| Paper ID |
IJIFR/V13/E7/034
|
| Author |
G.Yarasi, CMR College of Engineering & Technology
V.Lakshmi Narasimhan, Elizabeth City State University, NC, USA
D.Rammohan, CMR College of Engineering & Technology
|
| Paper Title |
AI -Driven Algorithms Over NDB-UFES Oral Cancer Histopathological Dataset
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| Subject Category |
Medical AI
|
| Abstract |
Oral cancer remains a significant global health challenge, particularly in regions where limited access to specialized pathology services delays diagnosis and treatment. Histopathological analysis is the clinical gold standard for detecting oral squamous cell carcinoma (OSCC), yet manual examination is time-consuming and susceptible to inter-observer variability. This study investigates the application of artificial intelligence (AI) techniques for analyzing histopathological images from the NDB-UFES Oral Cancer dataset, which contains 237 hematoxylin–eosin stained biopsy images representing OSCC and leukoplakia cases with varying degrees of dysplasia. Three AI-driven approaches were evaluated: a baseline convolutional neural network (CNN) model for image classification, a generative adversarial network (GAN) framework for synthetic data augmentation, and a Vision Transformer (ViT) model for advanced image representation learning. The objective was to assess the feasibility and effectiveness of these architectures under realistic small-dataset conditions commonly encountered in medical imaging research. Experimental results demonstrate that while deep learning models such as CNNs and Vision Transformers have shown high performance in large-scale medical imaging tasks, their accuracy is substantially reduced when trained on limited datasets. In this study, the CNN model achieved an accuracy of 56.25%, while the Vision Transformer achieved 54.43%. These findings highlight the impact of dataset size on model generalization and emphasize the importance of robust data augmentation and transfer learning strategies. The study provides insights into the applicability of modern AI techniques for oral cancer histopathological analysis and underscores the need for larger annotated datasets and multimodal learning approaches to support reliable AI-assisted diagnostic systems in oral oncology.
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| Keyword |
Histopathological Image Analysis, Convolutional Neural Networks, Vision Transformer, Generative Adversarial Networks, NDB-UFES Dataset
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|
| Paper ID |
IJIFR/V13/E7/033
|
| Author |
G.Yarasi, CMR College of Engineering & Technology
V.Lakshmi Narasimhan, Elizabeth City State University, NC, USA
D.Rammohan, CMR College of Engineering & Technology
|
| Paper Title |
Chilli Image Classification using ResNet50, VGG16 & InceptionV3 Algorithms- A comparative Analytics Algorithm
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| Subject Category |
Deep Learning
|
| Abstract |
This study presents a comparative evaluation of four deep learning architectures—CNN, ResNet50, VGG16, and InceptionV3—for chilli growth stage recognition and leaf disease classification. The models were assessed to determine their effectiveness in accurately distinguishing developmental stages and identifying disease conditions from image data. Experimental results demonstrate that transfer learning substantially improves classification performance across all architectures. Among the evaluated models, ResNet50 consistently achieved superior accuracy and overall performance in both growth stage and disease classification tasks. These findings highlight the effectiveness of deep transfer learning approaches in agricultural image analysis. Future research will focus on validating model robustness under real-field environmental conditions, designing lightweight architectures for mobile and edge deployment, and expanding the framework to support multi-crop classification systems for broader agricultural applications.
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| Keyword |
Chilli Image Classification, ResNet50, VGG16 & InceptionV3 Algorithms, Comparative Analytics
|
|
| Paper ID |
IJIFR/V13/E7/032
|
| Author |
M.Patel, CMR College of Engineering & Technology
V.Lakshmi Narasimhan, Elizabeth City State University, NC, USA
D.Rammohan, CMR College of Engineering & Technology
S.Kelkar, National Institute of Technology, Surathkal
|
| Paper Title |
Constructing an Immune-Related Gene Network of Host-Pathogen Interaction in Rice Plants Using Deep Learning Based Protocol
|
| Subject Category |
BioInformatics and Computational Biology
|
| Abstract |
This paper details the use of Deep Learning based protocol to construct an immune related Gene network of host-pathogen interactions in plants. Specifically, Deep Learning algorithms of LeCun, et.al. [1], Min, et.al. [2] and Zou, et.al. [3] have been used over three GEO datasets (GSE36272, GSE43050 and GSE95394) using the GPL2025 Affymetrix Rice Genome Array platform [9,10]. Our results confirm the following: i) a classification accuracy of 100% on test data using a three-layer deep neural network, ii) successful identification of top-ranked immune-related hub genes via Random Forest feature importance scoring, and iii) construction of statistically significant gene modules using the Markov Cluster Algorithm (MCL). When compared to related literature, the results presented in this paper are superior in the following terms: i) higher classification accuracy for host vs. pathogen-exposed conditions, ii) integration of multiple PPI and co-expression data sources with deep learning-based gene ranking, and iii) construction of rice-specific immune gene networks validated across multiple stress conditions and pathogen types.
