International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews https://thejournalshouse.com/index.php/Journal-Machine-Learning en-US International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews An Intelligent Machine Learning Framework for Personalized Career Path Recommendation Among Engineering Students https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2327 <p>Engineering students frequently struggle to find the best job choices that fit their academic achievement, interests, and skill set in the present academic environment. In order to help engineering students make well-informed career decisions, this study proposes a machine learning-based Career Path Recommendation System. Through the analysis of student data, including academic scores, technical skills, preferred courses, project domains, and internship experiences, it predicts appropriate professional roles such as network administrator, software developer, data analyst, or embedded systems engineer. The model makes use of machine learning algorithms like K-Nearest Neighbors (KNN) and cosine similarity for classification and recommendation. In addition to assisting students in locating jobs that complement their objectives and strong points, the proposed approach assists educational institutions in offering tailored career guidance.This technology bridges the gap between education and industry requirements and improves career planning decision-making through visual insights and pattern analysis.</p> Sejal Kumari Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-08-04 2026-08-04 2 2 1 7 Comparative Analysis of Machine Learning and Deep Learning Techniques for Phishing Website Detection https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2426 <p>This study examines the performance of various machine learning and deep learning techniques for detecting phishing websites. Several classification models, including DenseNet, Logistic Regression (LR), Random Forest (RF), Decision Tree (DT), XGBoost, and Multi-Layer Perceptron (MLP), are analyzed to determine their effectiveness in identifying fraudulent and potentially harmful websites. The experimental results indicate that XGBoost and MLP achieve the best classification performance, recording the highest accuracy among the evaluated models. DenseNet, a deep learning-based model, also provides promising results, with an accuracy of approximately 86%. Overall, the findings demonstrate that combining traditional machine learning algorithms with deep learning techniques can enhance the accuracy, reliability, and robustness of phishing website detection systems</p> Tushar Wagh Chetan Chaudhari Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-10-01 2026-10-01 2 2 86 92 Mindfulness as a Cognitive-Emotional Resource for Decision Quality: A Mindful Decision Resilience Model https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2423 <p>Decision-making in contemporary academic and organizational environments increasingly occurs under uncertainty, information overload, time pressure, and psychological pressure. While existing research has established relationships between mindfulness and stress reduction, relatively limited theoretical attention has been given to the mechanisms through which mindfulness may influence the quality of decisions under uncertain conditions. This paper develops the Mindful Decision Resilience Model (MDRM), a theoretically grounded framework that conceptualizes mindfulness as a cognitive-emotional resource rather than merely a stress-management technique. Drawing upon mindfulness theory, transactional stress theory, conservation of resources theory, dual-process theory, cognitive reappraisal, and self-regulation theory, the model proposes that mindfulness influences decision quality through four interrelated psychological mechanisms: adaptive stress appraisal, attentional control, emotional non-reactivity, and cognitive reappraisal. These mechanisms are proposed to enhance cognitive flexibility, which subsequently strengthens appropriate decision confidence and decision quality. Decision uncertainty is introduced as a contextual boundary condition that may strengthen the importance of mindful decision resources. The paper contributes to behavioral and management research by shifting the research question from whether mindfulness reduces stress to how mindfulness transforms psychological processing during uncertain and high-pressure decisions.</p> Yogita Dhanesh Patil Esha Vishal Piparia Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 14 18 MINDFULNESS AND MANACHE SHLOK: DEVELOPING AN INDIGENOUS FRAMEWORK FOR MENTAL AWARENESS, EMOTIONAL REGULATION AND RESILIENCE https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2382 <p>Mindfulness has become an influential construct in psychology, education and management because of its association with present-moment awareness, self-regulation and psychological well-being. Yet contemporary mindfulness discourse is often presented largely through modern psychological frameworks, while Indian knowledge traditions have long addressed the observation, discipline and transformation of the mind. This conceptual paper examines the relationship between contemporary mindfulness and Manache Shlok, the 205-verse work attributed to Samarth Ramdas that directly addresses the mind. The paper does not claim