Volume 13 | Issue 4 |

 Abstract

The Bhagavad Gita, an integral part of the Mahabharata, has had a profound influence on literary traditions across cultures. This research paper examines the philosophical and spiritual impact of Western literature, with a particular focus on T.S. Eliot's modernist poetry. The study highlights how the Gita's central themes--such as spiritual desolation, moral duty, self-realization, and the cyclical nature of time--resonate within Eliot's seminal works, The Waste Land and Four Quartets. Scholars, including Tasmiyah Ahmed, Rajib Majumdar, and Shikha Shukla, have examined how Eliot integrates Gita-inspired notions of detachment, existential struggle, and divine realization into his poetry. Comparative analyses reveal striking parallels between Arjuna's moral crisis and Eliot's portrayal of a fragmented, spiritually barren world seeking redemption. Additionally, this paper investigates the influence of Hindu philosophy on English Romantic poets, such as William Blake and Samuel Taylor Coleridge, emphasizing how the Gita's doctrines of emanation, reincarnation, and divine unity shaped their poetic expressions. Through a critical engagement with these literary influences, this study underscores the enduring relevance of the Bhagavad Gita in shaping philosophical discourse within Western literature.

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 Keywords

Bhagavad Gita, T.S. Eliot, Modernist Poetry, Philosophical Influence, Western Literature, Spiritual Crisis

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Creative Commons Attribution 4.0 and The Open Definition

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Priority-Based Traffic Signal System optimizes emergency response times by reducing the delays typically caused by urban traffic congestion. By utilizing real-time data, it adjusts traffic signals in real-time, ensuring that ambulances have a clear route by turning signals red at intersections. This system, designed to address critical delays, has the potential to save lives and could be further enhanced as it is expanded to larger areas.

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 Keywords

IoT, Emergency Response, Traffic Management, Real-Time Data Processing, traffic flow clearance System, Ambulance Priority, Smart Cities.

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, we introduce the so-called (1,2)gr-compactness in bitopological spaces. In particular, several inferred properties of the (1,2)gr-compact spaces and their connections with bitopological spaces are studied using (1,2)gr-closed sets.

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 Keywords

(1,2)gr-closed sets, (1,2)gr-continuous maps, (1,2)gr-irresolute, (1,2)gr-compactness.

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Creative Commons Attribution 4.0 and The Open Definition

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This study investigates the impact of a twelve-week structured training program on speed and flexibility in secondary school male hockey players. An experimental design was used with 50 male participants (aged 14-17 years) from Government school students of Davanagere district divided into experimental (n = 25) and control (n = 25) groups. The experimental group followed a structured regimen, while the control group continued routine activities. Speed (50-meter dash) and flexibility (Sit and Reach Test) were assessed pre- and post-training. Paired t-tests showed significant improvements (p < 0.05) in the experimental group, highlighting the effectiveness of systematic training. Future research should explore additional motor fitness variables.

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 Keywords

Motor fitness, speed, flexibility, structured training, experimental design, hockey players.

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Creative Commons Attribution 4.0 and The Open Definition

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E-commerce has witnessed rapid advancements over the past decade, particularly in the post-COVID era. The increasing competition in the sector and the emergence of new technological innovations have compelled e-commerce businesses to integrate artificial intelligence (AI) to maintain a competitive edge. AI encompasses a range of technologies that enable machines to mimic human cognitive functions, offering solutions with higher levels of intelligence. This includes the use of machine learning algorithms, natural language processing, computer vision, and advanced tools such as virtual try-ons, AI-powered shopping assistants, and automation, all of which have significantly transformed consumer shopping experiences by enhancing recommendation systems and personalizing user interactions. Beyond improving user engagement, AI also provides businesses with opportunities to enhance operational efficiency, boost sales, and reduce costs through innovations in inventory management and supply chain optimization. This paper examines emerging trends in AI technologies within e-commerce, highlights their key benefits, and discusses challenges such as implementation costs, privacy concerns, and algorithmic biases. Addressing these challenges is crucial for ensuring the successful deployment of AI in the rapidly evolving e-commerce landscape.

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 Keywords

Artificial Intelligence, E-Commerce, Online Businesses, AI Trends, AI Tools

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Investment is a slow and gradual process which provides high return over a period of time, selecting appropriate path plays pivotal role in the growth of assets. Generation Z is the backbone of the economy. The study aim to investigate the investor awareness and investment portfolio of GenZ of Mumbai Metropolitan Region(MMR) with the primary information gathered from 244 respondents, also secondary data help is taken to aid knowledge of investing habits of GenZ. There are many benefits of investing such as it helps to cope up inflation, retirement planning, liquidity, tax benefit, diversification, wealth accumulation etc. The data analysed by applying Z Test: Two Sample for Means , p-value is 0 which is < 0.05 where study shown awareness of investment avenues have impact on investors preference. Also study found Gen Z investors are more interested for higher return than retirement planning. Social media has also played significant role in advising to Gen Z investors for assortment of investment as per need of hour.