|
| Keyword |
Deep Learning Protocol, Immune-Related Gene Network, Host-Pathogen Interactions, Rice Plants and Oryza sativa
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|
| Paper ID |
IJIFR/V13/E7/031
|
| Author |
S.Parthasarathi, CMR College of Engineering & Technology
V.Lakshmi Narasimhan, Elizabeth City State University, NC, USA
D.Rammohan, CMR College of Engineering & Technology
|
| Paper Title |
COPD Datasets Analysis Using AI-Driven Algorithms
|
| Subject Category |
Medical AI
|
| Abstract |
Chronic Obstructive Pulmonary Disease (COPD) is a progressive respiratory condition affecting over 300 million people globally and remains significantly underdiagnosed due to reliance on traditional spirometry-based screening. This paper presents a comparative study of three state-of-the-art gradient boosting algorithms—XGBoost, LightGBM, and CatBoost—for automated COPD severity classification on real clinical tabular data, benchmarked against a 1D Convolutional Neural Network (CNN) baseline. Additionally, a Stacking Ensemble combining all three gradient boosting models via a Logistic Regression meta-learner is proposed as a novel hybrid approach. Experiments are conducted on the Kaggle COPD Student Dataset comprising 101 patients and 19 clinical features. Results demonstrate that gradient boosting models substantially outperform the CNN baseline, with XGBoost achieving the highest accuracy (90.48%) and F1-score (89.76%), while CatBoost attains a near-perfect AUC-ROC of 99.31%. The Stacking Ensemble achieves competitive performance (85.71% accuracy, 97.9% AUC-ROC), confirming ensemble combination as a viable research direction. SHAP analysis identifies FEV1PRED, FEV1, and FVCPRED as the most influential clinical predictors, consistent with established GOLD severity guidelines.
|
| Keyword |
COPD severity Classification, XGBoost, Light BGM, CatBoost, Convolutional Neural Network, SHAP, Explainable AI
|
|
| Paper ID |
IJIFR/V13/E7/030
|
| Author |
Dr (Capt) Sapna Chawla, Rani Durgawati University, Jabalpur/Govt. Mankunwar Bai Arts and Commerce Autonomous College for Women Jabalpur (M.P.)
Dr Sunil Kumar Pahwa, Rani Durgawati University, Jabalpur/ G. S. College of Commerce and Economics, Autonomous, Jabalpur (M.P.)
|
| Paper Title |
TECHNOLOGY A DIGITAL DRIVE: UNLOCKING MADHYA PRADESH’S TOURISM POTENTIAL
|
| Subject Category |
Commerce
|
| Abstract |
Tourism in Madhya Pradesh State is undergoing a phenomenal transformation, driven by new technologies for its substantial growth. The use of technology has become inevitable in almost all spheres of life, and the tourism sector is no exception. Madhya Pradesh state has an overwhelming record of 13.3 crore visitors in 2024-25, as it has a diverse range of tourist destinations, from ancient temples and unique UNESCO World Heritage Sites to wildlife sanctuaries, jungle safaris, and mesmerising landscapes with unparalleled natural beauty. Madhya Pradesh state has emerged as a welcoming and well - connected destination both for domestic and international tourists due to its improved infrastructure, roads, rail, air-connectivity and structured hotels and motels.
|
| Keyword |
Tourism, Technology, UNESCO, Heritage sites, Wildlife Sanctuaries, Infrastructure
|
|
| Paper ID |
IJIFR/V13/E7/029
|
| Author |
Ms. DHANYA K, A.V.P COLLEGE OF ARTS AND SCIENCE
Ms. SARVESHWARI V, A.V.P COLLEGE OF ARTS AND SCIENCE
|
| Paper Title |
A STUDY ON CONSUMER PERCEPTION OF BNPL SERVICES IN TIRUPUR CITY
|
| Subject Category |
Commerce
|
| Abstract |
The study focuses on consumer perception towards Buy Now, Pay Later (BNPL) services in
Tirupur City. BNPL is a digital payment option that allows consumers to purchase products
immediately and pay later in instalments. The main objective of the study is to analyse consumer
awareness, usage, and satisfaction with BNPL services. Primary data were collected from 100
respondents using a structured questionnaire. The data were analysed using tools such as percentage
analysis, rank analysis, and chi-square test. The study found that most consumers prefer BNPL due to
convenience and flexible payment options, though some issues like overspending and hidden charges
were identified.
|
| Keyword |
Bnpl service, digital payment, credit
|
|
| Paper ID |
IJIFR/V13/E7/028
|
| Author |
Mohd. Anas, Manav rachna International institute of research and studies
Dr. Sonia Duggal, Manav rachna International institute of research and studies
|
| Paper Title |
A Review of Multi-Modal AI Techniques for Early Chronic Disease Identification
|
| Subject Category |
|
| Abstract |
Chronic diseases remain leading causes of morbidity and mortality globally, with delayed detection limiting treatment efficacy (WHO, 2023). Current diagnostic systems rely predominantly on isolated data modalities, constraining early intervention opportunities. This research presents a hybrid deep learning framework that integrates multi-modal patient data—electronic health records, medical imaging, laboratory reports, and clinical notes—for improved chronic disease detection. The proposed architecture combines convolutional neural networks for image analysis with transformer-based models (BioBERT, ClinicalBERT) for textual data processing, employing late-fusion mechanisms with attention layers for comprehensive risk prediction. Interpretability techniques including SHAP values and attention visualization are integrated to enhance clinical trust and model transparency. Experimental evaluation on benchmark healthcare datasets (MIMIC-IV, NIH Chest X-ray, UK Biobank) demonstrates significant improvements over single-modality baselines, achieving 10–15% higher accuracy and substantially increased sensitivity for early-stage disease identification. The framework addresses critical gaps in interpretability, generalizability, and ethical data handling.
|
| Keyword |
|
|
| Paper ID |
IJIFR/V13/E7/027
|
| Author |
Ms.M.HARIPRIYA M.Com ASSISTANT PROFESSOR SCHOOL OF COMMERCE, A.V.P COLLEGE OF ARTS AND SCIENCE
Ms.SAMS REKA G M.Com, A.V.P COLLEGE OF ARTS AND SCIENCE
|
| Paper Title |
A STUDY ON CUSTOMERS TRUST TOWARDS RETURN OPTION IN MEESHO SHOPPING WITH SPECIAL REFERENCE TO TIRUPUR CITY
|
| Subject Category |
Research methodology
|
| Abstract |
This study focuses on analysing customer trust towards the return option in Meesho
shopping with special reference to Tirupur. With the rapid growth of internet usage and digital
technology, online shopping has become popular because it offers convenience, time saving,
product variety and doorstep delivery. The return option provided in online shopping platforms
plays an important role in building customer trust and confidence while purchasing products.