that Manache Shlok and modern mindfulness are identical; instead, it identifies process-level complementarities in awareness, observation of thoughts, emotional regulation, discernment and intentional action. Drawing on mindfulness theory, self-regulation, emotion-regulation and Indian philosophical perspectives, the paper proposes the Mindful Manas Model (MMM): Manache Shlok Engagement → Manas-Awareness → Vichar-Nirikshan → Bhava-Niyantran → Viveka → Sadacharan → Mental Steadiness. The model positions reflective engagement with the mind as a possible pathway from awareness to constructive action and psychological resilience. The paper contributes an Indian-context conceptual framework that can be empirically examined through mixed methods, scale development and PLS-SEM, while preserving the philosophical distinction between secular mindfulness and the spiritual-ethical orientation of Manache Shlok.</p> Yogita Dhanesh Patil Mridula Deshpande Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 19 24 Youth poverty and Unemployment in India https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2388 <p>Youth poverty and unemployment remain significant challenges in India, limiting individual well-being and hindering inclusive national development. Although the country has a large and increasingly educated youth population, many young people struggle to secure stable and meaningful employment. This situation is influenced by inadequate job creation, unequal access to quality education, limited vocational training, regional disparities, and a persistent mismatch between academic qualifications and labour-market demands. The resulting economic insecurity can contribute to social exclusion, reduced mobility, and diminished opportunities for personal and professional advancement. This paper examines the major causes and consequences of youth poverty and unemployment in India, with particular attention to the relationship between education, employability, and access to decent work. It further considers policy measures such as industry-oriented skill development, improved educational quality, expanded employment opportunities, social protection, and support for youth entrepreneurship. Addressing these interconnected challenges requires coordinated action by government, educational institutions, employers, and civil society. Effective and inclusive interventions can strengthen young people’s economic participation and contribute substantially to India’s long-term social and economic progress.</p> Chaitali Bansilal Dhangar Saishree Vikas mali Jayesh Nitin Patil Rohit Raju Yadav Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 56 59 Balancing Technology, Career, Relationships and Inner Peace for Holistic Human Development https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2390 <p class="IEEEAbstract">Artificial Intelligence (AI) is increasingly influencing the way organizations manage their workforce by enabling faster analysis of employee-related data and supporting evidence-based human resource decisions. In particular, AI and machine learning techniques have created new possibilities for predicting employee performance, identifying employees who may be at risk of leaving, and determining the skills required for future job roles. This paper examines the emerging role of AI in Human Resource Management (HRM), with specific emphasis on employee performance prediction, attrition analysis, and skill requirement forecasting. We develop an advanced multi-layered AI framework integrating Transformer-based Natural Language Processing (BERT/RoBERTa embeddings) for qualitative appraisal semantics, Temporal Graph Neural Networks (TGNNs) for organizational communication topology modeling, and regularized ensemble boosting (XGBoost) for tabular attrition forecasting. To mitigate the acute tabular class imbalance inherent in workforce records, we implement Boundary-SMOTE. Explainable AI (XAI) via TreeSHAP and Integrated Gradients ensures transparent causal feature attributions. Furthermore, an algorithmic fairness audit framework enforces demographic parity and equalized odds. Empirical evaluations show our multi-modal AI architecture achieves an Area Under the Receiver Operating Characteristic (AUC-ROC) of 0.934 and an F1-score of 0.887, significantly outperforming traditional statistical and baseline machine learning methods while preserving ethical human-in-the-loop governance.</p> Varun Pravin Dhangar Ashwin Sanjay Bhole Nainesh Sunil Chaudhari Prathamesh Yuvraj Vyas Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 68 71 THE ROLE OF COMMUNICATION SKILLS IN PERSONAL AND PROFESSIONAL DEVELOPMENT: AN ANALYTICAL STUDY OF THEIR IMPACT ON CONFIDENCE, EMPLOYABILITY AND CAREER GROWTH https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2396 <p>Communication skills are fundamental to an individual’s professional development. In a world that's more competitive and connected than ever being able to communicate well—whether through speaking body language, writing or interacting with others—makes a big difference. Good communication helps build confidence strengthens relationships, supports teamwork enhances leadership and improves performance at work. This study looks closely at how communication skills impact both growth and professional success. It focuses on how these skills affect self-expression