Recent Articles

Sanketkumar Babubhai Vachhani, Dr. Dineshkumar Ramjibhai Chavda  ·  International Journal of Economics and Business Management  ·  10 Jul 2026

Environmental disclosure has become an integral component of corporate reporting, particularly in environmentally sensitive sectors such as pharmaceuticals and chemicals, where business operations entail significant environmental impacts. This study examines the environmental disclosure practices of a selection of Indian companies using an Environmental Disclosure Index (EDI). The analysis is based on secondary data gathered from the annual reports and Business Responsibility and Sustainability Reports (BRSR) of six companies: Sun Pharmaceutical Industries Limited, Cipla Limited, Dr. Reddy's Laboratories Limited, Aarti Industries Limited, Navin Fluorine International Limited, and Vinati Organics Limited for the 2025–2026 fiscal year. The results reveal that all selected companies achieved the maximum score on the Environmental Disclosure Index, indicating comprehensive environmental reporting. The study concludes that environmental disclosure practices have become largely standardised due to regulatory initiatives, specifically the BRSR framework. Furthermore, the findings suggest that company-specific factors exert limited influence on disclosure levels within a regulated reporting environment, highlighting the growing role of mandatory sustainability reporting in enhancing corporate transparency, accountability, and environmental governance.

Shivanand R Koppalkar  ·  International Journal of Computer Science and Artificial Intelligence  ·  10 Jul 2026

Small businesses sustain nearly half of U.S. private-sector employment, yet a meaningful share of the loans that fund them end in charge-off, and conventional underwriting rarely captures the nonlinear ties among industry, loan structure, and geography that drive that risk. This study predicts and explains default on U.S. Small Business Administration (SBA) 7(a) guaranteed loans using the structural fields the agency itself records, and translates the findings into pricing, oversight, and program-design guidance for lenders, SBA program managers, and policymakers. The work pairs five inferential statistical tests with five tailored supervised classifiers, one pair per research question, so that each hypothesis earns both inferential and predictive evidence. Statistical methods span chi-square with Cramer V, logistic regression with likelihood-ratio and ANOVA tests, a two-proportion z-test, and a Cox proportional-hazards survival model; the machine learning line-up adds XGBoost, LightGBM, Random Forest, and a multilayer perceptron neural network. Data come from the SBA FOIA public portal: two loan-level 7(a) extracts totalling 903,617 rows and 44 columns covering FY2010 through FY2025. After harmonization, duplicate removal, outlier winsorization, and a final-status plus FY2018 filter, the labeled working sample holds 132,459 loans at an 8.84 percent default rate, with six engineered features (NAICS sector, term and loan-size buckets, guarantee percentage, cross-state flag, and disbursement lag). The pipeline runs in Python on CPU using pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels, SciPy, lifelines, and seaborn. On the held-out test partition the LightGBM rate-structure model leads with AUC-ROC of 0.9703 and PR-AUC of 0.8420, far above the 8.84 percent prevalence baseline, while every model exceeds 0.93 AUC-ROC and reaches up to 92 percent recall on the rare default class. Four of five nulls are rejected; cross-state loans default at roughly twice the same-state rate. The calibrated risk insights can be embedded in lender loan-pricing and approval workflows and in SBA portfolio-monitoring dashboards as a complement to traditional credit underwriting.

Harshitaben Dineshbhai Suva, Dr. Dineshkumar Ramjibhai Chavda  ·  International Journal of Economics and Business Management  ·  09 Jul 2026

The digital transformation of India's tax system, which involves online GST platforms, online income tax return filing, TDS/TRACES systems, and digital payments linked to UPI, has substantially changed how people and businesses deal with taxing authorities. Following the PRISMA procedure, this work provides a methodical literature review (SLR) of scholarly and administrative publications on digital tax literacy in India. From a curated pool of 214 records obtained from governmental/institutional publications, scholarly working papers, and journals listed in Scopus, Google Scholar, SSRN, and UGC-CARE, 34 research articles published between 2012 and 2026 were chosen. The review is organised thematically around six domains: conceptual foundations, the digital tax ecosystem, demographic determinants, barriers and the digital divide, government initiatives, and compliance outcomes. The findings show that although younger, urban, and salaried taxpayers have a substantially higher degree of digital tax literacy, people living in rural areas, small enterprise owners, and older taxpayers still face significant obstacles relating to awareness, access, and trust. The paper concludes with a proposed research plan and recommendations for policy for improving digital tax literacy throughout India's taxpayer segments.

