Volume 14 | Issue 2 |

 Abstract

In the present digital era, individuals and organizations handle a massive volume of documents in different formats such as text files, PDFs, scanned images, and handwritten notes, making information retrieval a difficult and time-consuming task. To overcome this challenge, this work presents an AI-based personal assistant that enables secure storage, intelligent management, and quick retrieval of user documents through interactive communication. The system allows users to search using both text and voice queries, providing fast and relevant responses. Techniques such as Optical Character Recognition (OCR) are employed to extract text from scanned and image-based documents, while Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) are used to understand user intent and generate accurate answers. Strong authentication and encryption mechanisms are integrated to ensure data privacy and protection. In addition, features such as cloud-style document storage, an AI analytics dashboard, and Razor pay-based premium subscription support enhance the overall functionality of the system. The proposed solution aims to offer a practical, secure, and intelligent platform that simplifies access to personal and professional information and improves everyday productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Document Management System, Natural Language Processing, Optical Character Recognition, Semantic Search, Information Retrieval.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Mala community, a significant Scheduled Caste group in Telangana, has historically faced social, economic, and political marginalization due to the rigid caste system in India. Traditionally employed as agricultural laborers, village servants, and in low-paid occupations, Malas experienced limited access to land, education, and upward mobility for generations. Post-independence India introduced constitutional safeguards, reservations, and welfare schemes aimed at promoting social justice and economic development for Scheduled Castes. Despite these measures, disparities persist, particularly in rural areas where many Malas remain landless, dependent on wage labor, and underrepresented in political and formal employment spheres. Previous studies have highlighted gradual improvements in literacy, basic infrastructure, and government employment for some households, but internal disparities and structural inequalities continue to hinder uniform development. This study seeks to examine the current socio-economic status of the Mala community in a selected village of Jagtial district to understand the extent and limitations of their development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scheduled Castes, employment, development, social, economy, political, discrimination, backwardness and etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the modern world, the viewing of electronic displays has become a huge part of daily living at home, at work, during leisure time and the move. The use of laptop, desktop and tablet computers, smartphones and electronic reading devices has become ubiquitous. Without computer, world has no global awareness. The computer has become backbone of today's occupational settings. From primitive tools of the stone age, today we have entered a new era, the computer age-an age which owes everything to inventors. It has created a brand new environment. They are the heartbeats of the modern world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

planned teaching programme

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Concrete is widely used in infrastructure due to its high compressive strength, durability, and cost-effectiveness. However, exposure to acidic environments significantly affects its mechanical and durability properties. Acid attack primarily occurs when concrete structures are exposed to industrial effluents, acid rain, sewage systems, or aggressive soils containing acids such as sulfuric acid, hydrochloric acid, and nitric acid. These acids react with the alkaline components of hydrated cement paste, particularly calcium hydroxide (Ca (OH)?) and calcium silicate hydrate (C-S-H), leading to chemical degradation. The interaction between acids and cement hydration products results in the formation of soluble salts and expansive compounds such as gypsum and ettringite, which weaken the internal structure of concrete. This process reduces compressive strength, increases porosity, and accelerates surface deterioration through scaling, cracking, and mass loss. Sulfuric acid is particularly aggressive due to both chemical reaction and sulfate attack mechanisms, causing severe structural damage compared to other acids. The rate and extent of strength reduction depend on several factors, including acid concentration, exposure duration, type of cement, water-cement ratio, permeability, and use of supplementary cementitious materials such as fly ash, silica fume, and slag. Concrete with lower permeability and higher density generally exhibits better resistance to acid attack. Understanding the influence of acid on concrete strength is essential for designing durable structures in aggressive environments. Preventive measures such as proper mix design, protective coatings, and the use of acid-resistant materials can significantly enhance service life and structural performance under acidic exposure conditions.

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 Keywords

Acid attack, Concrete degradation, Strength loss, Durability, Chemical corrosion (or chemical attack), pH value, Cement matrix (or cement paste), Microstructure, Pore structure (or porosity, permeability), Material properties (mechanical properties, physical properties).