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Investment Awareness, Gen Z, MMR, Investment behaviour.

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The article basically focus on how the federal relation affected by foreign policy making and implementing by centre taking its constitutionality defined prerogative under various constitutional provision. In past, ruling government in New Delhi often ignores the local dynamism while making and implementing the foreign policy. However with the increasingly influence of the states government in foreign policy-making and is mostly due to development of twin fact i.e., liberalization of Indian economy in 1990 and rise of regional politics, the smaller state-based parties started to play a role in national politics at the centre. India do have case where centre-regional party conflict over foreign policy (in case of Sri Lanka and Bangladesh) often overshadow the implementation of coherent national foreign policy discrepancies and with the change of Government in Delhi, governments seems to finding it important to engage in domestic deal making for the successful actualization of their foreign policy agenda as it reflect from the creation States Division within the Ministry of External Affairs by the present ruling government in New Delhi

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foreign policy, paradiplomacy, constitution, federalism, praxis

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Creative Commons Attribution 4.0 and The Open Definition

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For people lacking technical knowledge, natural language searching significantly increases data access. Knowledge of database architecture and the particular language linked with conventional SQL retrieval techniques could impede the efficient use of data. By combining LangChain and LangSmith, this project builds an NL2SQL (Natural Language to SQL) framework converting user queries into comparable SQL statements. Advanced natural language processing (NLP) technologies (Huang et al., 2021) used by the system allow smooth interactions across several database schemas, management of complicated queries including joins and aggregations, and exact interpretation of user intent. Given the model's architecture for generating cross-database code, it is vital to emphasize that the only database backends accessible for implementation are MySQL, PostgreSQL, and SQLite. By reducing dependence on technical teams, the proposed approach speeds up decision-making.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural language processing, LangChain, LangSmith, data democratization, machine learning, query optimization, SQL query generation

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Creative Commons Attribution 4.0 and The Open Definition

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Plant diseases are a major problem for agricultural products, they directly impact the quality of crops and yield. It is necessary to detect these diseases as soon as possible to take the appropriate actions and to minimize potential losses. This study focuses on developing an automated plant disease detection system using image processing techniques used along with machine learning and deep learning algorithms. Furthermore, the study discusses the challenges involved in plant disease detection, such as variations in leaf color, shape, size, and environmental conditions, which can affect the performance of the algorithms. Strategies for overcoming these challenges, such as data augmentation and transfer learning, are also explored to enhance the system's adaptability and accuracy across diverse plant species and diseases.

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Convolutional Neural Network; Leaf Mold; Bacterial Spot; Early Blight; Late Blight; Mosaic Virus; Plant Disease Classification.

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The fishing community in Ramanathapuram District faces significant socio-economic, environmental, and occupational challenges. This study examines key issues such as income instability, financial constraints, market exploitation, and health risks that impact their livelihoods. Fluctuating fish prices, middlemen dominance, and limited access to financial aid push many fishermen into economic insecurity. Government subsidies and welfare programs are often inaccessible due to bureaucratic hurdles and poor implementation, leaving the community without adequate support.Occupational hazards remain a pressing concern, with fishermen exposed to unsafe working conditions, physical injuries, and musculoskeletal disorders. Climate change further aggravates their difficulties by reducing fish populations, altering fishing patterns, and increasing extreme weather events. While marine conservation policies aim to protect ecosystems, they often restrict access to traditional fishing zones, threatening fishermen's incomes. Financial constraints also hinder the adoption of modern fishing technologies, limiting their ability to adapt to changing conditions. Health risks, including inadequate medical facilities and psychological stress due to economic instability, further impact their well-being. Poor infrastructure, such as insufficient transportation and storage facilities, leads to additional financial losses. Despite the availability of government welfare programs, ineffective policy implementation prevents many from accessing these benefits.This study highlights the urgent need for targeted interventions, including financial support, fair market access, improved safety measures, and sustainable fishing practices. Strengthening fishermen's representation in policymaking, investing in modern fishing technologies, and implementing disaster risk reduction strategies can help secure their future. Addressing these challenges holistically is crucial to ensuring both the well-being of the fishing community and the sustainability of the fisheries sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fishermen community, occupational hazards, climate change, financial instability, sustainable fisheries

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Creative Commons Attribution 4.0 and The Open Definition