Volume 13 | Issue 6 |

 Abstract

Abstract: This article examines Ritesh Batra's 2013 film "The Lunchbox" through the intersecting lenses of hybrid consciousness theory and culinary studies. In contrast to the rapidly advancing, AI-driven mechanized systems of food production and standardized notions of immunity, this film presents taste as an emergent phenomenon rooted in the intuitive and imaginative faculties of the human mind. Notably, the cook has never seen the consumer, yet the taste is cultivated in a hybrid space of mutual understanding and respect. By analyzing the accidental exchange of lunchboxes between a neglected housewife and a lonely widower in Mumbai, this study explores how food transcends its material essence to become a medium of communication and connection. The dabbawala delivery system serves as both a setting of the plot and as a metaphor for the hybrid spaces where individual consciousness extends beyond the self through culinary expression. Drawing on theoretical frameworks from food studies, phenomenology and cultural theory, this article argues that "The Lunchbox" presents food as a transformative force that bridges social divides, creates intimate connections despite physical absence, and functions as an extension of consciousness across Mumbai's complex social and quite urban geography. The analysis contributes to emerging scholarship on food cinema and the philosophical dimensions of culinary practice in contemporary global contexts.

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 Keywords

Keywords: Hybrid Consciousness, Culinary Studies, Indian Cinema, Food Communication, Sensory Experience, Interpersonal Connection, Dabbawala System

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Cryptography is a fundamental means for ensuring digital information confidentiality, integrity, and authenticity. Not every encryption algorithm is that powerful and effective in design, key size, and implementation. This paper introduces a machine learning system for automatically classifying the security grades of cryptographic algorithms from encrypted image data by feature extraction. The system classifies encryption outcomes into three grades: Weak, Acceptable, and Strong, in terms of statistical and structural image features.The method begins with a set of grayscale images and color images. An image is encrypted by using one of five algorithms: AES, DES, ChaCha20, Caesar Cipher, or XOR. In order to accommodate color images, features are computed independently on RGB channels and averaged to generate homogeneous descriptors. Grayscale images are handled natively. 14 features are obtained from each encrypted image, including entropy, contrast, correlation, energy, homogeneity, PSNR, MSE, skewness, kurtosis, SSIM, edge mean, edge standard deviation, edge entropy, and edge density. These features describe the statistical complexity and structural transformations caused by encryption.For dataset labeling, feature standardization and quantile-based binning are used collectively to label every sample with a security level. This is to enable an even dataset to prevent model bias. The labeled data are utilized to train a Support Vector Machine (SVM) classification with hyperparameters optimized via grid search and cross-validation. Comparison is also made using Random Forest and XGBoost models based on performance. Feature selection tools such as SelectKBest and Recursive Feature Elimination (RFE) are also utilized to identify top contributors to classification. Experimental results show the classification accuracy of 59% with high precision and recall for highly encrypted samples. F1-scores and confusion matrices confirm model reliability. Correlation, PSNR, and entropy features are found to be strong predictors of encryption strength.This paper presents a practical and scalable solution to the evaluation of encryption effectiveness using image analysis with security audit, encryption verification, and digital forensics implications. Future work is the addition of real-time analysis support and the extension to other media formats like audio and video.

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 Keywords

Cryptography, Image Encryption, Security Level Classification, Machine Learning, Support Vector Machine (SVM), Image Analysis, Statistical Features, XGBoost, Random Forest

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 Abstract

: The textile industry in Tirupur, often referred to as the "Manchester of South India," has traditionally relied on printing methods such as screen, block, and rotary printing

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Digital Textile Printing, Traditional Printing, Color Accuracy, Employee Perception.