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Creative Commons Attribution 4.0 and The Open Definition

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Loan repayment behavior plays a crucial role in ensuring financial stability within the banking sector and sustaining credit growth in emerging economies like India. This study examines the key socio-economic, financial, and behavioral factors influencing loan repayment behavior among middle-class households in India. Using primary data collected through structured questionnaires based on a five-point Likert scale, the research analyzes variables such as income stability, employment security, financial literacy, borrowing patterns, lending practices, and financial awareness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Loan repayment behavior, Middle-class households, Financial literacy, Income stability, Lending practices, India.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Web applications are vulnerable to malicious acts because the applications are open and interactive. SQL injection, cross site scripting, command execution, and directory browsing are among the most frequent and destructive attacks that are injection based. Traditional security mechanisms, though, tend to be very based on hard-coded signatures and firewall rules, do not provide any form of contextual observation and in-depth behavioral analysis. In the current paper, a framework of a Machine Learning-based honeypot in combination with session-based audit logging is introduced to provide real-time web application security monitoring. The suggested architecture is an implementation of a threat score mechanism that uses controlled honeypot endpoints to receive potentially suspicious inputs and rate incoming requests based on those. Besides payload analysis, the structure logs session identifiers, IP addresses, geolocation information, and repeated patterns of interaction to give more understanding of the way an attacker operates. All the identified events are registered in a long-lasting audit database and presented in the form of a responsive analytics dashboard. The practical confirmation of the provided framework by simulated attack cases proves the fact that it is a successful approach to detecting threats related to injections without notable deployment costs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web Honeypot, Supervised Learning, Attack Classification, Risk Scoring, Intrusion Detection, Web Application Security, Large Language Models, Threat Intelligence

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The relationship between gender and the environment is primarily conceptualized in ideological terms in the expanding body of literature on ecofeminism in the West, particularly in the US. However, a growing struggle for survival in the developing world draws attention to the material foundation of this connection. It provides context for a different definition of ecofeminism, which the study refers to as "Feminist Environmentalism." Before the 18th and 19th centuries, women were seen to play no part in environmental conservation and promotion, and they were excluded from all main spheres of social life. However, after learning about their rights and responsibilities and becoming aware of their surroundings, they consciously raised their voices against environmental deterioration. Women play an essential role in managing natural resources at the family and community levels, and they are disproportionately affected by environmental deterioration. Women traditionally care for and maintain natural resources in their households and communities. Environmental damage and deterioration substantially affect them by depriving them of their means of subsistence. Women have direct access to natural resources such as fuel, food, and fodder; forests; water; and land, particularly in rural areas, where 70% of the Indian population lives and is directly dependent on these resources. Women are also accountable for using these resources to meet their families' necessities. This paper addresses two objectives: first, the conceptualization of the nature of the relationship between women and the environment; and second, the analysis of the contribution of women to environmental movements in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Feminist Environmentalism, Ecofeminism, Environmental Movements, Environmental deterioration, Environmental Conservation

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Creative Commons Attribution 4.0 and The Open Definition

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College students frequently worry about academic stress which is impacted by a variety of psychological factors. Although using music a coping mechanism is common, individual differences may affect how effective it is. The current study investigates the moderating role of personality traits among college students as well as the relationship between academic stress and music preferences. A quantitative and cross-sectional design was used. 80-100 college students in ages between 18-25 years with equal division of gender was used. To gather the data NEO-FFI questionnaire, Academic Stress Scale and Music Preferences Scale was used. Descriptive Analysis, Correlation Analysis, Multiple Regression and Moderation analysis were performed. The findings showed a very week and non-significant relationship between academic stress and musical preferences. Stress levels were not significantly predicted by music preferences, according to multiple regression analysis. Moderation analysis however, showed important interaction effects. Students with High levels of openness to experience who preferred reflective music also had lower levels of academic stress, whereas students with high levels of conscientiousness who preferred energetic music had lower levels of academic stress. The results show that music is not a universal method of reducing stress. Rather it is each person's unique personality traits determine how effective it is. The study emphasizes how crucial it is to take personality traits into account when using music as a coping strategy to lower the academic stress.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Academic Stress, Music Preferences, Personality Traits, Moderation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Life in an aquatic environment is largely governed by physico-chemical characteristics and their seasonal changes. All life forms exist within narrow range of physico-chemical conditions present in a lake water. So studies were made on a rural lake of Bhadrawati tehsil located in village Chora of Chandrapur district in Maharashtra State for its physico-chemical characteristics during the year 2025. In present study in all about 10 different physico-chemical characteristics were analyzed during a year span. The parameters analyzed include air temperature, water temperature, PH, dissolved oxygen, free carbon dioxide, total alkalinity, conductivity, orthophosphate, nitrate nitrogen and total hardness. The freshwater lake is impacted by man made activities like washing of clothes and its embankement is affected by village level defecation activities daily degrading its water quality continuously. Presence of many aquatic weeds in its basin increases its pollution level to some extent too due to their continuous death and decay in a cyclic manner.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Village lake, Chora, Physico-chemical characteristics, Bhadrawati tehsil, Chandrapur district.

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Creative Commons Attribution 4.0 and The Open Definition