Dr. Kumaraswamy Mora  ·  International Journal of Economics and Business Management  ·  09 Jul 2026

Concept: “Viksit Bharat 2047” represents the aspirations of the Indian government to achieve the status of a fully developed and competitive country by the centenary of its independence. However, to attain the supercilious goal of Viksit Bharat. Objectives: To analyse structural planning, socio-economic, technological, and environmental challenges would have to be overcome for the Indian development path. Focus: This paper is going to identify the significant challenges that may impact India’s role to the Viksit Bharat 2047 vision. Crucial Areas: Strategic planning, inclusive growth, technology, and sustainable development would play a crucial role in addressing the challenges and achieving the objectives of the Viksit Bharat 2047 vision. Outcome: The analytical study concludes that in the form of stating the achievement of the Viksit Bharat 2047 vision would require the intensive efforts of the government, the private sector, civil society, and the citizens of India.

Dr. G Madan Mohan  ·  International Journal of Technology and Emerging Research  ·  09 Jul 2026

Involvement of participants in India’s financial market is witnessing a drastic change with the digitalisation of investment platforms. Fintech amenities, digitalised brokerage facilities and mobile transaction apps have resulted in a major change in the pattern of investment by investors. Nevertheless, the digitalisation process has not been inclusive for visually impaired (VI) investors. Previous studies have concentrated on usage of banking and digital payments by VI. However, not much attention has been accorded to exploring the difficulties encountered by VI while investing in the capital markets. This research has used qualitative Case Study approach to examine the experiences of six VI investors in accessing the electronic investment platforms while making investments and possible approaches to overcome such challenges. Data collected through an in-depth interview of the six VI investors has been analysed thematically applying Capability approach in the backdrop of UTAUT model. The study has exposed that VI investors confront KYC and documentation complexities along with unapproachable platforms, complicated by visual charts and analytics while trying to venture into capital market. These complexities affect the investment decision-making of the VI investors due to aggravated acuity about risk of losing their investment. Consequently, these VI investors tend to have vigilant approach during their initial investment period. However, they also display strong learning capability, subtleness and adaptability by starting their investment on avenues such as index fund, mutual fund and exchange-traded fund which require minimum dependence on visuals. This study has added the new dimension of investing in capital market to the concept of financial inclusion for VI. The study is of valuable utility to digital investment-aiding agencies to suitably design their websites and platforms well accessible for VI investors. Further, regulatory bodies such as SEBI can start redefining their role towards transforming the capital market more inclusive and accessible for VI

Arshad Bhat  ·  International Journal of Economics and Business Management  ·  09 Jul 2026

In Maharashtra, India, for the past 20 years, the state of Maharashtra has seen a large number of farmers committing suicide, as this leads to a large number of deaths of people who are working on farms. This study identifies multiple variables that cause this situation to happen and what are the reasons for farmers from Maharashtra, India to commit suicide. This study also focuses on a number of socio-economic, environmental, and psychological aspects of the reasons that cause farmers to commit suicide. An analysis of the data collected was conducted from a random sample of 161 farmer families, and the data collected by the Office of the Divisional Commissioner and other departments of the state of Maharashtra. The data collection process consisted of face-to-face interviews and a structured, pre-tested interview schedule. The authors of this research used the Suicidal Tendency Model, as well as performed a dummy variable regression analysis, in order to evaluate how the above-mentioned factors and variables affect farmers' suicidal tendencies. Research indicates that agrarian distress, joblessness, and inadequate government assistance are the most important predictors of farmer suicides. A complete model was created to better understand these predictors and how they relate to one another, which can explain 76.4% (R² = 0.764) of the variance observed in farmer suicide rates. The results support a strong statistical validity (F = 7.215, p < 0.001) of the findings. Additionally, the results indicate that a multi-faceted approach to addressing the issue of farmer suicide is necessary, such as creating more beneficial economic policies, increased mental health support for farmers, developing stronger safety nets for families and communities, as well as implementing targeted programs and solutions to address the agrarian crisis. Additionally, the data collected in this research indicate that if farmers were able to manage their finances appropriately, they would have more supports available to them and be more successful in their farming careers.