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An essential element of India's socioeconomic development is women's education. Due to institutional flaws, sociocultural limitations, and economic constraints, women have historically had fewer opportunities for education. Particularly in rural and deprived populations, caste-based discrimination, early marriage, and traditional gender roles continue to limit girls' access to their educational institutions. Educational disparities become harsher by economic obstacles such as poverty and the invisible costs of education. High dropout rates among girls are caused by societal issues such as poor infrastructure, substandard education, and safety concerns. Furthermore, even if programs like the Right to Education Act (2009) and others seek to increase access and quality, their effectiveness is frequently weakened by inconsistent enforcement and implementation flaws. This paper aims to establish the relationship between women's education in India and its impact on socio-economic development. Economic growth and social justice are two aspects of socio-economic development, which is a broad concept that implies an improvement in the social potential, quality, and standard of individuals and the communities in which they live. Several studies reveal that that higher the education of women, greater is their participation in decision making and they acquire progressive opinion on different issues. The social influence of women's education is substantial. Moreover, the women go beyond social responsibility and can have a positive impact on the economy. Thus, a nation's high levels of development, including its economic growth, are correlated with an increase in the number of educated women living there. Women's education also leads to women's empowerment.

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 Keywords

Women's Education, Socioeconomic Development, Educational Opportunities, Gender Disparity, Women Empowerment, Social Responsibility.

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Satisfaction is the positive emotional response of customers towards a product or service, and it is the outcome of previous experience. The present study is conducted to analyse the level of satisfaction of the customers towards the Luxury Segment of cars and to analyse the influence of the income level of customers on their level of satisfaction. For this, the respondents' satisfaction with their luxury car brands was identified based on their satisfaction with technical attributes and non-technical attributes of the car. The area of the study is limited to the Ernakulam district, Kerala. Primary data was collected from 380 luxury car owners through the snowball sampling method. Findings revealed that performance is a highly considered technical factors, while the feeling of comfort is the main factor that leads to the satisfaction of non-technical attributes. A highly significant relationship remained between the annual income of the customers and their level of satisfaction on technical attributes, whereas no such association was found between the income level of customers and their satisfaction level on non-technical attributes.

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Customer satisfaction, Luxury Car, Technical attribute, Non-technical attribute, Income class

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Business Intelligence (BI) has undergone a transformative evolution, shifting from traditional, retrospective reporting systems to advanced, intelligent platforms that leverage Artificial Intelligence (AI) technologies. This paper introduces a structured, multiagent architecture to enhance BI systems with autonomous functionalities spanning the entire data pipeline--from acquisition and processing to analytics and decision support. The proposed five-layer framework incorporates specialized AI agents for data enrichment, predictive modelling, prescriptive analytics, and user interaction. These agents work collaboratively to ensure data-driven insights are generated and delivered in real-time, facilitating agile and context-aware decision-making processes. The model is contextualized through applications across diverse business functions, including customer behaviour analysis, sales forecasting, and inventory optimization. Organizations can achieve higher analytical precision, operational efficiency, and strategic foresight through this architecture. In addition to technical design, the study addresses implementation challenges, such as data quality, model interpretability, and ethical considerations in AI deployment. Ultimately, this paper contributes to the growing knowledge of AI-integrated BI by offering a scalable and modular solution that empowers organizations to transition from reactive analytics to proactive and autonomous decision environments.

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Business Intelligence, Artificial Intelligence Agents, Predictive Analytics, Prescriptive Analytics, Decision Support Systems, Intelligent Architecture

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Health literacy is critical to effective healthcare delivery, particularly in marginalized communities. Accredited social health activists (ASHAs) and Anganwadi workers (AWWs) are frontline community health workers (CHWs) in India and play a significant role in promoting health literacy among marginalized communities. This study aimed to assess the health literacy of AWWs and ASHAs, explore opportunities for enhancing their health literacy, and identify challenges in promoting health literacy among the communities they serve. A literature review explored the understanding, challenges, and opportunities for health literacy among CHWs. CHWs are central to addressing this gap but face significant challenges, including inadequate funding, human resource systems that devalue practical experience, and systemic obstacles. Despite these challenges, the paper identifies key opportunities to enhance CHW effectiveness and, consequently, public health literacy. These include creating standardized, accessible health education modules; leveraging digital tools for ongoing learning; strengthening CHW integration with primary healthcare; implementing health literacy assessments in training; and fostering community engagement for tailored health messaging. Addressing the identified challenges and leveraging opportunities can enhance the effectiveness of CHWs in promoting health literacy, ultimately bridging the gap between healthcare systems and marginalized communities.

