AI) plays a transformative role in fulfilling these expectations by enabling applications to learn from user behavior, predict preferences, automate responses, and

 

 

Q5. How is AI transforming security and accessibility in modern web applications?  10

Ans 5.

How AI is Transforming Security and Accessibility in Modern Web Applications

Security and accessibility are two essential pillars of modern web applications. With increasing cyber threats, data privacy concerns, and the need to support diverse user groups, web platforms must adopt advanced solutions that go beyond traditional methods. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing both security and accessibility by detecting risks faster, identifying suspicious activity, and enabling inclusive interactions through intelligent

 

Q6. Explain how AI is used in e-commerce for intelligent decision-making and automation? Discuss any one application for the same. 5+5

Ans 6.

AI in E-Commerce for Intelligent Decision-Making and Automation

E-commerce platforms operate in a highly competitive environment where intelligent decision-making and automation determine success. Artificial Intelligence plays a central role by analyzing user behavior, optimizing operations, forecasting demand, managing logistics, and creating personalized shopping journeys. AI transforms every stage of the e-commerce workflow—from product discovery to checkout—by making processes faster, more accurate, and customer-centric.

AI for Intelligent