Volume 14 | Issue 2 |

 Abstract

English pronunciation plays a critical role in effective communication, yet many learners face challenges due to regional accents, lack of feedback, and limited access to guided learning. With advancements in artificial intelligence and speech processing, this paper presents AuraVoice, an AI- powered application designed to detect and correct pronunciation errors in real-time. The system integrates speech recognition, phoneme analysis, and feedback delivery using tools like the CMU Pronouncing Dictionary, Levenshtein Distance, Librosa, and gTTS. A mobile-friendly interface is developed using Flutter, with backend support from Flask and SQLite. This platform offers an interactive, scalable solution for self-paced spoken English improvement. It promotes accessible learning through intuitive feedback mechanisms and offline capability. The paper also discusses limitations in existing systems and proposes enhancements using intelligent algorithms, aiming to transform digital language learning into a more engaging, efficient, and personalized experience.

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 Keywords

Pronunciation, Speech Recognition, AI in Education, CMUdict, Flutter, Levenshtein Distance

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Leadership is a fundamental element in the effective functioning of educational institutions. School heads, principals, and academic administrators influence institutional success through their leadership approach, decision-making style, and interaction with teachers and staff. This review paper examines different leadership styles practiced in educational institutions, such as transformational, transactional, democratic, autocratic, instructional, and distributed leadership. The study is based on secondary data collected from published research articles, books, and academic reports. The review highlights the influence of leadership styles on teacher motivation, organizational culture, and institutional performance. The study concludes that participative and adaptive leadership styles are more effective in achieving sustainable educational outcomes.

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 Keywords

Educational Leadership, Leadership Styles, Institutional Effectiveness, Instructional Leadership, Academic Administration

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Chadha, Satbir. Hills and Lakes. Virasaat Art Publication, 2024. Hills and Lakes by Satbir Chadha: Care, Consciousness, and the Fragile Architecture of Human Bonds Dr. Ritu Kamra Kumar Abstract This paper offers a critical reading of Satbir Chadha's Hills and Lakes (2024), situating the novel within the ethical and psychological traditions of the English domestic novel. Drawing upon E. M. Forster's theory of character and Virginia Woolf's representation of caregiving consciousness, the study examines how Chadha privileges moral attentiveness over formal complexity. The novel's episodic, picaresque structure foregrounds lived experience across multiple geographies while maintaining care as its central thematic concern. The paper argues that Satya's transformation--from nurturer to the nurtured--constitutes the novel's most significant ethical reversal, foregrounding mental health, vulnerability, and reciprocity. While the novel engages with social concerns such as terrorism, ecological degradation, and gendered precarity, it resists sensationalism through restrained diction and diary-like narration. The paper also interrogates the relative flatness of secondary characters, noting the absence of surprising psychological development as both a limitation and a deliberate ethical choice. Ultimately, the study positions Hills and Lakes as a compassionate realist narrative that affirms care as both sustaining force and existential burden in contemporary life.

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Keywords: Ethical, psychological, caregiving, consciousness, mental wellness

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Abstract The Mahanubhava Panth, a lesser-known monotheistic tradition originating in 13th-century Maharashtra, offers a unique blend of moral discipline, spiritual devotion, and social reform. Founded by Bhagwan Shri Chakradhar Swami, the Panth emphasizes ethical living, equality, simplicity, and unwavering devotion to Lord Krishna in his five divine incarnations. Its teachings advocate detachment from worldly desires, self-control, and adherence to seven prohibitions that safeguard moral and social harmony. The Panth's rich cultural heritage includes rituals, festivals, and community practices that foster unity, spiritual growth, and ethical awareness. In contemporary Telangana, ashrams and youth programs continue to propagate these values, highlighting the Panth's enduring relevance. This study explores the moral, spiritual, historical, and ritualistic dimensions of the Mahanubhava Panth, demonstrating its potential contribution to modern ethical and spiritual life.

