Volume-12, Issue-3

Posted on , by Editor IJARIIT

Volume-12, Issue-3

May-June, 2026

Research Paper

1. MARG: Ikigai-Based Career Guidance System

Career selection has become increasingly complex due to evolving industries and diverse opportunities. Many students face difficulty in identifying suitable career paths that align with their abilities and interests. This paper introduces MARG, a career guidance system that utilizes an Ikigai-based approach to evaluate user profiles across multiple dimensions. The system analyzes interests, skills, personality traits, and external factors to generate meaningful career recommendations. It further provides structured guidance through skill development plans and learning resources. The objective is to support informed decision-making while ensuring long-term satisfaction and adaptability. The proposed approach enhances clarity and enables individuals to explore career paths aligned with both personal goals and practical opportunities

Published by: Tanvi Pankaj Samarth, Rohit A. Parsode, Yashika A. Khandale, Rohan R. Landge, Ritish K. Das, Rohit C. Sakharkar, Vaishali Surjuse, Tejaswini MankarResearch Area: Computer Science & Engineering

Organisation: KDK College of Engineering, MaharashtraKeywords: Career Guidance, Artificial Intelligence, Ikigai Framework, Personalized Recommendation System, Career Decision-Making, Student Development, Skill Mapping, Career Planning, Intelligent Systems, Job Market Analysis.

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Research Paper

2. Nuclear Households, Persistent Values: Urbanisation and Family Change in Contemporary India

This paper examines how urbanisation, economic change, and shifting cultural expectations have reshaped family life in Indian cities across three dimensions: household composition, gender roles, and intergenerational relationships. A structured literature review brings together canonical sociological frameworks, including those of Parsons, Oakley, and Giddens, alongside India-specific scholarship from Uberoi, Gupta, Shah, Desai, Rao, Chakrabarti, Manchanda, and Bhattacharya. Empirical grounding is provided by census data and a 2026 field study of 100 households in Yelahanka, Bangalore. The central finding is that nuclear residential forms have been widely adopted across urban India since 1991, but the obligations and values associated with joint family living have not collapsed alongside them. Women have entered paid employment in considerably larger numbers, yet domestic and caregiving responsibilities have not been redistributed in any proportionate way. Intergenerational financial transfers remain near universal, though physical distance has created measurable social isolation among elderly people in nuclear households. The paper concludes that urban Indian family change is best understood not as modernisation in the Western sociological sense, but as a process of structural adaptation in which residential forms shift while relational premises remain largely intact.

Published by: Abhirath MehtaResearch Area: Sociology

Organisation: Prabhavati Padamashi Soni International Junior College, MaharashtraKeywords: Family Structures, India, Urban.

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Research Paper

3. Can SaMD Enhance Diagnostic Consistency and Turnaround Time in Resource-Constrained Public Healthcare Settings without Hardware Modification?

Long diagnostic turnaround times (TAT), equipment obsolescence, infrastructural inadequacies, and a lack of personnel are some of the ongoing issues facing resource-constrained healthcare systems. By integrating into current digital workflows, Software as a Medical Device (SaMD), especially AI-enabled systems, provides a scalable solution without necessitating changes to the underlying medical hardware. This study investigates whether SaMD may significantly increase turnaround time and diagnostic decision consistency in resource-constrained public healthcare settings. The results indicate that SaMD can greatly improve workflow efficiency and lower inter-operator variability. However, the main implementation obstacles continue to be algorithmic drift, regulatory fragmentation, cybersecurity concerns, and reimbursement constraints. The study concludes that SaMD is a workable, scalable solution for bolstering diagnostic systems in resource-poor areas when implemented through organised regulatory, financial, and cloud-based approaches.

Published by: Safal MuthaResearch Area: Computer Science

Organisation: VIBGYOR High, MaharashtraKeywords: Software as a Medical Device (SaMD), Artificial Intelligence (AI), Diagnostic Decision Consistency, Digital Health Infrastructure, Public Health Technology Integration.

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Research Paper

4. AI Voice Agent-Based Virtual Interview Platform

A full-stack AI mock interview platform using Next.js, Tailwind CSS, Vapi for real-time voice interactions, and Firebase for backend services and authentication. The project guides developers through setting up the Vapi dashboard for AI agent creation and integrating Google Gemini for dynamic, tailored interview question generation based on user input role, level, and tech stack. Key features implemented include authenticating users, generating personalized interview scenarios, initiating real-time voice conversations with the AI agent, and saving transcripts. Additionally, the tutorial covers designing a professional UI to display past interviews and generating detailed feedback based on the conversation transcript. By the end of this comprehensive guide, learners will possess the practical skills to deploy a portfolio-worthy application that leverages real-time AI voice technology. This is a practical, project-based approach designed to help developers level up their skills with real-world scenarios.

