Volume 13 | Issue 8 |

 Abstract

The Smart Hybrid Attendance Management System Using Face Recognition is an innovative and efficient solution designed to automate attendance tracking in educational institutions. Traditional attendance methods, such as manual registers or RFID-based systems, are prone to errors and time-consuming processes. This system leverages Artificial Intelligence (AI) and Machine Learning (ML) to streamline attendance marking by recognizing student faces in real time. The system maintains a student database that stores essential details such as name, ID, roll number, department, course, year, semester, and guardian contact information, along with face samples that are used for facial recognition. These face samples are trained using machine learning algorithms to ensure accurate identification of students. The Face Recognition Module is responsible for automating the attendance process. When students appear before the system, their faces are detected and compared with the pre-stored dataset. If a match is found, they are marked as "Present", and their details are logged into attendance.csv. The Attendance Panel allows administrators to manually verify and manage attendance records, ensuring flexibility and accuracy. In cases where students are absent, the system provides an interface where administrators can manually mark them as "Absent" and store their details in a separate absentees.csv file. The system also includes a refresh button to update records dynamically and a manual control button for faculty to review and adjust attendance as needed. A key feature of this system is its Automated Absentee Notification System, which ensures effective communication between the institution and parents. Once students are manually marked as absent, their details are retrieved from absentees.csv, and an email notification is sent to their respective guardians informing them of their child's absence from class. This feature helps improve parental involvement, enhances institutional transparency, and ensures that students maintain regular attendance. By integrating biometric-based attendance tracking with manual oversight and automated reporting, this system significantly reduces administrative workload while ensuring secure, accurate, and real-time attendance monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI, NLP, ML, streamline attendance deep learning, Automated Absentee Notification System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In an age of hyper-informatization, extracting meaningful insights from the huge quantities of textual data has assumed an immense role in many industries, including journalism, research, business intelligence, and legal documentation. This paper discusses the development of an AI article summarizer that combines cutting-edge Natural Language Processing (NLP) and Machine Learning (ML) techniques for generating precise yet informative summaries. The systems incorporate extractive and abstractive summarization, whereby extractive models select relevant sentences from the source text and abstractive models reformulate and synthesize new content for improved readability and coherence.We applied transformer-based architectures, such as BERT, T5, and GPT, on our approach since they have provided state-of-the-art performance in text understanding as well as generation tasks. This summarization model is not only trained on large-scale datasets but further refined using reinforcement learning and transfer learning techniques to improve the quality of generated summaries. Context-aware ranking algorithms, sentiment analysis, and keyword extraction have also been integrated into the system in order to better refine the summarization outputs according to the user preferences and domain-specific needs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-based summarization, NLP, ML, extractive summarization, abstractive summarization, transformer model, BERT, T5, GPT, text summarization, content automation, information retrieval, deep learning, text generation, ROUGE score, BLEU score, METEOR score.

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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

Cultural Theory, Postmodernism, Gender and Identity, Alienation, Commodification of the Body, Fragmentation, Representation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mona Zote's poetry articulates a potent decolonial epistemology through radical formal innovation. This paper examines how "Anti-love Poem" and "Rez" transform poetic structure into a site of ontological resistance against historical erasure and state-sanctioned violence in Mizoram. Through anaphoric negation, visceral fragmentation, and a deliberate "conspiracy against itself," Zote's work performs a violent hermeneutics that excises colonial paradigms and materializes the abject body as a counter-archive of the "untelevised truth." Grounded in the Mizo historical experience of the AFSPA-era and informed by the legend of Pi ?ghaki, her poetry enacts a Fanonian rupture, forging an insurgent cartography of memory. Ultimately, Zote's form operates not as representation but as constitutive ontology, a grammatical matrix where silenced histories achieve articulation and demand an ethical response.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Decolonization, Poetic Form, Mizo Resistance, Historical Trauma, Testimonial Hermeneutics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper introduces and critically examines the Agentic Leadership Model, a paradigm that integrates artificial intelligence (AI) as an active amplifier of leadership traits such as empathy, transparency, and empowered autonomy. Drawing on leadership theory, AI integration, and empirical applications, the study highlights the distinctiveness of Agentic Leadership compared to transformational, servant, authentic, and adaptive leadership models. The paper also discusses practical applications, challenges, and ethical dilemmas, before outlining future research directions. By situating AI as an agentic partner rather than a passive tool, Agentic Leadership provides a blueprint for responsible, human-centered leadership in the digital era.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agentic Leadership, Artificial Intelligence in Leadership, Human-AI Collaboration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Garbhini Chardi, referred to as nausea and vomiting during pregnancy (NVP), is a frequent symptom recognized in Ayurvedic literature as a natural phenomenon in early gestation. Physiological, hormonal, and doshik imbalances, particularly the vitiation of Kapha and Pitta, influence the condition, resulting in symptoms including excessive salivation, sour vomiting, and discomfort. Ayurveda prioritizes comprehensive management approaches, encompassing dietary adjustments, herbal remedies, and lifestyle alterations to equilibrate doshas and promote the health of both mother and fetus. In contrast to general vomiting (Chardi), Ayurvedic treatment for Garbhini Chardi eschews vigorous purifying methods, favoring gentler remedies like Bhoonimba paste, Bilva phala majja, and Eladi Choorna. Adhering to appropriate dietary guidelines (Pathya) and implementing lifestyle modifications are essential for mitigating symptoms, ensuring nutritional adequacy, and reducing problems such as dehydration and hyperemesis gravidarum. Ayurveda offers a secure, efficacious, and personalized method for addressing pregnancy-related nausea, delivering relief while enhancing overall well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Garbhini Chardi, Ayurveda, Dosha imbalance, pregnancy nausea, herbal remedies