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Mahanubhava Panth, Chakradhar Swami, Moral and Spiritual Philosophy, Devotional Practices, Societal Well-being

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Early detection of Alzheimer's disease (AD) is crucial for enabling timely intervention and improving patient outcomes. This project proposes a Hybrid ANN-Ensemble Model for Early Alzheimer's Disease Detection that integrates Artificial Neural Networks (ANN) with advanced ensemble learning techniques to enhance predictive accuracy and robustness. The proposed system utilizes multi-model input data, including neuro imaging features, cognitive assessment scores, and relevant clinical parameters, to perform comprehensive analysis and early-stage classification. The ensemble component is incorporated to reduce overfitting and improve generalization, while the ANN model captures complex nonlinear relationships within high-dimensional medical data. Advanced preprocessing techniques such as feature selection, normalization, and dimensionality reduction are applied to optimize model performance while maintaining computational efficiency. Model validation is performed using cross-validation techniques to ensure reliability and stability. Performance is evaluated using standard metrics, including accuracy, precision, recall, F1-score, and Area Under the Receiver Operating Characteristic Curve (AUC-ROC). Compared to conventional single-model approaches, the proposed hybrid framework demonstrates improved sensitivity in detecting Mild Cognitive Impairment (MCI), a critical precursor to Alzheimer's disease. The system functions as an intelligent decision-support tool, assisting clinicians in early diagnosis, risk assessment, and timely clinical intervention.

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Alzheimer's Disease, Early Detection, Artificial Neural Network (ANN), Ensemble Learning, Hybrid Model, Mild Cognitive Impairment (MCI), Machine Learning, Neuro imaging Analysis, Clinical Decision Support System, Predictive Modeling.

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E-learning also known as online teaching and learning continues to shape the education landscape globally. Yet most Kenyan universities continue to face significant challenges in adopting and sustaining the approach. This scoping review analysed existing literature to establish challenge to effective intergration of online learning in Kenya's higher education institutions. Science Direct, JSTOR, PubMed, Academia. Edu and Research Gate databases were used to search for articles using identified search terms. These data bases were chosen for their extensive coverage of research articles. Articles that were published between the years 2015-2025 were considered for review. English, open-access, and free full-text articles were reviewed. The search was done in January 2026. The common challenges identified include inadequate technological infrastructure, limited internet connectivity, high costs of data, and insufficient access to digital devices among students and faculty. Pedagogical barriers such as limited digital literacy, lack of training for faculty, and difficulties in adapting traditional curricula to online formats further constrained implementation. Institutional and policy-related issues, including inconsistent government support, weak regulatory frameworks, and financial constraints, exacerbated these difficulties. The review highlights the inequalities, which hinder equitable participation in online education. Based on the findings of the study, it was recommended that more investment is required in technological infrastructure and capacity-building initiatives for faculty and students to enhance online learning in higher education institutions.

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Challenges, online learning, e-learning, universities, Kenya

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Nabakanta Barua, a prominent and pioneer in Assamese Children's Literature, beautifully weaves educational and moral dimensions into his whimsical and imaginative stories. Through his works such as Hiyali Palegoi Ratanpur, Akhoror Jokhola, Monot Porar Hobdo, Vot-U-Kare Vu, Kishur Upanishad, Barua employs humor, satire and absurdity to impart life lessons and ethical values to young readers. Additionally, in some of his works such as Mur Kitap, and Leseri Butola Barua tries to teach Assamese alphabets, various insects and different color names and general knowledge which help young readers to shape their cognitive, social and emotional development. His characters and narratives reflect universal truths, encouraging critical thinking, empathy and a sense of justice. Barua's stories mainly focus on themes like courage, honesty, empathy, love and the consequences of greed making them both engaging and instructive. This paper explores how Nabakanta Barua's unique mix of fantasy and realism serves as a powerful tool for moral and intellectual development, reflecting his enduring relevance in Assamese Children's literature. By exploring specific examples from his works, this study shows how Barua's storytelling transcends mere entertainment, offering timeless lessons that resonate with readers across generations.

