Volume 13 | Issue 2 |

 Abstract

The analysis provided in this paper acts as a guide for self-exploration. Demian by Hermann Hesse goes beyond typical psychological fiction. It tells the story of the writer's journey and mirrors the experiences of anyone confronting an existential crisis. This paper explores the discovery of individual uniqueness that distinguishes us from others. The process of discovering our true selves can be quite challenging, as it is not a fabricated tale but rather the authentic narrative of an individual navigating the daily struggles of youth in a relentless pursuit of survival. This paper aims to dismantle the conventional notion of humanity in Hesse's Demian novel. While human beings may not consistently exemplify the virtues of goodness, they nonetheless align themselves with the deity 'Abraxas'. We possess the capacity for both positive and negative traits within ourselves. The ideal world represents a realm of illumination, where individuals embrace utopian perspectives, while the shadows, symbolizing the inner voice, reflect a more somber reality. The analysis of Demian demonstrates that individuals can uncover their authentic selves by accepting their own shadow. Acknowledging the inherent duality of good and evil within us leads to the understanding of the 'self'. This paper seeks to advance the traditional perspective of the ideal human being and to investigate the intricacies of good and evil.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The analysis provided in this paper acts as a guide for self-exploration. Demian by Hermann Hesse goes beyond typical psychological fiction. It tells the story of the writer's journey and mirrors the experiences of anyone confronting an existential crisis. This paper explores the discovery of individual uniqueness that distinguishes us from others. The process of discovering our true selves can be quite challenging, as it is not a fabricated tale but rather the authentic narrative of an ind

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Human infections caused by pathogens transmitted from fish or the aquatic environment. The bacterial diseases are caused mainly due to contaminated water and sea foods The bacterial flora of marine fish, sediments and sea water has been studied all over the world Aquatic ecosystems have a diversity of microbial population particularly heterotrophic microbes. Bacterial numbers are plenty in coastal waters, reflecting a higher concentration of nutrients, which results from land runoff and other sources like sewage discharges. The objective of this study is, therefore, to quantify the levels of Total Heterotrophic Bacteria in the fish landing centre of Kadiyapatnam at Kanyakumari District.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Heterotrophic Bacteria, fish landing centre, contamination

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: With the rapid growth of e-commerce, providing seamless and efficient customer support has become crucial for businesses. Conversational AI, powered by advanced Natural Language Processing (NLP) and Machine Learning, is revolutionizing customer service by enabling real-time, context-aware interactions. Traditional rule-based chatbots often struggle with dynamic queries and fail to deliver personalized responses. This project aims to develop an intelligent e-commerce chatbot that leverages Machine Learning models and Transformer-based architectures, to generate human-like responses while understanding user intent and sentiment. The chatbot will assist customers in order tracking, product recommendations, FAQs, refunds, and other support tasks. By integrating sentiment analysis, the system can adapt its responses based on user emotions, enhancing engagement and satisfaction. This AI-driven approach ensures improved efficiency, reduced operational costs, and a seamless shopping experience, making it a valuable asset for modern e-commerce platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Conversational AI, E-commerce Chatbot, Customer Service, Natural Language Processing (NLP), Transformer, Sentiment Analysis, Context-Aware Responses, Virtual Assistant, Order Tracking, Product Recommendation, User Experience, Neural Networks, Human-Computer Interaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the problem of water pollution has become increasingly critical, affecting ecosystems, wildlife, and human health. Rivers, as vital freshwater resources, often suffer from litter and waste that accumulate, leading to harmful consequences. Assessment of water quality over the years revealed that in the year 2015, 70% of rivers monitored (275 out of 390) were identified as polluted whereas, in the year 2022, only 46% of rivers monitored (279 out of 603) are identified as polluted. This solar-powered, Arduino-controlled cleaning robot represents a sustainable and scalable approach to addressing water pollution, with the potential for large-scale deployment in both urban and rural water bodies. The feasibility, performance, and potential impact of the robot are evaluated, with suggestions for future improvements to increase its efficiency and adaptability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar power, Arduino, pH sensor, Ultrasonic sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract- Lean Manufacturing is a concept which is systematically aimed at reducing waste and maximize the productivity so as to enhance the production efficiency in Industrial processes. It is extracted from the esteemed Toyota Production System (TPS). The principles of lean manufacturing aim at tracing out and nullifying non-value-adding activities and thereby to optimize its workflow. The quality of production can be enhanced and thereby increase the profit along with customer satisfaction. The various tools of lean manufacturing involve Just in Time manufacturing,5S concept for housekeeping, Kaizen or continuous improvement, VSM etc. This study aims at finding this concept's impact on various aspects like manufacturing costs, functional efficiency and customer satisfaction. Also, the study explores the various challenges in its implementation and the methods for its fruitful adoption. The findings of this study emphasize on the role of lean manufacturing in continuous improvement and withstanding the today's highly competent market scenario.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: KAIZEN, Value Stream Mapping (VSM), 5S concept, Toyota Production System (TPS), Just-in-Time (JIT) etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Periodontal disease, Spongiotic hyperplasia, Necrotizing Ulcerative Gingivitis, Fibromatosis, Hyperkeratosis, Papillon-Lefevre Syndrome