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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

mok?a, dar?ana, Bhagavad G?t?, philosophical methodology, self-realization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Prison privatisation has grown globally over the past four decades, caused by various reasons like overcrowding, fiscal constraints, and neoliberal policies. While advocates cite efficiency and innovation, critics raise concerns over transparency, accountability, and compliance with human rights standards such as the UDHR, Nelson Mandela Rules, ICCPR, etc. This study conducts a comparative analysis of models in the USA, UK, Australia, New Zealand, and some African nations, examining operational performance, regulatory oversight, and rights implications. Drawing on qualitative policy review and secondary data, the research identifies both efficiencies and significant risks, particularly regarding contractual enforcement and human rights safeguards. Findings highlight that no single model is universally applicable; effectiveness depends on local political, legal, and social contexts. The study offers a framework that integrates policy evaluation with human rights assessment, guiding policymakers, especially in nations including India, that are considering privatising their penal institutions, and a basis for further cross-jurisdictional research.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prison privatisation, Public-private partnership, Rehabilitation, Human rights violations, international prison standards

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Information and Communication Technology has become a commonplace entity in all aspects of life. It has brought revolution in various spheres of society at the global level. It has become an essential and unconditional part of the education system, also. The 21st century is an era of modern technological growth and internet service. From womb to death, our life is based on technology and now the digital media is one of the most popular media in human life. Day by day, our education system is being formalized and systematized with the benefits of ICT. It is now an essential component of the educational process and teaching learning activities. The development of ICT has given a new dimension to the pedagogy, evaluation, and self-learning. The quality of education has automatically grown with the use of the WWW, by providing global knowledge within a nanosecond. The use of ICT in education has led to more and more student-centric learning settings and great assistance for teachers, also. In the period of knowledge explosion, it is urgent to accept the rapid growth of the technological aspect. In these circumstances, ICT plays a major role in making education lively, enthusiastic, motivating, creative, and self-paced. This paper will highlight the above-mentioned benefits of ICT on quality Education and pedagogical explosion and self-learning.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ICT, Quality of Education, and Learning Pedagogy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Content-Based Video Retrieval (CBVR) has emerged as an essential research area due to the exponential growth of multimedia data and the need for efficient indexing, searching, and retrieval. Traditional retrieval methods relying on textual annotations are often inadequate, subjective, and time-consuming. To address this, we propose a hybrid CBVR framework that leverages the complementary strengths of Discrete Wavelet Transform (DWT) and Gabor filters for effective feature extraction. The integration of these methods yields a robust feature descriptor capable of discriminating between visually similar video frames. Similarity measurement is performed using distance metrics such as Minkowski distance to ensure accurate retrieval. Experimental analysis on UCF video datasets demonstrates that the DWT-Gabor hybrid approach achieves improved average precision of 85.71%.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Content-Based Video Retrieval (CBVR), Discrete Wavelet Transform (DWT), Gabor Filter, Video Shot Boundary Detection (CBVR)

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Creative Commons Attribution 4.0 and The Open Definition