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Keywords: Health literacy, community health workers, well-being, and health care access.

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Agriculture-based industries hold significant importance in a country like India, where a large portion of the population depends on agriculture for livelihood. These industries are essential not only for processing and value addition of agricultural products but also for promoting rural development and employment generation. This research paper examines the current status, potential, and major challenges faced by key agriculture-based industries in India, including textiles, sugar, food processing, paper and pulp, fertilizers, and agricultural machinery. The study identifies critical issues such as seasonal supply of raw materials, lack of modern technology, limited capital availability, marketing difficulties, complex labor laws, and infrastructural inadequacies. Despite these challenges, the paper highlights the vast untapped potential of these industries to reduce rural-urban migration, address disguised unemployment, uplift rural economies, and contribute to sustainable economic growth. The research emphasizes the urgent need for integrated policy support, investment in technology, infrastructure enhancement, and institutional reforms to realize the full potential of agriculture-based industries in India.

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 Keywords

Agriculture-based industries, Rural development, Food processing, Textile sector, Employment generation, Policy support, Sustainable growth

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In order to conserve natural resources and economize energy, weight reduction has been the main focus of machine parts manufacturers in the present scenario. Weight reduction can be achieved primarily by the introduction of better material, design optimization and better manufacturing processes. The egg shell powder composite is one of the potential items for weight reduction of about 20% - 30%. The introduction of egg shell powder composite materials was made it possible to reduce the weight without any reduction on load carrying capacity, more elastic strain energy storage capacity and high strength to weight ratio as compared with those of steel. The use of organic waste in concrete is increasingly becoming implemented in design codes. Fibres are known to have an influence on the cracking process and thereby on the material toughness. However when fibres are used in beams, which include a relatively small amount of conventional flexural reinforcement, their effect can be localized in a limited part of the concrete. Such localization may lead to a reduction of ductility rather than to its increase, as observed in a study of high strength concrete beams, with and without fibres. This project presents structural tests with normal strength fibre reinforced concrete with reinforcement ratios that varied between 0 to 30%. The results will show the effects of compression strength of the cube.

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Egg Shell, Elastic Strain Energy, Organic Waste, Flexural Reinforcement, Compression Strength.

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The study of cinema is only one of the many disciplines that have been transformed by the use of Immersive technology in education. The potential of Immersive technology to improve the educational experience for students studying film and cinema is examined in this research paper. Students may participate with films as producers, reviewers, and analysts in addition to viewers thanks to Immersive technology 's immersive and interactive surroundings. The advantages of Immersive technology in film studies are examined in this research, with a focus on how it might improve knowledge of complex visual storytelling, narrative structure, cinematic methods, and spatial awareness. It also discusses the difficulties in incorporating immersive technology into conventional courses and the potential applications of immersive technology in film education. According to the research, Immersive technology has promise for developing more dynamic, experiential learning settings that encourage critical thinking, creativity, and a more profound appreciation of cinema as an art form. The immersive, interactive learning environment that Immersive technology provides in film studies improves students' comprehension of story structures, audience participation, and cinematic methods. Technology facilitates immersive learning by mimicking real-world situations and movie settings, which encourages critical thinking and creativity. It enables the first person exploration of set up, camera movement, and spatial narrative. By bridging the gap between theory and practice, Immersive technology enhances the effectiveness and engagement of cinema education. This innovative method changes conventional teaching, educating students for the rapidly changing digital media scene and giving them the tools they need to produce and analyze films in the future

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 Keywords

Immersive learning, narrative structure, Immersive technology, film studies, cinematic techniques

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