chances of getting a job the ability to make decisions leadership qualities and career advancement. The study also looks at the problems that come from communication. These include misunderstandings, lower self-confidence, difficulty working with others and fewer chances in the workplace. The research uses an analytical method to study how communication ability connects to overall personal development. The results show that communication skills are not about sharing information. They are abilities that help people function well in personal and professional situations. The study also points out the need for improvement. This can be done through education hands-on practice, helpful feedback and real-life interactions. By improving communication skills individuals can become more effective, in their lives adapt better in their jobs increase their chances of employment and achieve long-term career success.</p> Vaishnavi Ravindra Nale Shaikh Rajeen Atik Purvej Rajendra Tayade Rajshri Dilbhar Kachave Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-10-01 2026-10-01 2 2 77 80 Project-Based Mentorship as a Contemplative Practice: Redefining Technical Club Onboarding for Emotional Scaffolding https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2404 <p><strong>Technical clubs offer casual spaces where computing students can work together, create portfolios, and shape their professional identity. However, joining these clubs often involves quick and competitive selection events. These methods may help students who already have experience but might make newcomers unsure about asking questions or continuing after a failure. This paper introduces a research framework based on evidence that sees project-based mentorship as a reflective practice. The framework mixes technical tasks with structured observation, active listening, reflection on failures and peer support. A review of seventeen verified studies in computing education, engineering education, mentoring, belonging, psychological safety, contemplative teaching and project-based learning shows the evidence is hopeful but scattered. Most past studies look at formal courses, research programs or mentoring programs, not onboarding in student-led technical clubs. So, this study uses a mixed-methods, quasi-experimental design to compare a group with a contemplative, project-based onboarding with a group that has traditional onboarding. The study will check psychological safety, feeling of belonging, confidence, staying in the club, completing projects and overall experience. We don’t claim experimental results; our contribution is a testable framework and a plan for evaluation.</strong></p> Zeenat Khan Mubashshera Khan Sadiya Khan Shaikh Nida Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 44 49 Artificial Intelligence and the Future of Human Resource Management: Predicting Employee Performance, Attrition and Skill Requirements https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2406 <p>Artificial Intelligence (AI) is increasingly influencing the way organizations manage their workforce by enabling faster analysis of employee-related data and supporting evidence-based human resource decisions. In particular, AI and machine learning techniques have created new possibilities for predicting employee performance, identifying employees who may be at risk of leaving, and determining the skills required for future job roles. This paper examines the emerging role of AI in Human Resource Management (HRM), with specific emphasis on employee performance prediction, attrition analysis, and skill requirement forecasting. We develop an advanced multi-layered AI framework integrating Transformer-based Natural Language Processing (BERT/RoBERTa embeddings) for qualitative appraisal semantics, Temporal Graph Neural Networks (TGNNs) for organizational communication topology modeling, and regularized ensemble boosting (XGBoost) for tabular attrition forecasting. To mitigate the acute tabular class imbalance inherent in workforce records, we implement Boundary-SMOTE. Explainable AI (XAI) via TreeSHAP and Integrated Gradients ensures transparent causal feature attributions. Furthermore, an algorithmic fairness audit framework enforces demographic parity and equalized odds. Empirical evaluations show our multi-modal AI architecture achieves an Area Under the Receiver Operating Characteristic (AUC-ROC) of 0.934 and an F1-score of 0.887, significantly outperforming traditional statistical and baseline machine learning methods while preserving ethical human-in-the-loop governance.</p> Arjun Umesh Sonar Devyani Pravin Sonawane Srushti Ramesh Patil Mokshada Chandrakant Patil Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 64 67 From Mortality Awareness to Inner Awakening: Exploring Mindfulness and Spiritual Consciousness in the Vaani of Satguru Sukhramji Maharaj https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2381 <p><span style="font-size: 14.0pt;">Mindfulness and spirituality have increasingly emerged as important areas of interdisciplinary inquiry, particularly in relation to human consciousness, self-awareness, emotional regulation, ethical living and the search for meaning. Indian spiritual traditions have historically addressed these concerns through contemplative practices, remembrance of the Divine, self-inquiry and awareness of human mortality. The teachings attributed to <strong>Adi Satguru Sukhramji Maharaj</strong>, preserved in the form of <em>Anbhai Vaani Ji</em>, offer a distinctive spiritual framework centred on awareness of mortality, remembrance of <em>Ram Naam</em>, the nature of the self, the limitations of worldly intelligence, and the pursuit of liberation.