Bhashkar Biswas, Dr. Tariq Siddiqui  ·  International Journal of Technology and Emerging Research  ·  08 Jul 2026

The increasing number of online job applications has made candidate screening a time-consuming and challenging task for recruiters. Manual evaluation of resumes often requires significant effort and may lead to inconsistencies in candidate selection. To address these challenges, this paper presents an Automated Resume Screening System developed using Natural Language Processing (NLP) techniques. The proposed system automates resume analysis by extracting skills from PDF resumes, comparing them with job descriptions, and supporting recruitment decision-making through intelligent candidate evaluation. The system provides separate functionalities for recruiters and job seekers through an interactive web-based interface. Recruiters can upload candidate resumes and job descriptions to evaluate candidate suitability, while job seekers can receive job recommendations based on their extracted skills. The proposed system utilizes SpaCy-based NLP techniques, including tokenization, lemmatization, stop-word removal, and text preprocessing, to identify relevant skills from resumes and job descriptions. It subsequently calculates a resume-job match score, identifies matched and missing skills, classifies candidate suitability, and recommends appropriate job roles. The proposed solution has been implemented using Python and deployed as an interactive web application using Streamlit. Experimental evaluation demonstrates the effectiveness of the system using standard performance metrics, including accuracy, precision, recall, F1-score, and average processing time. By automating resume screening and candidate evaluation, the proposed framework reduces manual effort, improves recruitment efficiency, and demonstrates practical application of NLP techniques in intelligent recruitment systems.

Badal Tanwar  ·  International Journal of Medical and Health Sciences  ·  06 Jul 2026

Parkinson's disease (PD) is a progressive neurodegenerative disorder defined by the selective loss of dopaminergic neurons in the substantia nigra pars compacta. Although oxidative stress and neuroinflammation are widely accepted as core pathological drivers, no disease-modifying pharmacotherapy is currently available. The Nrf2/Keap1/ARE signaling axis represents a pivotal endogenous cytoprotective mechanism and an attractive therapeutic target. Withania somnifera (Ashwagandha) and Amomum subulatum (Large Cardamom) individually exhibit neuroprotective properties; however, their combined potential through Nrf2 modulation has not been systematically explored.

अर्चना राणा  ·  International Journal of Technology and Emerging Research  ·  06 Jul 2026

