Volume 13 | Issue 8 |

 Abstract

The Ahoms were an offshoot of the Shan branch of great Tai or Thai family that migrated from the Yunnan province of China in the thirteenth century and ruled Assam for about 600 years that left behind a vibrant history of their own. They build their first capital at Charaideo and since then their successors are living in and around the area. As a result many archaeological remains can be seen standing, holding the glory of the Great Ahom Dynasty. Through this paper an attempt has been made to trace the memories and document the archaeological remains that were left behind.

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 Keywords

Documentation, Garh, Moidam, Pukhuri, Deohal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The need for effective, reliable, and accurate screening methods to assist immigration authorities has been highlighted by the rise in US work visa applications in recent years. In order to predict the approval status of US visa applications, this project offers a thorough end-to-end Machine Learning Operations (MLOps) pipeline that makes use of employer and applicant data. The method uses important characteristics like education level, work experience, company size, geography, and prevailing wage to handle binary classification--certified or refused. To guarantee excellent data quality and pipeline consistency, preprocessing methods include transformation pipelines, schema validation, and Evidently AI data drift detection. In order to ensure that only the best-performing model is pushed to production, the deployment pipeline integrates GitHub Actions for Continuous Integration and Continuous Deployment (CI/CD), Docker for containerization and reproducibility, and AWS services (EC2 and ECR) for hosting and model storage. The architecture encompasses the entire MLOps lifecycle, including data ingestion from MongoDB Atlas, validation, transformation, model training with hyperparameter tuning, performance evaluation, model registry, and deployment. A user-friendly web interface developed with Streamlit and FastAPI supports real-time prediction and provides stakeholders with instant feedback. With a clear folder organization, configuration-driven design, virtual environment separation, and smooth automation, the system is expandable and modular. Important engineering concepts including model versioning, robust error handling, logging, and dynamic environment variable management are highlighted in this project. Finally, it illustrates how MLOps can improve machine learning systems' scalability, dependability, and transparency in crucial decision-making areas like immigration and law enforcement.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MLOps Pipeline(Machine Learning Operations ), CI/CD, AWS EC2, AWS ECR, Streamlit, Real-time Prediction, Data Ingestion

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In this paper, we introduce a new class of closed sets called semi generalization of generalized star closed (briefly s(gg)* - closed) sets in Topological Spaces. We study the relation of this set with some other closed sets and some of the properties have been investigated.

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Creative Commons Attribution 4.0 and The Open Definition

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s(gg)* - closed set, (gg)* - open

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Creative Commons Attribution 4.0 and The Open Definition

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Religion is a unified system of sacred norms, values, beliefs, and objects. In Indian society, religion plays a significant role in shaping people's lives, behavior, and interactions. People consult their religion in every aspect of life and act according to their teachings. However, modernization, globalization, and social change have drastically transformed all spheres of life. These changes have both positive and negative impacts on society. Modernization has also brought significant changes to India's religious institutions. The country is home to multiple religions, including Hinduism, Islam, Christianity, Sikhism, Buddhism, and Jainism. While modernization has led to greater tolerance and secularism, it has also resulted in the commercialization of religion, a decline in traditional religious practices, and a rise in sectarianism in some cases. This study examines the impact of modernization on religious institutions in India. This research highlights how factors such as urbanization, digital media, education, and economic growth are reshaping religious beliefs and practices in the region.

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Keywords: Religion, Modernization, Sectarianism, Secularism, Social Change

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT In today's digitally driven world, smartphones have become an integral part of adolescent life, particularly in urban areas. While they offer benefits in communication, learning, and entertainment, excessive use especially during night-time has raised serious health concerns. This study aims to investigate the impact of smartphone-induced sleep disruption on the risk factors associated with early-onset hypertension among urban adolescents. Using a quantitative research approach, a sample of 100 urban adolescents aged 13 to 17 years was surveyed using the Pittsburgh Sleep Quality Index (PSQI) to assess their sleep quality. Participants were categorized based on their night-time smartphone usage: those using smartphones for more than two hours at night (high users) and those using them for two hours or less (low users). Simple statistical tools such as mean, standard deviation, and independent samples t-tests were used to analyse the data. Findings revealed a significant difference in sleep quality between the two groups, with high smartphone users reporting poorer sleep. Furthermore, male adolescents demonstrated significantly higher sleep disruption scores compared to females, indicating a gender-based disparity in how smartphone use impacts sleep. The study also identified a consistent pattern between longer screen time and increased levels of sleep disturbance, a known contributing factor to hypertension. Although direct blood pressure measurement was not included in this study, the results underline the potential health risks linked to poor sleep in adolescence. The study concludes that smartphone overuse at night significantly disrupts sleep, which may indirectly increase the risk of early-onset hypertension among adolescents. This research fills a critical gap in the literature by linking digital behaviour to emerging health risks, offering a valuable foundation for health educators, parents, and policymakers to develop awareness programs and preventive strategies focused on digital wellness and adolescent health.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sleep Disruption, Adolescents, Early-Onset Hypertension, Urban Youth, Screen Time, Sleep Quality