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Nabakanta Barua, Assamese Literature, Children's Literature, satire, moral dimensions, education.

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The growing prominence of India's Generation Z marks a significant shift in the landscape of political engagement, reshaping how young citizens interpret, debate and engage with political issues. The paper titled, "Virtual and Real: An Examination of India's Gen Z Political Consciousness, Participation and Perception in the Digital Age", explores the political consciousness, participation and perception of India's Gen Z. The data is collected from 205 participants, comprising students across various educational institutions as well as working professionals of India through self-administered survey questionnaire. Quantitative research methodology is used to analyze the data. The findings suggest that while Gen Z are politically conscious and have high interest in politics, their political engagement often remains confined to virtual environment. Their online as well as offline political participation is limited. They have certain kind of perception towards politics. It follows that India's Gen Z represents a digitally aware yet institutionally detached generation. The democratic process will only be strengthened if online interest and activity can be transformed into consistent, real-world civic participation. This research highlights the need to strengthen Gen Z- driven democratic participation in the digital age.

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Generation Z, Political Consciousness, Political Participation, Political Perception, Digital Native

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The Smart Agricultural Management System for Small-Scale Farmers in India is an Android-based dual-application platform built to empower rural farmers through direct digital market access. By connecting farmers and consumers without intermediaries, the system ensures fair trade, better profit margins for farmers, and fresh, affordable produce for buyers. Developed using Java/XML and powered by Firebase Authentication, Realtime Database, and Cloud Storage, the platform offers two distinct mobile apps one for farmers and another for consumers. Farmers can easily create accounts, list agricultural products with details such as name, price, quantity, and image, and manage inventory in real time. Consumers can browse nearby farms, view available produce, place orders, and pay securely through the integrated Razorpay payment gateway. The system maintains data consistency across all users through Firebase's cloud synchronization, enabling reliable access even in low-bandwidth rural conditions. This project represents a significant step toward digital agriculture (AgriTech) by merging e-commerce principles with cloud technology. It promotes transparency, reduces wastage, and strengthens rural economies by facilitating direct farm-to-consumer transactions. The solution is scalable, low-cost, and designed for real-world deployment across India's small and marginal farmer communities.

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Smart Agriculture, Farmer-Customer Marketplace, Firebase Real-time Database, Cloud Storage, Razorpay Payment Gateway, Android Application, Java/XML, Direct Farm-to-Consumer, Digital Farming, AgriTech Innovation.

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hairIsAnEssentialAppendageOfTheSkinComposedPrimarilyOfKeratinAFibrousStructuralProteinItOriginatesFromHairFolliclesLocatedInTheDermalLayerHairNotOnlyEnhancesPhysicalAppearanceButAlsoProvidesProtectionAgainstUltravioletUVRadiationDustAndEnvironmentalPollutants theHairGrowthCycleConsistsOfThreeDistinctPhasesAnagenGrowthPhaseCatagenTransitionalPhaseAndTelogenRestingPhaseDisruptionInThisCycleMayLeadToAlopeciaACommonDermatologicalConditionCharacterizedByHairLossApproximately50OfTheMalePopulationExperiencesSomeDegreeOfAlopeciaDuringTheirLifetimeMakingItASignificantMedicalAndCosmeticConcern lantanaCamaraLinnFamilyVerbenaceaeIsAWidelyCultivatedOrnamentalPlantBearingClustersOfYellowPinkOrangeOrRedFlowersTheTermLantanaIsDerivedFromTheLatinWordLentoMeaningToBendTraditionallyItsLeavesHaveBeenUsedForTheirAntispasmodicAntibacterialAndAntifungalPropertiesWhileTheStemHasBeenUsedForMaintainingOralHygieneDueToThePresenceOfVariousPhytoconstituentsThePlantMayPossessPotentialHairGrowthPromotingActivity

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Camara Lantana Linn, ANOVA, Alopecia, Soxhlet Apparatus , Maceration, hair growth

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