The main objective of the study is to understand the level of customer trust towards the return
option in the Meesho app. Primary data were collected from 100 respondents using a structured
questionnaire and convenience sampling method, while secondary data were collected from
journals, books and websites. Percentage analysis, Chi-square test and ranking techniques were
used to analyse the collected data. The study helps to understand customer perception, trust
level and the problems faced by consumers while using the return option in the Meesho app and
provides suggestions for improving the return process and enhancing customer trust and
satisfaction in online shopping.
|
| Keyword |
Customer trust, Return option, Online shopping, Meesho app
|
|
| Paper ID |
IJIFR/V13/E7/026
|
| Author |
Chandni Yadav, Research Scholar
Dr. Anju Sharma, Assistant Professor
Prof. Poornima Jain, Professor
|
| Paper Title |
Equitable Water Governance in the Era of Climate Change: Advancing Climate Justice through Sustainable Water Missions
|
| Subject Category |
Political Science (Climate Justice)
|
| Abstract |
The problem of inadequate water governance, with reference to climate justice and sustainable water missions, has therefore been recognised as a paramount factor in promoting sustainable and inclusive development. Climate change, affected by anthropogenic activities, has further intensified existing inequalities in access to water resources, thus exacerbating water scarcity, unavailability of safe drinking water, water-borne diseases, plastic-made water pollution, and expanding vulnerability to climate-interrelated extreme events like floods, droughts, and sea-level rise. Such concerns have had a major effect on sustainable agriculture and livelihood systems, mainly among marginalised unions of society. In this view, water governance thus assumes a very important role in encouraging sustainable and equitable water resource management with reference to environmental sustainability and social justice. In the absence of proper water governance systems, inequalities in water resource distribution are further aggravated. This study aims to examine the role and potential of water governance in promoting climate justice. In addition to this, it also aims to analyse the potential of sustainable water missions in promoting equitable access to water resources among different divisions of society. It is projected in this paper that in the absence of proper water governance systems, sustainable water resource management is not conceivable.
|
| Keyword |
Climate Justice, Water Governance, Sustainable Water Missions, Climate Change, Water Scarcity, Water Inequality, Environmental Sustainability, Climate Resilience
|
|
| Paper ID |
IJIFR/V13/E7/025
|
| Author |
Prof Dr Jaimol James, St Dominic College, Kanjirapally, Kerala- 686512
|
| Paper Title |
Consumption Inequality and Household Welfare in India: Evidence from the Household Consumption Expenditure Survey 2023-24
|
| Subject Category |
Economics
|
| Abstract |
The household consumption expenditure is one of the most prominent indicators of material well being in the developing economies because the event captures the real authority that households impose on the goods and services. The Household Consumption Expenditure Survey (HCES) that is conducted by the National Sample Survey office under supervision of the ministry of statistics and programme implementation in the Indian environment provides the official basis of the analysis of consumption, welfare, poverty, and inequality. The 2023 24 version of the HCES was based on fieldwork conducted between August 2023 and July 24 and represented 251 953 households that were spread between rural and urban India and generated current evidence on monthly per-capita consumption expenditure (MPCE), expenditure composition, and inequality dynamics. According to the official estimates, the mean MPCE in 2023 24 was 4122 in rural India and 6996 in urban India, and the urban rural difference has reduced to 70 percent of 84 percent in 2011 12. The Gini coefficient of consumption expenditure respectively dropped by 0.237 in rural India and 0.284 in urban India, which represented a widespread attenuation of inequality in consumption. This article continues towards a decomposition-based understanding of those state conclusions, stating that the most recent HCES is better evidence of an increase in household welfare, especially in rural India, and, at the same time, they are showing that inequality is still structurally embedded in terms of asset, geographic, and non-food inequalities in assets, location, and access to non-food capabilities, such as education, transport, housing, and services. To conclude, it is argued in the paper that that the current consumption trend of India is both indicative of the welfare improvement and a continuous structural change in the household expenditure.
|
| Keyword |
consumption inequality, household welfare, MPCE, HCES 2023-24, India, Gini coefficient, welfare economics
|
|
| Paper ID |
IJIFR/V13/E7/024
|
| Author |
Dr.P. Uma Assistant Professor Department of Commerce PA & CS Sri Krishna Arts & Science College, Dr.P. Uma Assistant Professor Department of Commerce PA & CS Sri Krishna Arts & Science College
|
| Paper Title |
Impact of Performance Measures on the Market Value Added of Firms of selected indices in India
|
| Subject Category |
FINANCE
|
| Abstract |
Traditional performance metrics, such as Return on Equity (ROE), Earnings Per Share (EPS), and Return on Capital Employed (ROCE), primarily capture a firm’s historical performance and offer limited predictive value for future growth. In contrast, modern performance measures focus on value creation, providing a more accurate reflection of a firm's financial health and potential. Indicators like Economic Value Added (EVA), Market Value Added (MVA), and Total Shareholder Return (TSR) have gained prominence for their ability to align a company’s performance with shareholder expectations and wealth creation. This study examines the correlation between traditional and value-based measures with Market Value Added and Excess Total Shareholder Return, using data from prominent Indian stock indices—CNX Nifty, Mid Capitalization, and Small Capitalization. During the study period from 2013–14 to 2023–24, a total of 250 non-financial companies were analyzed, comprising 40 from CNX Nifty, 77 from Mid Capitalization, and 80 from Small Capitalization indices. Key performance measures such as Economic Value Added, DuPont, and Tobin’s Q were used to assess the relationship with Market Value Added.