झारखंड का छोटानागपुर पठार भारतीय उपमहाद्वीप के उन विशिष्ट क्षेत्रों में सम्मिलित है जहाँ प्राकृतिक परिदृश्य, आदिवासी सांस्कृतिक विरासत, धार्मिक आस्थाएँ तथा ऐतिहासिक अनुभव एक दूसरे से गहराई से जुड़े हुए हैं। उत्तरी एवं दक्षिणी छोटानागपुर क्षेत्र, जिनमें रांची, रामगढ़, हजारीबाग, गुमला, सिमडेगा, खूंटी, गिरिडीह एवं लातेहार जैसे जिले सम्मिलित हैं, पर्यटन की दृष्टि से अत्यंत संभावनाशील माने जाते हैं। हाल के वर्षों में परिवहन अवसंरचना के विकास, डिजिटल माध्यमों द्वारा प्रचार तथा राज्य सरकार की पर्यटन नीतियों के कारण इस क्षेत्र में पर्यटकों की संख्या में उल्लेखनीय वृद्धि हुई है। हालाँकि, पर्यटन के तीव्र विकास ने पर्यावरणीय क्षरण, जैव-विविधता पर दबाव, आदिवासी सांस्कृतिक परंपराओं के व्यवसायीकरण तथा स्थानीय समुदायों को सीमित लाभ जैसी समस्याओं को भी जन्म दिया है। इस संदर्भ में सतत पर्यटन की अवधारणा विशेष महत्व रखती है, जो आर्थिक विकास, सामाजिक समावेशन और पर्यावरणीय संरक्षण के बीच संतुलन स्थापित करने पर बल देती है। यह शोध-लेख उत्तरी एवं दक्षिणी छोटानागपुर क्षेत्र में पर्यटन विकास के सांस्कृतिक, सामाजिक, आर्थिक एवं पारिस्थितिक आयामों का समग्र विश्लेषण प्रस्तुत करता है। अध्ययन का उद्देश्य यह स्पष्ट करना है कि किस प्रकार समुदाय-आधारित एवं सहभागी पर्यटन मॉडल अपनाकर आदिवासी संस्कृति के संरक्षण, प्राकृतिक संसाधनों की सुरक्षा तथा स्थानीय आजीविका के सशक्तिकरण को एक साथ सुनिश्चित किया जा सकता है। द्वितीयक स्रोतों एवं पूर्ववर्ती अध्ययनों के विश्लेषण के आधार पर यह लेख निष्कर्ष प्रस्तुत करता है कि सतत पर्यटन ही छोटानागपुर क्षेत्र में दीर्घकालिक और संतुलित विकास का सबसे प्रभावी मार्ग है।

Ms. Janarthika M  ·  International Journal of Technology and Emerging Research  ·  06 Jul 2026

Yann Martel's Life of Pi delves deeply into the connections between travel, trauma, survival, and psychological change. Pi Patel, a small child left stranded in the Pacific Ocean following a horrific shipwreck, is the protagonist of the book. The story offers a thorough examination of emotional fortitude, spiritual awakening, and inner transformation even if it seems to concentrate on physical survival. This essay examines how Pi's voyage across the ocean develops into a process of self-discovery and existential knowledge using psychological and humanistic methodologies. Pi gradually gains psychological fortitude and emotional maturity via fear, loneliness, pain, and faith. The paper goes on to examine how travel serves as a metaphor for human development and identity formation in addition to being a means of physical mobility. The paper makes the case that Pi's external trip mirrors a deeper inside journey toward self-realization by examining symbolic themes including the ocean, Richard Parker, loneliness, and storytelling. In the end, the research shows that Life of Pi portrays travel as a human experience that may change awareness, beliefs, and emotional identities.

Redwan Ahmed  ·  International Journal of Law, Politics and Governance  ·  05 Jul 2026

Since 1970’s Environmental Law has been struggling in reconciling two divergent forces i.e., economic development and environmental protection. Environmental Impact Assessment (EIA) has emerged as a means to achieve sustainable development which requires environmental issues to be taken into consideration in every development project or industrial unit. This article undertakes a doctrinal analysis of the legal regime regulating EIA in Bangladesh. Begging with a conceptual examination of EIA as an anticipatory, participatory and sustainable environmental management tool it makes a comprehensive examination of different stages of EIA procedure in Bangladesh. In addition, it compares these stages with other well established EIA systems including European Union, United Kingdom, India. After exploring relevant legislations, rules, guidelines, reports, book chapters, research articles and other secondary sources it claims that the EIA system of Bangladesh suffers from the substantive, procedural, transactive and normative defects. The findings add to the ongoing discussion about environmental governance. They also offer recommendations for legal and regulatory changes to improve the EIA system in Bangladesh and support the goals of sustainable development.

