Volume 13 | Issue 10 |

 Abstract

Manual resume screening is one of the most resource-intensive stages of recruitment, often consuming excessive time and introducing unconscious biases into hiring decisions. With the exponential rise of digital job portals, recruiters face overwhelming applicant volumes, making traditional keyword-based filtering insufficient. This paper proposes an AI-powered resume screening framework that integrates Natural Language Processing (NLP), predictive analytics, and optional video resume evaluation to improve both efficiency and fairness in candidate selection. The proposed model extracts structured information from unstructured resumes, matches candidates with job requirements using similarity measures, and applies predictive models to forecast retention likelihood. An ethical layer ensures de-biasing, anonymization, and compliance with legal safeguards. A synthesis of prior research demonstrates that AI-driven systems can reduce screening time by up to 60%, improve candidate-job matching compared to keyword search, and enhance engagement when video resumes are included, though legal concerns remain,The findings highlight that AI-powered screening can significantly transform HR practices while requiring careful attention to bias and privacy challenges.

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 Keywords

Artificial Intelligence (AI), Resume Screening, Natural Language Processing (NLP), Applicant Tracking Systems (ATS), HR Automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Punarvartaka Jwara is a recurrent fever that arises from a digestive disruption and an insufficient resolution of imbalance of dosha. Such recurring fevers are associated with Mandagni, Ama, Krimi, and Dhatu Kshaya in Ayurveda. In this case study, a 4.5-year-old boy with recurring fever and anaemia was successfully treated with Tapyadi loha, Rajanyadi Churna, and Kirattiktadi Kwatha, and some other Ayurvedic formulations. Within two months, there was a noticeable increase in immunity, digestion, and Hb levels (from 9.0 g/dL to 11.5 g/dL), and there was no recurrence of fever after that. The instance demonstrates how well the Ayurvedic treatment works to treat Punarvartaka Jwara in paediatric patient.

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AYURVEDIC MANAGEMENT OF PUNARVARTAKA JWARA (RECURRENT FEVER) WITH PANDUTAM IN A CHILD - A CASE REPORT

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The airport stand assignment problem (ASAP) involves the allocation of arriving and departing aircraft to available parking stands (gates) while respecting operational and spatial constraints. An effective stand assignment significantly influences airport efficiency, passenger comfort, and airline performance. This research develops a mixed-integer programming (MIP) model to minimize total passenger walking distance, thereby improving transfer efficiency and traveler experience. The paper reviews recent studies (2020-2024) on gate and stand assignment problems, emphasizing passenger-centric optimization objectives. The proposed model uses binary decision variables representing flight-stand allocations, subject to exclusivity and non-overlapping temporal constraints. The optimization is implemented using Python's PuLP library with the CBC solver on synthetic datasets that simulate flight schedules and passenger volumes. Results demonstrate that minimizing walking distances yields considerable improvements over random or naive assignment strategies. Finally, scalability, trade-offs, and future research directions--such as multi-objective formulations and robust optimization--are discussed.

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 Keywords

Airport stand assignment; Gate allocation; Passenger walking distance; Integer programming; Optimization; Ground operations.

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 Abstract

The legal industry is undergoing a revolutionary change as more and more virtual court sessions are being used to improve judicial systems' accessibility, efficiency, and openness. This paradigm change is not without difficulties, though. This study focused on the legal and constitutional ramifications of the Chief Justice's Practice Direction while examining the use of virtual court sessions in India. Although there are potential benefits to digitizing judicial procedures, significant issues remain, including concerns about privacy, technology inequality, and the protection of due process rights. The study used a recent legal case to support its conclusion that Indian laws do not cover administrative and practice guidelines. The paper analyzed and suggested a solution framework to maintain virtual court systems in India using the Innovation Diffusion Theory as a lens. The study's conclusions included the virtual court hearing's implementation strategy's inconsistency with the current legislative framework for upholding citizens' fundamental rights and due process. A balanced strategy that recognizes the benefits of technology and the conventional legal system is needed to find the answers. The tactics that address implementation and legitimacy issues, improve the security of virtual court technology's compliance with the current legal framework and practices, and guarantee long-term adherence to constitutional standards should be of utmost importance if virtual court hearings are to be sustained. To guarantee seamless implementation, substantive laws and regulations, including pertinent constitutional revisions, could be required.

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 Keywords

Virtual Courts

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence (AI) is the ability of computer systems to do tasks that normally require human intelligence. AI is rapidly developing and changing every facet of healthcare, including diet. This review has four goals in mind: The objectives are as follows: (i) to investigate the role artificial intelligence (AI) plays in nutrition research; (ii) to identify nutrition-related domains where AI is being applied; (iii) to understand the possible impact of AI in the future; and (iv) to investigate possible issues with the application of AI to nutrition research. The primary findings demonstrated that artificial intelligence's role in nutrition is still in its infancy, with a focus more on dietary assessment and less on lifestyle modifications, predicting malnutrition, and comprehending illnesses linked to diet. Clinical study is necessary to determine the efficacy of AI intervention. The ethics of employing AI is a significant topic that has not yet been addressed and has to be considered in order to prevent collateral harm to particular communities. The review's focus on specific dietary areas was limited due to the variety of the available evidence. Future study should prioritize specialized evaluations in nutrition and dieting in order to better grasp AI's potential in human nutrition.