Published by: Parth Potbhare, Ayush Nikade, Sahil karnahake, Vaibhav Chinchulkar, Shreyash Janglekar, Sandesh jagtap, Abhishek Nachankar, Neha DhuriyaResearch Area: Artificial Intelligence Engineering

Organisation: Karmaveer Dadasaheb Kannamwar Engineering College, MaharashtraKeywords: Natural Language Processing (NLP), Speech Recognition, Google Gemini API, Automated Feedback System, Real-Time Communication, Interview Preparation, Adaptive Question Generation.

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Research Paper

5. Perceived Parenting Skills Among Parents of Children Undergoing Surgery: A Descriptive Analysis

Abstract: Surgery can be difficult for children and their parents. Effective parenting skills help to reduce the surgery-related discomfort and promote wellness and, consequently, favorable psychosocial surgical experiences for children. Most parents have anxiety before a pediatric surgical procedure. Parental anxiety may impair the parents' ability to cope with new or stressful situations while their children are undergoing surgery. Hence, in this study, the investigator has tried to assess the perceived parenting skills among parents of children undergoing surgery. Methods: This study was conducted using a descriptive correlational design among 100 parents of children undergoing surgery who met the inclusion criteria and were selected using a purposive sampling technique. Tools such as the demographic variable proforma of parents and children, and a rating scale to assess the perceived parenting skills were used. Results: The findings of the study revealed that the mean and standard deviation of the perceived parenting skills (M =32.93 & SD =3.30), indicating that most parents had consistently high levels of parenting skills with minimal variation among them. The association analysis reveals that among all selected background variables, mother’s occupation showed a statistically significant association with perceived parenting skills (χ² = 6.921, p = 0.008). Overall, the study highlights the need for continued support and targeted interventions to further strengthen parenting skills and enhance child outcomes during surgery.

Published by: Joselin Anna Bel P. C, Dr. Nesa Sathya Satchi, Hilda Rose MaryResearch Area: Nursing

Organisation: Apollo College of Nursing, Tamil NaduKeywords: Perceived Parenting Skills, Surgery, Children.

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Research Paper

6. Social Protection and Economic Marginality: A Study of Domestic Workers in Tamil Nadu

Domestic work represents a significant segment of the informal economy in India, particularly in Tamil Nadu, where women dominate this occupation. Despite their crucial role in sustaining households and supporting the urban and rural economy, domestic workers remain economically marginalized and socially excluded. This study examines the socio-economic conditions, income patterns, and access to social protection among domestic workers in Tamil Nadu, with specific reference to Namakkal District. Using a descriptive research design, primary data were collected from 120 respondents through structured questionnaires and interviews. Secondary data from government reports and scholarly studies were also used. The findings reveal that domestic workers face low wages, irregular employment, lack of legal protection, and limited access to welfare schemes. The study concludes that effective policy intervention, awareness, and inclusion in formal labour frameworks are essential to ensure economic security and social justice.

Published by: Mrs. Sutha. P, Dr. Parvathi. SResearch Area: Economics

Organisation: Kandaswami Kandar's College, Velur, Namakkal, Tamil NaduKeywords: Domestic Workers, Informal Sector, Social Protection, Economic Marginality, Tamil Nadu.

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Research Paper

7. CentralResume: A Unified Protocol for Structured Resume Management and Interoperable Job Profile Sharing

Creating and maintaining job profiles across multiple recruitment platforms is a redundant process. Users are often required to manually enter the same information repeatedly on those platforms, which makes it difficult to update the information later, increasing the risk of inconsistent data. Additionally, job seekers frequently maintain multiple versions of resumes tailored for different roles or industries, where only a subset of the information differs. Managing these variations manually reduces maintainability and scattered files and information. Moreover, parsing resume PDFs is inherently unreliable due to formatting variations and the lack of a standardized structure. This paper proposes a standardized protocol for maintaining a centralized repository of structured resumes that solves all the mentioned problems. The system allows users to store their professional information in a single authoritative location while enabling multiple variants of resumes tailored to specific roles or contexts using tags with minimal effort. To support interoperability across recruitment platforms and to minimize parsing issues, we introduce a standardized JSON-based schema for representing resume data, along with a sharing protocol powered by OAuth that allows recruiters and job portals to access resume information in a structured way. By eliminating the need for repeated manual data entry and unreliable document parsing, the proposed approach improves data consistency, simplifies resume management, and enables seamless integration between job seekers and recruitment platforms. It saves time by making resume sharing as easy as logging in with Google.

