Volume 13 | Issue 4 |

 Abstract

Nostalgia-driven food-related companies in South India are reviving forgotten childhood favorites, bringing back traditional sweets and snacks that once held a particular place in people's recollections. In addition to classic candies like Mango Bite, treats like Javvu Mittai (pulling toffee), Thaen Mittai (sugar syrup candy), Kadalai Mittai (peanut chikki), Nela Kadalai Urundai (groundnut balls), Kamarakattu (jaggery and coconut candy), Pottukadalai Urundai (roasted gramme balls), and Ellu Urundai (sesame seed balls) are making a big a comeback. Consumers, particularly millennials and Gen Z, are drawn to these products not only for their nostalgic value but also for their natural ingredients and traditional flavors. To preserve South India's rich culinary legacy and bring these traditional treats back to a younger audience, startups are utilizing digital marketing, e-commerce platforms, and sustainable packaging. This study looks at how these companies are influencing consumer preferences in the changing food industry, the effects of nostalgia marketing, and the difficulties of bringing discontinued products back to life.

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 Keywords

Nostalgia marketing, South Indian snacks, traditional candies, food startups.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Managing multiple insurance policies from various providers often leads to missed renewals and policy lapses due to the absence of a centralized tracking system. To address system, propose the Policy Renewal Reminder System (PRRS)--a user-centric platform that consolidates all insurance policies in one secure location. PRRS streamlines policy management by providing automated, time-based renewal alerts and integrated payment options, ensuring timely renewals and continuous coverage. Unlike fragmented insurer-specific reminders, PRRS reduces administrative burden and minimizes lapse risks. It enhances user convenience and supports insurers by improving customer retention. Future upgrades may include AI-driven predictive reminders and broader insurer integrations for improved personalization and interoperability. By simplifying insurance tracking and automating key processes, PRRS offers a comprehensive solution for seamless, reliable policy management.

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 Keywords

renewal system, automated notifications, tracking tools, payments, admin dashboard

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Herbal syrup is prepared by adding concentrated decoction of herbs with either honey or sugar and we also use alcohol. The herbal syrup is made by decoction process. Mixing a decoction of herbs with sugar it helps to the formulation for thicken and preserve the formulation1. Most of herbal syrup was originally derived from plant herbal medicine refers to use of extract of leaves, fruit for medicinal purpose. The anti-pyretic syrup is used for fever management, offering relief from high temperatures while addressing inflammation and oxidative damage. The extraction of Ivy Gourd, Ginger, Tulsi is used for medicinal purpose. In this Ivy Gourd used as anti-pyretic, Ginger as anti-inflammatory and Tulsi as anti-oxidant while Fennel used as flavoring agent and black pepper used as preservative. Three formulation viz. F1, F2 and F3 were prepared with variation in quantity of ingredient like sugar, black pepper and final volume of syrup. All prepared formulation was by parameters like density, specific gravity, organoleptic characteristics. The results shown that herbal syrup formulation number F3 is more stable and elegant as compared to other formulation.

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 Keywords

Herbal syrup, Ivy Gourd, Ginger, Tulsi, Fennel, Evaluation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The exponential growth of e-commerce has revolutionized global commerce, offering convenience and accessibility to consumers worldwide. However, this digital transformation has been accompanied by a surge in online payment fraud, posing a significant threat to businesses and consumers alike. Traditional rule-based fraud detection systems are increasingly inadequate against sophisticated and evolving fraudulent techniques. Machine learning (ML) has emerged as a powerful paradigm shift in fraud detection, offering the ability to learn complex patterns, adapt to dynamic fraud landscapes, and proactively identify fraudulent transactions in real-time. This paper explores the critical role of machine learning in online payment fraud detection. It delves into the various machine learning techniques employed, including supervised, unsupervised, and deep learning approaches, highlighting their strengths and limitations. The paper further examines the essential data pre-processing steps, feature engineering strategies, and evaluation metrics crucial for building robust and effective fraud detection systems. Moreover, it discusses the challenges and future directions in this dynamic field, emphasizing the ongoing need for innovation to stay ahead of increasingly sophisticated fraudsters in the evolving digital payment ecosystem. Ultimately, this paper underscores the transformative potential of machine learning in safeguarding online transactions and fostering a more secure and trustworthy e-commerce environment.

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 Keywords

Payment Fraud, Fraud Detection, Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning, Feature Engineering, Data Imbalance, Real-time Detection, Cybersecurity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial distress is a situation where a company is not able to meet or face difficulty to pay off its financial obligations. According to RBI's definition negative working capital, cash loss and negative networth are the factors influencing Distresses. There are lots of causes of corporate failure which includes Profitability, Liquidity and solvency complications. Bankruptcy prediction models are among the techniques and tools for predicting future status of companies which can estimate the bankruptcy probability by compounding a set of financial ratios. This research paper has attempted to device models for predicting probability of financial distresses among the PSUs working under the Engineering sector in Kerala. In order to evaluate the ratios that can influence group status and quantify their connection, Multiple Logistic Regression analysis tool is used. The main uses of logistic regression are that prediction of group membership and provide knowledge of the relationships and strength among the variables.