KRUTI DOSHI, Ripal Fadiya, Dhruvil Brahmbhatt  ·  International Journal of Technology and Emerging Research  ·  05 Jul 2026

Plastic waste accumulation, particularly polyethylene, poses a significant environmental challenge due to its recalcitrant nature and persistence in ecosystems. The present study aimed to isolate, characterize, and evaluate polyethylene‑degrading bacteria from municipal dumpsite soils collected from Kalol (Gandhinagar) and Pirana (Ahmedabad), Gujarat, India. Soil samples were enriched in mineral salt medium (MSM) supplemented with polyethylene as the sole carbon source, followed by isolation and characterization of bacterial strains using morphological, biochemical, and molecular approaches. Two bacterial isolates were obtained and identified through Gram staining, biochemical profiling, and 16s rRNA gene sequencing as Bacillus paramycoides and Pseudomonas aeruginosa. Biochemical analysis revealed distinct metabolic capabilities, with Pseudomonas aeruginosa exhibiting stronger metabolic activities associated with polymer degradation. In weight‑loss assays, Bacillus paramycoides and Pseudomonas aeruginosa caused 3.59 ± 0.01 % and 4.85 ± 0.24 % mass loss of polyethylene films, respectively, after 90 days of incubation in MSM. FTIR analysis confirmed the appearance of new oxygen‑containing functional groups on the polymer surface after bacterial treatment, indicating oxidative degradation of polyethylene. These findings demonstrate that municipal dumpsite soils are valuable reservoirs of polyethylene‑degrading bacteria and highlight the potential application of Bacillus paramycoides and Pseudomonas aeruginosa in eco‑friendly plastic waste management strategies.

manne dineshkumar  ·  International Journal of Medical and Health Sciences  ·  05 Jul 2026

Nephrotic syndrome and diabetic nephropathy represent two of the most prevalent and clinically significant causes of chronic kidney disease worldwide. Nephrotic syndrome, defined by massive proteinuria (>3.5 g/day), hypalbuminaemia, oedema, and hyperlipidaemia, encompasses a spectrum of primary and secondary glomerulopathies. Diabetic nephropathy, the leading cause of end-stage renal disease globally, arises from complex interplay of haemodynamic, metabolic, and inflammatory mechanisms in the setting of diabetes mellitus. This review provides a detailed examination of the pathophysiology, clinical presentation, diagnostic approach, and current evidence-based management strategies for both conditions. We discuss the key histopathological features distinguishing the two entities, their shared risk factors, and emerging therapeutic targets including SGLT2 inhibitors, endothelin receptor antagonists, and mineralocorticoid receptor antagonists. Understanding these conditions is critical for nephrologists, endocrinologists, internists, and primary care physicians to improve patient outcomes and slow progression to end-stage renal disease.

MUKASA KABIRI, Afeke Elvis Dela, Okyere Jocelyn, Patrick Akwasi Wajah, Sabina Akua Dzidenu, Mabel Madewe Addah  ·  International Journal of Technology and Emerging Research  ·  05 Jul 2026

Background Malaria in pregnancy remains a leading cause of maternal and neonatal morbidity in sub-Saharan Africa. Insecticide-treated nets (ITNs) are a cornerstone preventive intervention, yet utilization among pregnant women remains suboptimal despite widespread distribution. Understanding the specific knowledge, socio-demographic, health system, and household-level factors that determine whether pregnant women use ITNs consistently is essential for designing effective targeted interventions. This study assessed these factors among pregnant women attending antenatal care (ANC) in the Kintampo North Municipality of the Bono East Region of Ghana. Methods A facility-based, descriptive cross-sectional study was conducted among 355 pregnant women attending ANC at three purposively selected health facilities in the Kintampo North Municipality. Participants were recruited consecutively using convenience sampling. Data were collected using a structured, interviewer-administered questionnaire covering knowledge of ITNs, socio-demographic characteristics, health system factors, and household-level factors. Knowledge was classified as good, fair, or poor. ITN use was classified as regular (sleeping under an ITN every or most nights) or irregular. Data were analyzed using Epi Info; chi-square tests assessed associations between independent variables and regular ITN use, with statistical significance set at p < 0.05. Results The majority of respondents (84.2%) demonstrated good knowledge of ITN use in pregnancy, while regular ITN utilization was reported by 67.6% indicating a significant knowledge–practice gap. A statistically significant association was found between knowledge level and regular ITN use (χ² = 9.59, df = 2, p = 0.01), with regular use highest among women with good knowledge (70.6%) and lowest among those with poor knowledge (20.0%). Among socio-demographic factors, only the number of ANC visits was significantly associated with ITN use (χ² = 13.71, p = 0.001): women with more than four visits had the highest regular usage (75.2%). No health system factor reached statistical significance, though women rating health worker education as excellent had the highest usage (74.0%) and those reporting consistent ITN supply had 5.0 percentage points higher usage. Among household factors, structural feasibility, having adequate physical space to hang an ITN — was the only significant predictor (χ² = 4.35, p = 0.037), with 68.7% regular use among women with sufficient space versus 50.0% among those without. Conclusions While knowledge of ITN use is high among pregnant women in the Kintampo North Municipality, a substantial knowledge–practice gap persists. ANC frequency and household structural feasibility are the key modifiable predictors of consistent use. Interventions should prioritize increased ANC attendance, ITN hanging infrastructure support at household level, and sustained supply chain reliability, alongside continued investment in high-quality health worker counselling during ANC visits.