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 Keywords

artificial intelligence in nutrition, chatbots, machine learning, dietary assessment, malnutrition.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) stands at a critical juncture, offering unprecedented innovation while simultaneously posing severe threats to digital privacy, security, and intellectual property. This review paper systematically analyzes the multifaceted privacy crises inherent in the AI era, focusing on non-consensual data collection, the proliferation of harmful deepfakes, and the contentious use of human creations for model training. It further explores a often-overlooked consequence: how AI privacy breaches fundamentally corrupt the integrity of data-driven product design, leading to biased, insecure, and untrustworthy outcomes. Synthesizing recent scholarly literature, the paper identifies significant gaps in current legal and ethical safeguards, arguing that a fragmented regulatory landscape is insufficient. The findings advocate for a proactive, interdisciplinary approach, including the mandatory integration of "Privacy by Design" principles, to ensure that technological advancement is balanced with the unwavering protection of fundamental human rights and the foundation of ethical innovation.

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AI Privacy Breaches Deepfakes Non-Consensual Data Collection Privacy by Design AI Ethics and Governance

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In this paper, we introduce the new class of closed sets namely, intuitionistic fuzzy g^ *closed sets in intuitionistic fuzzy topological spaces using intuitionistic fuzzy generalized closed sets. Also we discuss some basic properties and investigate the relationship with other existing intuitionistic fuzzy closed sets in intuitionistic fuzzy topological space.

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Intuitionistic fuzzy topology, Intuitionistic fuzzy g^* closed sets, Intuitionistic fuzzy generalized closed sets, Intuitionistic fuzzy generalized open sets.

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Creative Commons Attribution 4.0 and The Open Definition

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As supplemental treatments for cardiovascular illness, herbal cardioprotective substances including terminalia arjuna (Arjuna) and Crataegus spp. (Hawthorn) have drawn more and more scientific interest. Rich in triterpenoids, flavonoids, and tannins, arjuna has long been used to treat angina and ischemic heart disease because of its antioxidant, anti-ischemic, lipid-modulating, and myocardial-protective properties. Stronger data from standardized extract studies suggests that hawthorn includes flavonoids and oligomeric procyanidins that improve endothelial function, increase exercise tolerance , and include vasodilation in mild-to-moderate chronic heart failure .The dearth of large head-to-head randomized studies, preparation variation and inadequate long-term safety data remain significant constraints, despite the fact that both botanicals are generally well tolerated and have potential complimentary processes, suggesting synergistic application in cardiovascular therapy. All things considered, Arjun and hawthorn are potential phytotherapeutic agents that need more systematic, extensive clinical research to confirm their safety, effectiveness, and ideal combination for use in contemporary cardiovascular care

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 Keywords

Terminalia arjuna; Hawthorn; Cardiovascular health; Antioxidant activity; Synergistic therapy; Triterpenoids, Flavonoids, Phytotherapy, Ischemic Heart Disease, Endothelial Function, Anti-inflammatory action, Polyphenols.

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This article traces the origin and evolution of tea cultivation from the colonial expansion to the current scenario. With archival and government records and secondary sources, it highlights Wayanad with its agricultural-climatic condition, migrant labour system, and exploitation of labourers. This paper focuses on significant estates of Wayanad and its current challenges. Ultimately this article asserts that Wayanad tea plantations are not only economic development but also social and cultural adaptations ignited by colonialism.

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Creative Commons Attribution 4.0 and The Open Definition

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Tea plantations, colonialism, Wayanad, labourers, government boards.

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Creative Commons Attribution 4.0 and The Open Definition

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Email communication is a critical component of modern professional and personal interactions, yet it remains one of the most exploited channels for cyberattacks such as phishing, malware infiltration, and social engineering. Conventional spam filters, operating primarily at the user device level, often fail to provide proactive defense and adaptive learning, resulting in exposure to malicious emails and compromised data security. This project presents the design and development of Sentinel - a Gateway-Level Intelligent Email Security System, capable of real-time analysis and classification of incoming emails using Natural Language Processing (NLP) and Machine Learning (ML) models. The system integrates an AI-based filtering engine with a secure web gateway, ensuring that malicious emails are quarantined before they reach the user's inbox. Continuous data feedback from users is analyzed by a retraining module, enabling adaptive improvement of the classifier's precision. The framework also includes a web-based dashboard and cloud connectivity for centralized monitoring, feedback visualization, and scalable deployment across enterprises and individuals.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Email Security, Spam Filtering, Phishing Detection, Machine Learning, Natural Language Processing (NLP), AI-Driven Cybersecurity, Feedback Learning System, Secure Email Gateway, Real-Time Threat Classification, Cloud-Based Monitoring, Intelligent Filtering, and Proactive Network Defense.

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Creative Commons Attribution 4.0 and The Open Definition