The research also evaluates how these metrics influence shareholder value and addresses the shift in investor behavior from long-term wealth creation to short-term gain. Findings from this study are expected to provide insights into the effectiveness of value-based performance measures, contributing to a deeper understanding for stakeholders, market regulators, and corporate strategists in the Indian capital market.
Keywords: Performance Metrics, Traditional Measures, Value-Based Measures, Economic Value Added (EVA),Market Value Added (MVA),Total Shareholder Return (TSR),DuPont Analysis and Tobin’s Q.
|
| Keyword |
|
|
| Paper ID |
IJIFR/V13/E7/023
|
| Author |
Dr. Vandana Aravindan, St. Xavier’s College for Women, Aluva, Kerala
Sr. Dr. Sindhu PJ, St. Xavier’s College for Women, Kerala
|
| Paper Title |
LIVELIHOOD TRANSITION OF WETLAND DEPENDENT COMMUNITIES IN ERNAKULAM DISTRICT OF KERALA
|
| Subject Category |
Economics
|
| Abstract |
Ernakulam district has been well endowed with wetlands and has the second largest extent of wetlands in the state of Kerala. Many studies suggest that the issue of degradation and conversion of wetlands is very serious in the district because of the fast pace of urbanization and rapid industrialization. This issue has got a very serious economic impact in the form of livelihood changes of traditional wetland resource users. In this context the study explores the livelihood profile of wetland dependent communities and the sustainability issues of wetland dependent occupations. The study uses both quantitative data as well as qualitative data collected through focus group discussions to understand the issue at hand. The study found a large disparity among the sample respondents in the matter of land ownership and that ownership of wetlands determine the livelihood activity of only a few. Majority of resource users depend on fishing as their major livelihood activity and a drifting of people away from agriculture was evident. The study also looks into the sustainability of wetland related occupations. The reluctance of the younger generation to engage in wetland related occupations was also revealed.
|
| Keyword |
Wetland resources, ecosystem services, sustainable livelihood
|
|
| Paper ID |
IJIFR/V13/E7/022
|
| Author |
K. Priyanka, Assistant professor, A.V.P College of Arts and Science
R. Akilandeshwari, A.V.P College of Arts and Science
|
| Paper Title |
A Study on Financial Performance Analysis of Tata Motors Limited
|
| Subject Category |
Commerce
|
| Abstract |
This study evaluates the financial performance of Tata Motors Limited over the period FY 2020– 23 to FY 2024–25 using ratio analysis, comparative analysis, and SWOT analysis. The analysis focuses on key indicators such as liquidity, solvency, profitability, and return on investment to assess the company’s financial health. Findings reveal that Tata Motors has achieved strong revenue growth and profitability recovery, supported by increased passenger and electric vehicle sales and contributions from Jaguar Land Rover. However, challenges remain in terms of weak liquidity, high debt levels, and fluctuating profits. The SWOT analysis highlights opportunities in the growing EV market and government support, while also identifying threats from intense competition, global market risks, and economic uncertainties. The study concludes that Tata Motors can strengthen its financial stability and long-term growth by improving working capital management, reducing debt, and leveraging opportunities in the electric mobility sector.
|
| Keyword |
Financial Performance, liquidity, solvency, profitability, return on investment, SWOT analysis
|
|
| Paper ID |
IJIFR/V13/E7/021
|
| Author |
Dr. Priyanka Kishore, Nagaland University, Kohima, nagaland
|
| Paper Title |
Teacher Educators’ Awareness of the National Education Policy 2020: An Empirical Study in Bihar, India
|
| Subject Category |
Education
|
| Abstract |
In order to adapt to the changing needs of the Indian education system in the twenty-first century, the National Education Policy 2020 represents a transformative reform framework. The policy proposes comprehensive changes in curriculum design, school education, teacher preparation, and higher education governance. Teacher educators play a crucial role in translating educational policies into classroom practices because they are responsible for preparing future teachers. Their awareness and understanding of policy provisions significantly influence the successful implementation of educational reforms. The present study examines the level of awareness of NEP 2020 among teacher educators in Bihar, India. A descriptive survey design was adopted, and data were collected from 214 teacher educators working in government and private teacher education institutions. A structured awareness scale based on key provisions of NEP 2020 was used for data collection. Both descriptive and inferential statistical techniques were employed to analyze the data. The findings reveal that teacher educators demonstrate a moderate level of awareness of NEP 2020. While most respondents are familiar with the philosophical vision and broad objectives of the policy, limited awareness was observed regarding regulatory reforms and structural changes in teacher education programmes. Significant differences were observed based on institutional type and academic qualification. The findings highlight the need for structured professional development programmes and institutional initiatives to strengthen policy awareness among teacher educators. Enhancing awareness is essential for the effective implementation of NEP 2020 and for improving the quality of teacher education in Bihar.