FALGUNI DESAI  ·  International Journal of Arts, Culture and Creative Studies  ·  04 Jul 2026

Ancient Indian Vedas and classical literature unfold a diversity of subjects, including skilled medical practices, ethno-holistic healing practices, and the science of therapeutic art. Vedic literature and its appendix are very vast. The paper is a deliberation in Indian holistic healing in a way exploring some ancient Indian wellness views. During the pandemic era, the world knew the importance of ‘Prana’- oxygen. The study discusses the aspect of the healing notion of Vedic wisdom keeping in the spotlight the collective cosmic wellness and individual holistic well- being. The methodology of this research is reviewing literature and analysis. Holistic healing, commune with our relationship with the natural world, where individual consciousness is transmuted into collective positive cosmic energy resulting into individual wellness and cosmic well - being.

Dr. Gurusharan Kaur, Shivani Khare, Neelansh Jain  ·  International Journal of Education, Pedagogy and Psychology  ·  01 Jul 2026

The COVID-19 pandemic caused an unprecedented disruption in the education system worldwide, forcing a sudden transition from traditional classroom learning to online modes of education. This research paper analyses three major phases of student learning: pre-COVID (traditional learning), during COVID (online learning), and post-COVID (blended/hybrid learning). The study focuses on changes in learning methods, growth in online education (in percentage terms), and the impact of these changes on students’ mental health. The findings reveal a significant rise in online learning adoption during and after the COVID-19 pandemic, along with mixed psychological effects on students, including increased stress, improved adaptability, and enhanced digital competence

Dr. B. Patra, Santosh Kumar Bharti  ·  International Journal of Technology and Emerging Research  ·  30 Jun 2026

Innovation in the English teaching-learning process focus on shifting from traditional, rigid methodologies to personalized, dynamic, and tech-driven frameworks. By integrating Artificial Intelligence (AI) and evidence-based pedagogy , educators create inclusive, adaptable environments that boost student engagement, communicative competence, and real-time feedback. The objectives of Paper discuss; Modern English Language Teaching (ELT) is continually reshaped by several key research areas and innovations: 1. Technological Integration and AI • AI-Assisted Teaching: AI analyzes individual student progress, offering customized content, real-time error correction, and adaptive learning paths. • Digital Platforms & VR: Mobile apps, virtual reality, and hybrid classroom tools redefine accessibility, allowing learners to practice in immersive contexts. • Gamification: Incorporating points, quests, and competitive elements helps sustain learner motivation, particularly when building vocabulary. 2. Learner-Centered Methodologies • Project-Based and Problem-Based Learning: Shifts focus from passive listening to active communication, where students use English to complete real-world tasks and solve problems. • The Flipped Classroom: Students study new grammar or vocabulary at home through digital lectures and use class time for interactive, communicative activities. • CLIL (Content and Language Integrated Learning): Integrates language learning with subject-matter instruction, helping students learn academic content and English simultaneously. 3. Evolving Pedagogical Trends • Multilingual Approaches: Research acknowledges the value of L2 (second language) teachers and the practice of transliterating—using a student's full linguistic repertoire as a resource for learning. • Focus on Competence over Grammar: Curricula now prioritize discourse and sociolinguistic competence, teaching students how to communicate appropriately depending on context and cultural norms. • Task-Based Language Teaching (TBLT): Uses practical, meaningful tasks as the core unit of lesson planning rather than rote mechanical drills. 4. Teacher Professional Development (CPD) • Reflective Practice & Research: Teacher education emphasizes that educators should act as lifelong learners and knowledge generators. • Action Research: Educators actively study their own classroom dynamics and student outcomes to interactively improve their teaching strategies.