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a comprehensive review of Structural Health Monitoring (SHM) techniques for bridges, focusing on the latest advancements in sensor technology, data acquisition systems, and analytical methods. It explores various SHM approaches, including vibration, strain, temperature, and displacement monitoring, while highlighting the role of machine learning and artificial intelligence in anomaly detection and failure prediction. The review also discusses the challenges and future trends in SHM implementation, emphasizing the potential of these technologies to improve bridge safety, extend service life, and optimize maintenance strategies. This study aims to provide insights for researchers and practitioners seeking to advance SHM practices in infrastructure management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Structural Health Monitoring, Strain Gauge

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Random number generation is a critical component in various applications, including cryptography, secure communication, and scientific simulations. This paper presents a novel high-speed True Random Number Generator (TRNG) leveraging chaotic systems and Artificial Neural Networks (ANNs) implemented on a Field Programmable Gate Array (FPGA) platform. The proposed design utilizes the inherent unpredictability of chaotic systems to ensure high entropy and randomness, while the ANN enhances the quality and uniformity of the generated random numbers through adaptive learning and error correction. The FPGA implementation ensures real-time processing, high throughput, and scalability, making the system suitable for resource-constrained and high-performance applications. Comprehensive statistical analyses, including the NIST SP800-22 and Diehard tests, confirm the robustness and randomness of the generated numbers. Additionally, the proposed TRNG demonstrates superior performance compared to conventional methods in terms of speed, power efficiency, and randomness quality. This work advances the state-of-the-art in TRNG design by integrating chaos theory, machine learning, and hardware optimization, paving the way for secure and efficient random number generation in modern computing systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Random Number Generators, Artificial Neural Networks (ANNs), Field-Programmable Gate Arrays (FPGA), modern computing systems.

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Creative Commons Attribution 4.0 and The Open Definition

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In the current landscape, both companies and educational institutions rely heavily on manual processes to validate student academic credentials, which can be susceptible to fraudulent verification through bribery or manipulation by employees. Some universities have attempted to address this issue by maintaining student credentials in centralized servers. However, these centralized systems are not foolproof, as internal database administrators can manipulate data, leading to potential security breaches and service disruptions. To overcome these challenges, we propose a Blockchain-based student credential verification system. Blockchain inherently supports data verification, encryption, and distributed data storage. By storing data in a decentralized manner across multiple nodes, the system ensures resilience in case of node failures, providing uninterrupted services. Blockchain's built-in tamper-proof features involve storing each data record as a block or transaction, associating it with a unique hash code. When new records are added, the Blockchain verifies the hash codes of all previous blocks. If the data remains unchanged, the hash codes match, resulting in successful verification. Any attempt to alter data would lead to a hash code mismatch, triggering a verification failure and detection of data tampering

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Creative Commons Attribution 4.0 and The Open Definition

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Streamlining Credential Verification for Hiring Process with Blockchain Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tribal art has long been recognized as a powerful repository of cultural identity, historical memory, and community cohesion. Across various indigenous groups, women often play a critical role in sustaining these artistic traditions, navigating the delicate balance between preserving ancestral customs and responding to social change. This article investigates the role of women in preserving Godna art, a distinctive tattoo- and body-art-based tradition, among the Santhal tribe of eastern India. The study identifies how women act as both custodians and innovators of Godna art. They maintain customary motifs and techniques while simultaneously adapting them to contemporary tastes, thereby ensuring their ongoing relevance. However, women practitioners face several challenges in preserving this vital art form. The dominance of modern fashion trends has led some younger generations to perceive Godna art as archaic, resulting in diminished interest in traditional designs. Furthermore, socio-economic constraints, coupled with limited institutional support, pose obstacles to the sustainable practice of Godna. In some cases, the patriarchal social structures and cultural norms constrain women's mobility and entrepreneurial opportunities, thereby creating barriers to the transmission of skills. Despite these challenges, this study uncovers that many Santhal women remain resilient, employing adaptive strategies such as forming cooperative groups or using digital platforms to reach broader audiences. By examining the interplay between cultural heritage, gendered responsibilities, and modern socio-economic pressures, this research offers fresh insights into the survival of tribal arts in a rapidly transforming society. The findings underscore the crucial role played by Santhal women in safeguarding Godna as both a traditional and evolving form of expression, illuminating how indigenous artistic practices can endure when communities are equipped with the necessary agency, resources, and institutional backing. In conclusion, this article advocates for context-specific policy measures and community-based initiatives aimed at enhancing women's artistic autonomy and preserving tribal heritage.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tribal art, Godna, Santhal tribe, Women's role, Cultural preservation, Indigenous traditions, Gender studies

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Creative Commons Attribution 4.0 and The Open Definition