|
| Keyword |
NEP 2020, teacher educators, policy awareness, teacher education, educational reform, Bihar
|
|
| Paper ID |
IJIFR/V13/E7/020
|
| Author |
K. PRIYANKA, AVP COLLEGE OF ARTS AND SCIENCE
R. AKILANDESHWARI, AVP COLLEGE OF ARTS AND SCIENCE
|
| Paper Title |
A STUDY ON FINANCIAL PERFORMANCE OF TATA MOTORS LIMITED
|
| Subject Category |
|
| Abstract |
This paper conducts an in-depth financial performance analysis of Tata Motors Pvt. Ltd. over a five- year period from FY2020 to FY2025, focusing on profitability, liquidity, solvency, and operational efficiency. A midst economic recovery and industry transformation, Tata Motors achieved remarkable financial progress, transitioning from losses in FY20 to robust profitability in FY25. Key indicators like revenue, net profit, and return on equity showed marked improvement, while the company successfully reduced its debt burden. However, liquidity ratios remained below optimal levels, indicating potential short-term financial stress. The research uses ratio analysis, trend analysis, and comparative financial statements derived from audited financial reports. Strategic recommendations are offered to improve liquidity, enhance transparency through segmental reporting, and sustain leadership in the electric vehicle segment.
|
| Keyword |
Tata Motors, financial performance, profitability, liquidity, solvency, electric vehicles, ratio analysis.
|
|
| Paper ID |
IJIFR/V13/E7/019
|
| Author |
Subit Dutta, Assam University Diphu Campus
|
| Paper Title |
Role of Universities in imparting entrepreneurship education in Assam
|
| Subject Category |
Commerce
|
| Abstract |
Entrepreneurial universities encourage students and staff to develop skills, behaviours, and a mindset that are entrepreneurial at an individual level. Hence, it is the role of the university to provide platforms upon which students and staff experience entrepreneurship by understanding the importance of entrepreneurship and develop an entrepreneurial mindset. It may include provision of exposure to both students and staff and will expose them to different challenges that encourage them to develop entrepreneurial skills. It includes exposing them to real life problems, allowing them to interact with entrepreneurs and trainings, and may also include integration of enterprise activities in education strategies. This will help students to cope up with the real world of entrepreneurship by transforming them through learning by doing.
|
| Keyword |
Commerce, Management, higher educational institutions, transform
|
|
| Paper ID |
IJIFR/V13/E7/018
|
| Author |
Dr.T.Lavanya, Govt.Degree College , Sircilla, Dist.Rajanna Sircilla. Telangana
|
| Paper Title |
Bridging the Emplyoment gap the role of skilling and entrepreneurship in economic development
|
| Subject Category |
Commerce
|
| Abstract |
The persistence of the employment gap across both developing and developed economies has become a critical concern, driven largely by technological advancements, globalization, demographic shifts, and structural inequalities in labor markets. As traditional occupations evolve or disappear, the mismatch between available skills and emerging job requirements continues to widen. This paper examines the pivotal role of skilling and entrepreneurship as strategic tools for reducing unemployment and fostering sustainable economic development. Skilling—through vocational training, competency-based education, digital literacy, apprenticeships, and continuous professional development—serves as a foundation for enhancing employability and preparing individuals for dynamic labor-market demands. Simultaneously, entrepreneurship offers a pathway for individuals not only to create their own employment but also to generate jobs for others, thereby stimulating innovation, competitiveness, and local economic growth.
The paper highlights how integrated approaches that combine skill development with entrepreneurial support systems are essential for bridging the employment gap. Successful global examples demonstrate that when governments, private institutions, and educational bodies collaborate to provide quality training, financial resources, mentorship, and supportive policies, individuals are better equipped to participate in productive economic activities. This synergy strengthens human capital, promotes inclusive growth, and enhances economic resilience. Challenges such as limited access to training, inadequate funding, socio-cultural barriers, and weak institutional frameworks are identified as obstacles that must be addressed to maximize impact. The study concludes that sustained investment in both skilling initiatives and entrepreneurial ecosystems can transform labor markets, empower
|
| Keyword |
Employment gap, Skilling, Economic development, Human Capital, Work force development, job creation, inclusive growth
|
|
| Paper ID |
IJIFR/V13/E7/017
|
| Author |
Ms. K. KOUSALYA, M. Com., M. Phil., Assistant professor A. V. P COLLEGE OF ARTS AND SCIENCE
B. VISHNUPRIYA , M. Com, II nd M. Com . A. V. P COLLEGE OF ARTS AND SCIENCE
|
| Paper Title |
A STUDY ON CONSUMER SATISFACTION TOWARDS NESTLE PRODUCTS A SPECIAL REFERENCE TO TIRUPUR CITY
|
| Subject Category |
Marketing
|
| Abstract |
This study focuses on analysing consumer satisfaction towards o Nestle products a special reference to Tirupur city. Nestle is one of the leading food and beverage companies in the world, offering a wide range of products such as dairy items, beverages, confectionery and nutrition products. The main objective of the study is to understand consumer preference, satisfaction levels, and factors influencing the purchase of Nestle products. The study helps to understand consumer preferences, satisfaction level and challenges that maintaining product quality , improving promotional strategies and ensuring customers loyalty..
|
| Keyword |
Keywords: Consumer satisfaction, Marketing strategy, customer preference, Brand loyalty.