Anshu, Parminder Singh, Dr. Naveen Dhillon  ·  International Journal of Technology and Emerging Research  ·  30 Jun 2026

Starfruit (Averrhoa carambola) is a commercially important tropical fruit that is highly susceptible to various diseases, including anthracnose, fruit borer infestation, and bed bug damage, which significantly reduce yield and quality. Early and accurate detection of these diseases is essential for effective crop management and sustainable agricultural production. This study presents a deep learning-based approach using a custom Convolutional Neural Network (CNN) model for automated classification of starfruit diseases from image data. The proposed model is trained on a dataset comprising multiple classes, including Carambola Anthracnose Disease, Carambola Bed Bugs Disease, Carambola Fruit Borer Disease, Healthy Fruits, and Healthy Leaves. The CNN architecture is designed to efficiently extract spatial features and perform high-precision classification. Extensive experimentation shows that the model achieves exceptional performance with an accuracy of 99.80% and a near-zero loss, demonstrating highly stable learning and excellent generalization capability. The results indicate perfect or near-perfect classification across all categories, highlighting the robustness of the proposed model. This work confirms that custom CNN-based systems can significantly enhance automated plant disease detection and provide an effective solution for precision agriculture, enabling early intervention and improved crop health management.

Miss. Kiran Ravindra Manole., Dr.Saurabh R. Prasad., Dr. Shrinivas A. Patil  ·  International Journal of Technology and Emerging Research  ·  25 Jun 2026

This paper presents the design, development, and performance evaluation of a Smart Job Distribution and Quality Verification System built for small-to-medium manufacturing environments. The system merges RFID-based operator authentication, microcontroller-driven conveyor control, real-time ultrasonic detection, USB camera-based image acquisition, OpenCV classical inspection, and YOLOv5 deep-learning defect detection into a single, cohesive platform. A private dataset named Job QC Dataset, comprising 640×480 JPEG images annotated with Label Image and split 70/15/15 for training, validation, and testing, was used to train the YOLO model on Google Colab. Performance metrics including precision, recall, F1 score, and confusion matrix are reported. The system achieved a mean Average Precision (mAP@0.5) of 91.3%, with a precision of 0.934, recall of 0.887, and an F1 score of 0.910 on the test partition. These results confirm the viability of the proposed hybrid inspection framework for industrial deployment.

Dr. B. Patra, Sangam Singh  ·  International Journal of Technology and Emerging Research  ·  25 Jun 2026

This research project conducts a comparative and translation-based inquiry into the representation of social injustice within Indian literature, focusing on Mulk Raj Anand’s Untouchable (1935) and Gajanan Madhav Muktibodh’s Vipatra (1964). The study examines the evolution of the "Social Gaze"—the mechanism by which society monitors and marginalizes the individual—shifting from the physical caste boundaries of pre-independence India to the bureaucratic alienation of the post-colonial era. Central to this project is an original English translation of Muktibodh’s Vipatra from its source Hindi. Utilizing Michel Foucault’s theory of the "Panopticon" and Lawrence Venuti’s framework of "Foreignization," the research argues that the structures of oppression have not vanished but have transitioned from the external village street to the internal institutional office. The study concludes that the "unworthy" individual in modern bureaucracy is a direct psychological successor to the "untouchable" figure of the past.