</span></p> <p><span style="font-size: 14.0pt;">This paper presents an interpretive study of selected teachings from the <em>Vaani Ji</em>, with particular attention to a Pad beginning with the idea that a person may regret at the time of death having failed to employ his intelligence in spiritual remembrance. The teaching challenges the conventional understanding of intelligence and success by suggesting that worldly cleverness has limited value when it is disconnected from awareness of mortality and spiritual purpose. From a mindfulness perspective, the text can be interpreted as an invitation to remain conscious of the present human condition rather than becoming completely absorbed in material concerns. From a spiritual perspective, remembrance (<em>sumiran/bhajan</em>) becomes a disciplined practice through which the individual redirects attention from external preoccupations toward inner consciousness.</span></p> <p><span style="font-size: 14.0pt;">The paper argues that the Vaani of Sukhramji Maharaj can be productively examined as a vernacular contemplative tradition in which <strong>mortality awareness functions not as a source of fear but as a catalyst for spiritual awakening</strong>. The study further explores the relationship between attention, remembrance, self-awareness, ethical discipline and liberation. By bringing this relatively less explored spiritual literature into academic discussion, the paper contributes to the broader understanding of Indian approaches to mindfulness and spirituality.</span></p> Dr. Jyoti Shekhar Jakhete Shriya Kogta Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 8 13 Self-Exploration, Mindfulness and Human Consciousness: An Empirical Study of Their Role in Enhancing Holistic Well-Being https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2385 <p>There are many factors that contribute to well-being, and they are beyond just having material wealth, including self-awareness, inner harmony, meaningful relationship and a meaningful way of life. This research investigates the connections between self-exploration, mindfulness, human consciousness and holistic wellbeing and suggests a holistic model of research using the self-exploration → mindfulness → human consciousness → holistic wellbeing path. The research was descriptive type and analytical approach. Primary data obtained were structured questionnaires taken via Google Forms and direct contact, out of 280 questionnaires sent 136 valid questionnaires were received. All four constructs had good scale internal consistency, according to reliability analysis, with Cronbach's alpha values ranging from 0.881 to 0.900. Regression analysis was used to examine the hypotheses. The findings demonstrated that human consciousness significantly influences holistic well-being (R = 0.641, R² = 0.411, p &lt; 0.001), self-exploration significantly and favorably affects mindfulness (R = 0.617, R² = 0.380, p &lt; 0.001), and mindfulness significantly influences human consciousness (R = 0.634, R² = 0.402, p &lt; 0.001).There was also a statistically significant integrated model (R = 0.661, R² = 0.436, Adjusted R² = 0.424, p &lt; 0.001) which accounted for 43.6% of the variance in holistic well-being. The results validate all four alternative hypothesis and show that there are significant links between self-exploration, mindfulness and human consciousness and holistic well-being. The proposed model offers a conceptual and empirical perspective on the potential role of inner awareness and conscious development in the overall well-being</p> Kavita P Patil Saroj B Patil Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 29 33 SPIRITUALITY & HUMAN DEVELOPMENT https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2389 <p>Spirituality has long played a central role in human growth, offering individuals a sense of purpose, inner peace, and connection beyond material existence. As modern life becomes increasingly fast-paced and technology-driven, interest in spirituality as a pathway to holistic human development has grown significantly. This paper explores the relationship between spirituality and various dimensions of human development, including emotional resilience, psychological well-being, moral reasoning, and social harmony. Spiritual practices such as meditation, mindfulness, self-reflection, and value-based living contribute to reducing stress, enhancing empathy, and fostering a deeper understanding of one's identity and purpose. Furthermore, spirituality encourages ethical decision-making and strengthens interpersonal relationships, thereby supporting community well-being and social cohesion. In educational and professional settings, integrating spiritual awareness has been shown to improve focus, creativity, and overall life satisfaction. However, the subjective and culturally diverse nature of spirituality also presents challenges in standardizing its role within formal developmental frameworks. This paper emphasizes that fostering spiritual awareness alongside intellectual and physical growth can lead to more balanced, meaningful, and fulfilling human development. Ultimately, embracing spirituality as a complementary dimension to conventional development models may pave the way for a more compassionate, self-aware, and resilient society.