|
|
| Paper ID |
IJIFR/V13/E7/016
|
| Author |
Ms. K.KOUSALYA, AVP COLLEGE OF ARTS AND SCIENCE
Ms.K.JANANI, AVP COLLEGE OF ARTS AND SCIENCE
|
| Paper Title |
A Study of customer satisfaction level towards Lakme products with special reference in Tirupur city
|
| Subject Category |
PG - M.COM PROJECT
|
| Abstract |
This study focuses on the Customer satisfaction plays a crucial role in determining the success and sustainability of cosmetic brands in the competitive beauty industry. This study focuses on analyzing the level of customer satisfaction towards Lakmé products with special reference to Tirupur city. The primary objective of the study is to understand consumer perception, preferences, and satisfaction regarding the quality, price, availability, and effectiveness of Lakmé products. The study concludes that maintaining product quality and enhancing marketing strategies can further improve customer satisfaction and brand loyalty in Tirupur city.
|
| Keyword |
customer satisfaction , brand image,loyalty,product quality
|
|
| Paper ID |
IJIFR/V13/E7/014
|
| Author |
Sulochana Devi, K J Somaiya Institute of Technology
|
| Paper Title |
A Comparative Evaluation of Regression-Based Machine Learning Models for Daily Maximum Temperature Prediction and Heatwave Assessment
|
| Subject Category |
Machine Learning
|
| Abstract |
Accurate prediction of daily maximum temperature is important for understanding and assessing heatwave risk, particularly in regions where extreme heat poses growing environmental and public health concerns. This study presents a comparative evaluation of five regression-based machine learning models—Linear Regression, K-Nearest Neighbours (KNN), Support Vector Regression (SVR), Random Forest, and XGBoost—for daily maximum temperature prediction and heatwave assessment. The methodology was designed around a temperature-based framework in which daily maximum temperature (Tmax) was used as the primary input variable, followed by pre-processing, lag-based feature preparation, chronological train-test splitting, model development, and performance evaluation. The predictive ability of the models was assessed using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and the coefficient of determination (R²). The results show a clear performance difference among the five models. Linear Regression produced the weakest results, with an MAE of 2.41°C, MAPE of 7.12%, RMSE of 3.08°C, and R² of 0.837. KNN and SVR improved the prediction accuracy, while the ensemble models performed best overall. Random Forest achieved an MAE of 1.76°C, MAPE of 5.21%, RMSE of 2.31°C, and R² of 0.912, whereas XGBoost outperformed all other models with the lowest error values and the highest fit, recording an MAE of 1.69°C, MAPE of 4.96%, RMSE of 2.18°C, and R² of 0.928. These findings indicate that nonlinear ensemble-based methods are more effective than simpler linear and distance-based models for this prediction task. The study concludes that XGBoost provides the most reliable performance for temperature-based heatwave assessment and may serve as a practical model for short-term extreme heat analysis.
|
| Keyword |
Daily Maximum Temperature, Heatwave Assessment, Machine Learning, Xgboost, Random Forest, Support Vector Regression, Tmax Prediction, Temperature Forecasting
|
|
| Paper ID |
IJIFR/V13/E7/013
|
| Author |
Mr.REXEN JACOB R, Govt.KNM ARTS AND SCIENCE COLLEGE KANJIRAMKULAM
Dr. SAJU K NAIR, ZAMORINS GURUVAYURAPPAN COLLEGE KOZHIKODE
|
| Paper Title |
NAVIGATING THE CARE FOR ELDERLY IN FISHING COMMUNITY KERALA: A STUDY AMONG OLDER PERSONS WITH VULNERABILITY IN HEALTH AND ECONOMY IN COASTAL REGION THIRUVANANTHAPURAM
|
| Subject Category |
SOCIOLOGY
|
| Abstract |
ABSTRCT
Today the world has been experiencing the proportion of old age citizens (above 60 years) in India constitutes 8.6% of the total population (60 million). About 25% of this population currently resides in old age homes across India due to various reasons. The reasons may be social, economic, cultural and familial grounds. The present living conditions of elderly in old age homes are not commendable. But these institutions are providing a cherishing memory and address the vulnerabilities of elderly regarding economy and health conditions. It has been found from research that the setting of old age homes and the employees influence the welfare of the residents and their health care. Despite various services provided, researchers have found that service gaps exist among staff and residents of old age homes s a witnessing issue. In the present scenario, it is the need to address and understand the living standards of the older persons in old age homes, in coastal regions of the country and to study the various services offered by them and how the residents spend their lives there in order to better their conditions of living with considering their economic and health vulnerabilities. The main objectives of the present study include 1. To identify demographic profile of older persons in coastal regions of Thiruvananthapuram District 2. To analyse the vulnerability of older persons in coastal areas in Thiruvananthapuram in Kerala 3. To analyse the health problems and its vulnerabilities associated with older persons. 4.To examine the economic dimensions of vulnerabilities of older persons in fishermen community and their social security/support mechanism. The study was based on mixed research methodology and structured interview schedule and guide was used to collect the data from the respondents Thiruvananthapuram coastal regions, Kerala. The analysis of the data shows that vulnerabilities of the older persons: physical disabilities, heath problems, emotional problems, lack of support from children and family members.
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| Keyword |
KEYWORDS: Older persons, Coastal area, vulnerability, institutional support
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| Paper ID |
IJIFR/V13/E7/012
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| Author |
Dr. Dipmala Bhawal, Gangarampur B.Ed. College
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| Paper Title |
Women’s Political Participation: An analysis of Challenges and Prospects.