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 Keywords

Financial Distress, Logistic Regression, Liquidity Tribulations, Full-blown distress, logistic regression, cash profit, sick, RBI

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The coir industry plays a significant role in the rural economy of Tamil Nadu, particularly in Pollachi Taluk of Coimbatore District, which is a prominent hub for coir-based activities. Despite its traditional relevance and employment potential, the sector continues to face a multitude of production-related challenges that hinder its growth and sustainability. This study aims to identify and analyze the key production problems encountered by coir units in Pollachi Taluk. Primary data was collected through structured questionnaires and interviews with coir unit owners, workers, and local industry stakeholders. The findings reveal that the sector suffers from issues such as irregular raw material supply, out-dated machinery, shortage of skilled labor, high cost of production, limited access to finance, and environmental constraints. Additionally, lack of technological innovation and inadequate government support further exacerbate the operational difficulties. The study emphasizes the need for targeted policy interventions, improved infrastructure, and capacity-building initiatives to revitalize the coir industry in the region. Addressing these production problems is crucial for enhancing productivity, generating employment, and ensuring the long-term sustainability of this traditional rural industry.

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 Keywords

Coir production, Production problems, Fibre.

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Creative Commons Attribution 4.0 and The Open Definition

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Hydrological modelling plays a crucial role in understanding the predicting water cycle dynamics, which is essential for effective water resource management. This review paper provides a comprehensive overview of the current state of hydrological modelling, with a focus on geosciences-based approaches, remote sensing application, and GIS integration. We discuss the benefits and challenges of using remote sensing data in hydrological modelling, including the potential for improved parameter estimation and model calibration. The paper also explores the role of GIS in water resource management, highlighting its capabilities in spatial analysis, data integration and visualization. Furthermore, we examine the classification of hydrological models and their applications in various context. Finally, we identify the challenges for hydrological modelling, emphasizing the need for increased integration of geosciences, remote sensing, and GIS to improve model accuracy and predictability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hydrological modelling, geosciences, remote sensing, GIS, water resource management

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Creative Commons Attribution 4.0 and The Open Definition

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A current sociological perspective examines the health status of migrant workers. Migration is defined as the movement from one place to another to meet the necessities of life. Migration is a phenomenon that occurs in situations such as war, invasion, famine, etc. This study highlights how the socio-economic factors, conditions and access to health care of migrant workers shape their overall well-being. Migrant workers, who are often engaged in demanding and low-wage jobs such as agricultural, construction and manufacturing, face increased vulnerability to health risks, including respiratory problems, occupational accidents and infectious diseases. Many migrants are left without adequate medical care or health insurance. Migrant workers face isolation, discrimination and unstable living conditions, which contribute to physical and mental health challenges. This study highlights the need for a comprehensive health policy framework. It addresses social protection for these vulnerable workers across India. Such measures are needed to improve the physical and mental health of the migrant population in a rapidly urbanizing country.

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 Keywords

Migrants, Socio-Economics, Employment, Health Status.

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Creative Commons Attribution 4.0 and The Open Definition

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The shift toward Hyperlocal delivery operations created revolutionary changes in end-point distribution of services that deliver exceptional convenience but struggle to fulfil sustainability goals. This research analyses sustainability across multiple dimensions in Hyperlocal delivery services by studying economic aspects together with environmental and social variables. Beyond enhancing operational performance and protecting the environment this research considers customer retention and satisfaction as essential growth factors for Hyperlocal businesses. The research examines how delivery reliability and personalization alongside service quality build customer loyalty through approaches which minimize carbon emissions while maximizing resource efficiency. The study analyses industry practices alongside customer behaviour and feedback mechanisms to establish new approaches which unite sustainability goals with customer-driven operations. Stakeholders can employ this complete framework to develop Hyperlocal delivery systems which are both efficient and resilient and focused on customers so they succeed for the long-term in a competitive market.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hyperlocal Delivery, Micro-Fulfillment Centers (MFCs), Sustainability, Hyperlocal Logistics, End-Mile Connectivity, Proximity-Based Inventory Management

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Creative Commons Attribution 4.0 and The Open Definition

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With the proliferation of information technology, document forgery has become a growing concern across various sectors. Traditional document verification processes are time-consuming, error-prone, and unreliable. This paper introduces DOC-BLOCK, a decentralized web application based on the Ethereum blockchain to securely verify digital documents. By leveraging cryptographic hashing, peer-to-peer storage, and smart contracts, the system ensures data integrity, transparency, and authenticity. Our model minimizes human error, reduces verification time, and offers a tamper-proof alternative to conventional methods, ensuring a future-ready approach to document verification

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Hashing, Ethereum, Document Ver ification, Digital Signature, Cryptography

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Creative Commons Attribution 4.0 and The Open Definition