</p> Mohit Udaysing Patil Huzefa Khalique Patel Bhushan Balu Patil Rohit Lalit Mahajan Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 60 63 Effect of Screen time on mental health https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2393 <p><em>The rapid rise of digital technologies has significantly increased daily screen exposure across all age groups. While screens play a vital role in education, work, and social connectivity, excessive screen time has raised concerns about its impact on mental health. This study explores the relationship between prolonged screen use and psychological outcomes such as stress, anxiety, depression, and reduced attention span. The paper reviews existing literature, analyzes primary data from targeted groups, and highlights both the positive and negative dimensions of screen engagement. Findings indicate that excessive screen time is strongly associated with sleep disturbances, emotional imbalance, and social isolation, whereas moderate, purposeful use can enhance learning and communication. The study emphasizes the need for awareness, healthy digital habits, and preventive interventions to reduce mental health risks. Recommendations are provided for students, parents, and professionals to balance digital consumption with overall well being.</em></p> Sandali Sunil Bhadane Payal Anil Tiwari Sakshi Nivrutti Dhoran Nikita Suresh Tayade Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 72 76 Mindful Scaling and Resilient Pivoting: Executive Mindfulness in High-Growth Startups https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2403 <p>This paper examines the macro-landscape of private tech valuations—specifically Unicorns (≥</p> <p>$1B) and Decacorns (≥ $10B)—alongside the micro-psychological mechanisms of executive leadership under conditions of extreme uncertainty. Integrating venture capital tracking metrics with cognitive neuroscience and behavioral decision theory, we explore the dual role of</p> <p>executive mindfulness. First, we examine how mindfulness-based emotional regulation mitigates executive overconfidence, herding, and reactive pivot delays during hyper-growth scaling in mega-valued startups. Second, we evaluate mindfulness as a psychological buffer during</p> <p>organizational failure, facilitating post-mortem learning, decoupling founder ego from insolvency, and accelerating adaptive pivoting. We present a theoretical drift-diffusion</p> <p>framework for founder decision-making under stress, establishing executive mindfulness as a core determinant of venture sustainability and post-failure recovery.</p> Pratiksha Jain Shreyans Gadiya Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 34 38 Transforming Women’s Empowerment through Emerging Technologies: The Role of Augmented and Virtual Reality in Digital Inclusion https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2405 <p>The fast development of Information Technology (IT) is influencing the way of women's access to education, employment, entrepreneurship, healthcare-related information, financial services, and social interaction. However, the digital revolution does not apply evenly across the globe. In many countries, women and girls face difficulties connected with access to internet, devices, digital skills, norms, safety, and unequal participation. AR and VR are offering new opportunities, because these technologies have the capability to create immersive, visual and practice-based digital environment. This paper looks at how AR and VR can empower women through their digital inclusion, paying specific attention to education, digital and professional skills development, employability, entrepreneurship, STEM exposure,</p> <p>healthcare-related learning, confidence-building and social participation. The study applies a secondary, conceptual and analytical methodology based on the literature review and evidence provided by international organizations. The analysis reveals a great potential of immersive technologies for experiential learning, job practice, training, remote teaching, product visualization, networking, and confidence building. At the same time, the study admits that advanced technologies will reproduce inequality without basic digital access. Main concerns are related to affordability, connectivity, digital literacy, accessibility, privacy, cybersecurity, technology-facilitated violence, and absence of gender-sensitive content. Therefore, the paper suggests a staged inclusion strategy starting from connectivity and digital literacy and following affordable devices, AR/VR exposure, skills development, and economic opportunities. The conclusion is that AR and VR should be incorporated in broader women's digital inclusion programs rather than used as standalone tools.