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Creative Commons Attribution 4.0 and The Open Definition

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Women entrepreneurship is a relatively recent phenomenon that is steadily gaining momentum, driven by growing awareness of women's roles, responsibilities, and economic contributions both within the family and in society at large. However, for women entrepreneurs in India, starting and managing a business remains a significant challenge due to deep-rooted social norms and gender-based constraints. This study aims to explore the challenges and opportunities faced by women entrepreneurs, particularly in relation to financial, marketing, and production constraints. A descriptive research design was adopted for the study, with a sample of 100 respondents selected through non-probability convenience sampling in the Coimbatore District. Both primary and secondary data sources were utilized. The findings highlight the need for critical infrastructure and support systems, including access to proper workspaces, financial subsidies, raw materials, and reliable transportation facilities. It is evident that government agencies and funding institutions need to play a more proactive role in addressing these needs. Furthermore, suppliers and marketers should prioritize the promotion and distribution of products made by women entrepreneurs. The study also reveals key issues with government assistance programs, such as bureaucratic red tape, lack of timely guidance, and inadequate advisory services. To enhance the status of women-led enterprises, both government and non-governmental organizations must offer liberal support and strengthen the infrastructure and policy framework necessary for the growth of women entrepreneurship.

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 Keywords

KEYWORDS: Entrepreneurship, women, society, business, government.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract--Modern organizations generate massive volumes of security telemetry--from endpoints, network appliances, identity providers, and cloud services--making manual triage of threats infeasible. This paper presents an AI-driven framework for anomaly detection in security events that couples representation learning with streaming inference to surface rare, high-risk behaviors in near real time. We unify heterogeneous logs through a compact event schema, learn temporal and relational patterns via deep sequence models and graph encoders, and compute calibrated anomaly scores that adapt to environment drift. The system blends unsupervised methods (autoencoders, isolation- based detectors), weakly supervised signals (heuristics, watch- lists), and supervised fine-tuning when ground truth is available. We address practical challenges such as extreme class imbalance, concept drift, noisy labels, and high-latency pipelines, and we incorporate privacy-preserving and explainability mechanisms suitable for regulated settings. Experiments on mixed enterprise- like datasets show consistent gains in precision at low false- positive rate and significant reductions in mean time to detect. We release a set of implementation guidelines covering feature design, thresholding under uncertainty, and robust evaluation for security operations (SecOps) workflows.

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 Keywords

Index Terms--Anomaly Detection, Cybersecurity Analytics, Intrusion Detection, SIEM, Streaming ML, Concept Drift, Graph Learning, Explainable AI

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Fungal Classification, Deep Learning, MobileNetV3, Image Classification, Transfer Learning, Medical Image Analysis, Fungal Infection Detection, Artificial Intelligence in Microbiology, Convolutional Neural Network (CNN).

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Creative Commons Attribution 4.0 and The Open Definition

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Despite the financial security offered by home insurance, a significant proportion of homeowners in India choose not to purchase it. This study investigates the underlying factors influencing such decisions. Using a survey-based approach and statistical factor analysis, six primary determinants were identified: limited financial capacity, perceived risk, lack of trust, reliance on alternative risk management methods, psychological biases, and inadequate awareness. The findings highlight the necessity for targeted policy interventions, enhanced consumer education, and improved transparency in the insurance sector to increase adoption rates

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Creative Commons Attribution 4.0 and The Open Definition

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Home insurance, financial limitations, perceived risk, awareness, trust, behavioural factors.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper explores the intricate relationship between individual and cultural identity in post-colonial Indian English literature, with a specific focus on poetry and fiction written after India's independence. The postcolonial condition in India initiated a literary movement characterised by existential questioning, spiritual realignment, and resistance to both colonial hangovers and modern homogenisation. Indian English writers, navigating a language fraught with colonial residues, undertook the complex task of reasserting their Indian identity while participating in a global literary discourse. This paper analyses how prominent Indian English poets and novelists have responded to this cultural and linguistic predicament by blending indigenous elements with global aesthetics, creating a literary voice that is both unique and resonant. Drawing upon the works of poets such as Nissim Ezekiel, Kamala Das, Arun Kolatkar, Jayanta Mahapatra, and A. K. Ramanujan, and novelists like Arundhati Roy and Kiran Desai, this study examines how literature becomes a potent medium for reconstructing fragmented identities and cultural selfhood in a post-colonial society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity, Culture, Duality, Complexity

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Creative Commons Attribution 4.0 and The Open Definition