Published by: Anish Araz, Piyush Raj, Niraj Shah Rauniyar, Dr. Gowthul Alam M MResearch Area: Software Protocol

Organisation: Jain University, KarnatakaKeywords: Centralized Resume Management System (CRMS), Structured Resume Data, Resume Standardization, JSON Resume Schema, Resume Interoperability, Applicant Tracking Systems (ATS), Resume Parsing, Dynamic Resume Generation, Persistent Resume Links, Tag-Based Resume Versioning, Resume Sharing Protocol, Professional Profile Management, Recruitment Platforms, Structured Data Exchange, Resume Data Portability.

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Research Paper

8. Udaan Path – Data visualization and Interest Prediction with AI integration

Traditional student evaluation systems primarily focus on academic performance and often overlook individual interests, co-curricular involvement, and overall development. This paper presents UdaanPath, a Django-based educational data-driven web platform that uses the academic and non-academic performance data of students to make predictive calculations and provide career guidance for them using AI. We aim to give teachers and parents a tool that helps them to determine the best possible insights for a child. We implement the built-in administration panel of Django, which gives a dynamic manager tool to the school admin for administrative processes. We develop features like a personalised student dashboard, an AI-generated study plan for each student, a parent portal and career path suggestions in the project presented in this paper.

Published by: Shreyash Shastrakar, Suvidha Gurnule, Suraj Naranje, Sakshi Bongirwar, Vansh Waghmare, Sushil Borkar, Prathamesh Wankhede, Dr. Ajay Jaiswal, Sachin VermaResearch Area: Data Science

Organisation: KDK College of Engineering, MaharashtraKeywords: Educational Analytics, Interest Prediction, Data Visualization, Django, Personalized Learning, Parent Portal, AI Study Plan Generation, Gemini API.

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Research Paper

9. Online Banking Services and Customer Retention in India

The rapid advancement of digital technology has transformed the banking sector across the globe. In India, online banking services have become an integral part of financial transactions, enabling customers to access banking facilities conveniently and efficiently. The growth of internet penetration, smartphone usage, and digital payment systems has significantly contributed to the expansion of online banking. This study examines the relationship between online banking services and customer retention in India. It highlights the role of service quality, customer satisfaction, security, trust, and technological innovation in retaining banking customers. The paper also discusses the challenges faced by banks in maintaining customer loyalty in an increasingly competitive digital environment. The study concludes that effective online banking services enhance customer retention by improving convenience, reliability, and overall customer experience.

Published by: Dr. V. VelvizhiResearch Area: Economics

Organisation: Government Arts and Science College, Tamil NaduKeywords: Online Banking, Customer Retention, Digital Banking, Consumer Behaviour, Financial Technology, India, Customer Satisfaction.

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Review Paper

10. An IoT–AR Framework for Enhancing Interoperability for People with Disabilities

Advanced technologies continue to accelerate, particularly in the fields of the Internet of Things (IoT) and Augmented Reality (AR), which have demonstrated significant potential in assistive technologies. Globally, approximately 15% of the population lives with some form of disability, highlighting the urgent need for intelligent and accessible solutions. In Saudi Arabia, recent statistical reports indicate that 5.9% of Saudi citizens experience at least one mild physical difficulty, while 1.8% of the total population lives with at least one disability, with mobility and visual impairments among the most prevalent categories. To better understand real-world challenges, in 2024, an interview was conducted with a PhD holder with visual impairment, focusing on daily mobility challenges, current assistive technologies, and desired improvements. The findings revealed critical limitations in accuracy, response time, usability, and system integration. This paper analyzes existing AR–IoT assistive solutions and identifies key challenges, particularly latency, accuracy, and interoperability between heterogeneous devices and platforms. Current systems often require multiple software applications and hardware components, increasing complexity and cost. Therefore, this research proposes enhancing interoperability between AR and IoT technologies through a unified compatibility framework aimed at reducing system complexity, improving efficiency, and increasing accessibility for individuals with disabilities.

Published by: Abdulmalek ALdosseryResearch Area: Computer Engineering

Organisation: Qassim University, Saudi ArabiaKeywords: Internet of Things (IoT), Augmented Reality (AR), Assistive Technologies, Interoperability, People with Disabilities, Human–Computer Interaction, Saudi Arabia.

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