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| Subject Category |
Education
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| Abstract |
A healthy and prosperous democracy includes women’s as an essential element in political sphere. It ensures that woman’s voices, perspectives, and experiences are represented in decision making process. Their dauntlessly engagement in politics like voter, leaders, and policymakers, they contribute to more balanced and equitable policies that address the needs of the citizens. Although, women in West Bengal often witnesses various obstacles such as social stereotypes, limited access to resources, personal attack and institutional challenges that restrict their participation in politics. Despite all these obstacles women’s are increasingly taking part in political movement, leadership roles, and governance. In this investigation the methodology followed by the researcher is analytical and evaluative. It will analyze the need of women’s political participation along with the challenges in modern time faced by the women’s to engage themselves in political field. The study will also evaluate the reality prospects of women’s political engagement in West Bengal at current scenario. Women’s political participation not only promotes gender equality but also strengthens democratic institutions and above all improves the quality of governance. Greater representation of women in politics helps to create more inclusive policies related to education, social welfare, health, finance and human rights.
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| Keyword |
Women; Political Participation; Challenges; Reality; West Bengal
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| Paper ID |
IJIFR/V13/E7/008
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| Author |
P. V. NANDHINI, Assistant Professor, UG Department of Commerce CA, Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu
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| Paper Title |
A STUDY ON PROBLEM FACED IN AGRICULTURAL CREDITS BY FARMERS
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| Subject Category |
Commerce
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| Abstract |
Agricultural credit is considered as one of the most basic inputs for conducting all agricultural development programmes. In India, there is an immense need for proper agricultural credit as Indian farmers are very poor. From the very beginning, the prime source of agricultural credit in India was moneylenders. The main objective of the study is to identify the impact of covid, to find out about awareness and preference of consumers for agricultural credit, to identify the beneficiaries of government scheme and to identify the problems faced by farmers to avail credit for agriculture. Convenience sampling method has been adopted to determine the sample size. A total of 120 farmers are taken as sample of the study. The study makes use of statistical techniques such as simple percentage and chi-square. The finding of the study is to the government should focus on and to support the farmers by giving more credits with some subsidies and low interest rate.
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| Keyword |
Covid Impact, Agricultural Credit, Government Scheme Beneficiaries, Farmers Problems
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| Paper ID |
IJIFR/V13/E7/007
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| Author |
Dr Kavitha K S, S N College , Kollam
Dr Berny B Raj, TKMM College, Nangiyarkulangara
Dr A Rajasekaran, S N College , Kollam
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| Paper Title |
Awareness of Citizen about various E-Governance Initiatives- The role of Social Attributes – A study in the context of Kerala
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| Subject Category |
Commerce
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| Abstract |
While considering the socio economic development of various regions of the country, Kerala can be considered as a pioneer state which has achieved a high social development . Various e-governance projects has been planned and implemented in the state after the implementation of NeGP( National E governance plan)in 2005 which aims at enhancing, accessibility and transparency of e governance and thereby enhance the efficiency of administration which helped Kerala to be first India’s first digital state. Numerous studies has been conducted for analysing and evaluating the performance and achievements of Kerala E governance system , but research which focus on the socio-economic attributes or determinants of citizens which has contributed in the development of e governance initiatives has not been made. The major aim of the present study is to explore and analyse the socio-economic profile of citizens who availed e-governance services across Kerala by studying various variables such as their age, income education , religion etc. The study reveals that highly educated and high income group are more utilizing the privilege of e governance rather than persons having lower standard of living .
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| Keyword |
E Governance , Social attributes . NeGP
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| Paper ID |
IJIFR/V13/E7/006
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| Author |
Dr. B.PRABAKARAN, GOVERNMENT COLLEGE OF EDUCATION, PUDUKKOTTAI
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| Paper Title |
EFFECTIVENESS OF MOBILE LEARNING IN ENGLISH AMONG MIDDLE SCHOOL VISUALLY CHALLENGED STUDENTS IN PUDUKKOTTAI DISTRICT
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| Subject Category |
EDUCATION
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| Abstract |
Mobile learning has become accessible to nearly everyone, as most individuals possess at least one mobile phone regardless of social status or income level. It enables learners to access educational content anytime and anywhere. In recent years, learning English through mobile applications has gained popularity, particularly for vocabulary development and pronunciation practice, where digital tools can provide repetitive and consistent input. The objective of this study was to examine the effectiveness of mobile learning in English among visually challenged middle school students in Pudukkottai district. The research adopted a single-group experimental design consisting of a pre-test, post-test-1, and post-test-2. The sample comprised 10 visually challenged students from a middle school in Pudukkottai. The InstaReader mobile application was used as the intervention tool, and academic achievement tests were administered to measure learning outcomes. For data analysis, ANOVA with a post hoc test (Bonferroni test) was employed to interpret the results. The findings revealed that: (i) There was no significant difference between the pre-test and post-test-1 (p = 0.783 > 0.01). (ii) There was a significant difference between the pre-test and post-test-2 (p = 0.000 < 0.01). (iii) There was a significant difference between post-test-1 and post-test-2 (p = 0.000 < 0.01). The study concludes that repeated exposure and frequent practice through mobile learning significantly enhance English learning among visually challenged students.
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| Keyword |
Effectiveness, Mobile Learning, English, Middle Schools, Visually Challenged Students and Pudukkottai District.