</p> <p>&nbsp;</p> Kalyani Neve Paul Nikita Warke Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 50 55 The Role of E-Commerce in Industry 4.0 in Strengthening Economic Civics among UPI Students https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2487 <p>This research is driven by the advancements in the digital world, which have brought about significant changes in the economic system.The transformations in the economic aspect of life caused by the digital world offer various opportunities for citizens to enhance their economic citizenship.Developing economic civics is a crucial issue when it comes to utilizing technology in the context of Industry 4.0, especially with the rise of online markets, commonly known as e-commerce.The data indicates that Indonesia has seen substantial growth in the value of electronic commerce.Recognizing the great potential for business transactions through e-commerce, it is essential for every citizen to take advantage of these opportunities to improve their economic strength, particularly among young citizens such as students.Based on this context, the researcher decided to conduct this study to address the aforementioned issue.The purpose of this study is to examine how the citizenship economy can be strengthened in the Industry 4.0 era for UPI students through the use of e-commerce.This research employs a qualitative approach using a literature review method.The data collection methods included interviews, observations, document analysis, literature study, and field notes.The findings of this study are expected to help students develop their skills in effectively using e-commerce to strengthen the citizen economy and achieve prosperity, thereby contributing to the realization of national development goals.</p> Nikita Mandhan Rupali Yewele Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 25 28 Local Adaptations of a National Brand: Insights from Swarnika Jewels, Jalgaon https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2427 <p><em>The Shivalankar Jewels franchise in Jalgaon, Maharashtra, offers a compelling case study of how a nationally renowned luxury jewelry brand adapts to a highly competitive regional market. Shivalankar Jewels blends contemporary and traditional designs, leveraging its franchise model to penetrate diverse markets. Jalgaon, known as the “Gold City of Asia,” presents unique challenges, including intense competition from over 100 local goldsmiths renowned for their craftsmanship and the purity of their offerings. This study explores how Swarnika's Shivalankar Jewels franchise navigates these challenges by aligning the brand's national standards with Jalgaon's cultural and economic nuances. Findings reveal that Shivalankar Jewels Jalgaon employs culturally resonant marketing strategies, such as promoting collections during festivals and customizing designs to align with local preferences. The franchise emphasizes hallmark-certified purity, transparency, and customer-centric services, fostering loyalty despite the dominance of local artisans. Challenges include overcoming price sensitivity, building trust in a market with deeply ingrained preferences for traditional goldsmiths, and addressing perceptions of standardized designs. This research underscores the significance of localized branding within a national framework, offering insights into effective franchise management in smaller markets. The findings have broader implications for luxury retail brands aiming to expand in culturally distinct and price-sensitive regions, emphasizing the importance of adaptability, community engagement, and strategic marketing.</em></p> Mukesh Ahirrao Vishal Sunil Rana Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-10-01 2026-10-01 2 2 81 85 Causes and Effects of Drug Abuse Among Youth https://thejournalshouse.com/index.php/Journal-Machine-Learning/article/view/2490 <p>Drug abuse among youth is a serious social and public health concern that can negatively affect individuals, families, educational institutions, and society. Adolescence and young adulthood are important stages of physical, psychological, and social development. During this period, young people may become vulnerable to substance use because of peer pressure, curiosity, stress, family problems, social influence, lack of awareness, and other environmental factors. Early initiation of substance use is particularly concerning because it is associated with a greater risk of harmful use and substance use disorders later in life. This research paper examines the major causes and effects of drug abuse among youth through a review of available literature and information published by recognized health and international organizations. The study focuses on peer groups, family environment, academic and emotional stress, curiosity, social surroundings, and inadequate awareness. It also discusses physical, psychological, academic, social, and financial consequences associated with harmful substance use. The paper further examines preventive measures involving families, educational institutions, healthcare professionals, communities, and policymakers. Awareness programmes, supportive family relationships, counselling, life-skills education, early intervention, and evidence-based prevention strategies can contribute to reducing harmful substance use among youth. A coordinated and health-centred approach is necessary to promote the well-being and healthy development of young people.</p> Sakshi Dhanraj Thakare Aaqib Moinoddin Beldar Vivek Arun Tayade Rehan Ashfaq Pathan Copyright (c) 2026 International Journal of Advanced Research in Artificial Intelligence and Machine Learning Reviews 2026-09-30 2026-09-30 2 2 39 43