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| Paper ID |
IJIFR/V13/E7/005
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| Author |
Merin Jose, PAVANATMA COLLEGE,MURICKSSERY
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| Paper Title |
Sustainable Banking: Building a Greener and Fairer Financial Future
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| Subject Category |
BANKING
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| Abstract |
Sustainable banking has become a transformative approach in the global financial system, aiming to align banking operations with environmental protection, social responsibility, and ethical governance. Unlike traditional banking models focused on profit maximization, sustainable banking incorporates Environmental, Social, and Governance (ESG) principles into financial decision-making, credit allocation, and risk assessment. This paper explores the evolution of sustainable banking from early green banking initiatives to modern ESG-driven frameworks. It delves into key aspects such as green banking practices, responsible lending, ESG integration, and their impact on sustainable banking outcomes, including financial stability, environmental performance, and social inclusion. Research indicates growing regulatory support, heightened stakeholder expectations, and mounting empirical evidence showing that sustainability-focused banking enhances long-term institutional resilience, reputation, and climate-aligned development. In summary, sustainable banking is seen as a vital path toward creating a more environmentally friendly and equitable financial future.
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Sustainable banking,Green banking,Environmental sustainability,ESG integration,Responsible lending,Climate finance,Financial stability,Sustainability outcomes
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| Paper ID |
IJIFR/V13/E7/003
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SREEKUTTY B S, GOVERNMENT COLLEGE FOR WOMEN, THIRUVANANTHAPURAM
Dr.VINOD G, GOVERNMENT COLLEGE FOR WOMEN, THIRUVANANTHAPURAM
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| Paper Title |
Understanding Green Consumerism among Youth: A Quantitative Study
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| Subject Category |
Marketing-Commerce
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| Abstract |
Increasing concern for environmental sustainability and health has prompted consumers to reassess their consumption habits, resulting in the emergence of green consumerism. This concept reflects the conscious choice of eco-friendly products to minimise the adverse environmental impacts of consumption. While previous studies have largely focused on general consumer awareness and the relevance of adopting eco-friendly products, limited attention has been given to the key factors influencing green consumerism among youngsters. Young consumers tend to follow value-driven consumption patterns shaped by specific underlying factors. This study looks at the main factors influencing green consumerism among young people. It will assess their awareness levels, consumption habits, motivation, and perceived obstacles. A quantitative approach is employed to analyse the influence of these factors on young consumers' purchasing decisions. The study hypothesises that awareness, peer pressure, and socio-cultural influences positively affect green consumerism, whereas cost, lack of knowledge, greenwashing, and convenience act as barriers. The findings should give policymakers, marketers, and sustainability advocates useful information to close the attitude-behavior gap and encourage young consumers to adopt eco-friendly habits.
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| Keyword |
Green Consumerism, Eco-friendly Products, Youth Consumption Behaviour, Environmental Awareness
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| Paper ID |
IJIFR/V13/E7/002
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| Author |
Sharma V, GCA
Malik P, GCA
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| Paper Title |
Impact of various threats responsible for the enhancement of cybercrime and understanding the effectiveness of security technologies to consolidate the cybercrime incidents associated with networked information systems
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| Subject Category |
Computer Engineering
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| Abstract |
This research study is based on analysis of the responses to the survey questionnaire, which was Internet based delivery via e-mail as well as information collected personally through Information technology professionals. Moreover, to authenticate the analytical results & findings, data has been collected from the National Technology Readiness Survey, Business Software Alliance, Electronic Privacy Information Center (EPIC), The e-commerce firm, CERT-CC (Computer Emergency Response Team Coordination Center), the Software & Information Industry Association (SIIA), Computer Security Institute, CCRDU, Delhi; Cyber Crime Research Center, and visiting various authentic statistics sites and going through various cybercrime reports. As well researcher interviewed & discussed personally various organizations and individuals/ households who access the internet during the period of research. This paper discusses current and emerging forms of computer-related illegality. It reviews various factors and vulnerabilities responsible for the enhancement of cybercrime that affects the different organization which is related with network systems and to identify and consolidate the cybercrime incidents associated with networked information systems, and to formulate an approach to evaluate illegality involving information systems as instruments or as targets of crime.
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| Keyword |
National Technology Readiness Survey, Business Software Alliance, Electronic Privacy Information Center (EPIC), The e-commerce firm, CERT-CC (Computer Emergency Response Team Coordination Center)
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| Paper ID |
IJIFR/V13/E7/001
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| Author |
Sharma V. K., GCA, Haryana
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| Paper Title |
Increasing the network longevity by distributing energy consumption in the network.
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| Subject Category |
Computer Engineering
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| Abstract |
I proposed an on-demand power management framework targeting generic ad hoc networks. To achieve reduced energy consumption while maintaining effective communication, our framework integrates routing information from on-demand ad hoc routing protocols and power management capabilities from the MAC layer. Energy conservation is achieved by judiciously turning on and off the radios of specific nodes in the network. The novelty of our framework is that such power management decisions are driven by active communications in the network. For the purpose of energy conservation, connectivity is only maintained between pairs of senders and receivers and along the route of data communication. In our research work, we will design and propose an extensible on-demand power management framework for ad hoc networks that adapts to traffic load. We will implement a prototype of our framework in the ns-2 simulator that uses the IEEE 802.11 MAC protocol. We have proposed a new energy-efficient ad hoc on-demand routing protocol that balances energy load among nodes so that a minimum energy level is maintained among nodes and the network life increases. We focused on increasing the network longevity by distributing energy consumption in the network.
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| Keyword |
ad hoc on-demand, routing protocol , energy conservation,
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