Volume 14 | Issue 5

 Abstract

Career guidance is an integral yet underrepresented part of education that helps students decide on what course they want to pursue post-secondary. In India, career guidance for students is either not available or available to only some extent because students do not have structured guidance. Moreover, the traditional career guidance is generic, sporadic, and does not cater to personal preferences of the students. This paper proposes the design and development of an Artificial Intelligence-powered Career Guidance Platform known as AI Guruji. This platform uses various features like AI, psychometric assessment, and conversation-based recommendation engines to offer personalized career recommendations to the users based on their profile and preferences. Some of the technical aspects of this platform include React18 as a frontend, Nodejs Backend, Supabase Database, and Gemini AI-powered recommendation engine. The users go through multidimensional psychometric assessments of interest, aptitude, and unconventional careers along with chatbot-powered career guidance. The user validation test revealed that most of the time students receive no career guidance at school. Moreover, all the respondents expressed an immense desire for AI Career Guidance.

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 Keywords

AI Career Guidance, Psychometric Assessment, Gemini API, NLP, Personalized Recommendation, Conversational Chatbot

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ABSTRACT Background: The COVID-19 pandemic caused significant psychological distress among healthcare workers. Psychological First Aid (PFA) is an early intervention that helps reduce distress and improve coping abilities. Methods: A pre-experimental one-group pre-test and post-test design was conducted among 40 staff nurses on COVID-19 duty in selected hospitals in Bengaluru. Participants were selected using purposive sampling. A structured knowledge questionnaire was used for data collection. After the pre-test, a Structured Teaching Programme (STP) was administered, and a post-test was conducted after 7 days.Results: The mean pre-test knowledge score was 12.3%, which increased to 22.34% in the post-test, showing an improvement of 10.04%. The difference was statistically significant at the 5% level. No significant association was found between pre-test knowledge and socio-demographic variables (P > 0.05). Conclusion: The study revealed inadequate knowledge among staff nurses, and STP was effective in improving knowledge regarding PFA.

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Key words:PFA- psychological first aid, STP-structured teaching programme

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ABSTRACT Background: Covid-19 is really an infectious disease caused by a recently discovered corona virus. The majority of Covid-19 virus-infected individuals will develop mild to severe respiratory disease and recover without the need for special care. The elderly and individuals who have underlying medical diseases such cancer, diabetes, lung disease, and cardiovascular disease are more prone to have serious illnesses. COVID-19 affects different people in different ways. Methods: In this study quantitative approach with pre-experimental research design was used. The setting of the study was selected rural area of Valsad district. Sample size was 30. In this study non-probability sampling technique convenient sampling technique was done. Structured questionnaire was used. Data analysis was done mainly using descriptive statistics paired t -test for hypothetical testing and chi square test was done for association. Result: The present study evaluates the knowledge of post COVID patients regarding prevention of post COVID complications and found that 13.33% of the samples had poor knowledge 80% of people had average knowledge and 6.67% of people had good knowledge in the pre-test. The overall mean percentage of knowledge in pre-test was 9.36 with the standard deviation of 3.52. In the post test the overall mean percentage of knowledge in post-test was 14.5 with the standard deviation of 3.98. Conclusion: Analysis data shows that the post test knowledge score has significantly higher than the pre test knowledge score at p < 0.05 level of significance i.e. mean difference is 5.19. There was a significant improvement in knowledge of post COVID patients. The study revealed that structured teaching programme was observed to be very effective method to improving knowledge on prevention of post COVID complications.

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Knowledge, Prevention, Post, Covid, Complication

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This paper explores the connection between Vincent Van Gogh's painting visual components and emotional expression. Van Gogh, a prominent character in Post-Impressionism, developed a unique style that prioritized subjective experience over accurate portrayal. A qualitative approach based on careful visual inspection of pieces of art is used in the study. It draws attention to the ways that differences in color, texture, and brushstrokes help to express emotional depth. The results show that Van Gogh's artistic approach has had a major impact on the development of modern art and functions as a medium for conveying inner states. Keywords: Vincent van Gogh, Post impressionism, Color dynamics, emotional expression, art analysis.

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Keywords: Vincent van Gogh, Post impressionism, Color dynamics, emotional expression, art analysis.

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The number of elderly people in society is increasing rapidly, and this has created new challenges related to their safety, health, and overall well-being. Many elderly individuals today prefer to live independently, but this also makes them more vulnerable to risks such as falls, medical emergencies, and delayed help. This study focuses on smart safety bracelets as a possible solution to these problems and tries to understand how people perceive and accept such devices. The research is based on secondary data collected from reports, articles, and existing studies related to elderly care and wearable technology. It mainly looks at how consumers, especially family members and caregivers, think about these devices and what factors influence their decision to buy them. Things like ease of use, cost, trust in technology, and usefulness play an important role, along with emotional factors like safety and peace of mind.

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 Keywords

o HEALTH o SAFETY o ELDERLY o BRACELET o EMERGENCY o WATCH

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Distributed Denial of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) plays a crucial role in safeguarding network infrastructure from malicious attacks. In this study, The CICIDS dataset is employed to assess the performance of different machine learning and deep learning techniques in identifying DDoS-related anomalies.The techniques explored include The research incorporates time-dependent neural architectures, notably Recurrent Neural Networks, Long Short-Term Memory models, and Gated Recurrent Units.Bidirectional LSTM (BiLSTM), Convolutional Neural Networks (CNN), CNN+BiLSTM, Support Vector Machines (SVM), Random Forest, AdaBoost, XGBoost, Decision Trees, Logistic Regression, KNearest Neighbors (KNN), and a Voting Classifier. Among Among the evaluated models, the Voting Classifier achieved the best results, delivering higher accuracy and surpassing other techniques in precision, recall, and F1-score. The findings emphasize the strength of ensemble learning in improving DDoS anomaly detection., thereby providing a robust solution for network security in SDNs. The findings suggest that the Voting Classifier represents a strong candidate for future investigations in SDN-based anomaly detection.

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distributed denial of service, Anomaly detection, software defined networks, deep leaning, machine learning, CICIDS dataset, voting classifier.

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U-clamps are widely used mechanical components for supporting and securing pipes, tubes, and cylindrical structures in various engineering applications. Despite their simple geometry, they are subjected to complex loading conditions that may lead to stress concentration, deformation, and possible failure. Therefore, a detailed structural investigation is necessary to ensure safe and efficient performance. In this study, a U-clamp is analysed using the Finite Element Method to evaluate its structural behaviour under different loading conditions. The analysis includes static structural analysis to determine stress distribution and deformation, along with modal analysis to study the vibration characteristics of the component. Two different cases are considered by varying geometric parameters such as diameter and mass to observe their effect on structural response. The results indicate that maximum stress occurs at the curved region of the U-clamp due to bending effects, while deformation increases with higher applied loads and lower stiffness. In modal analysis, the natural frequency is found to be dependent on the ratio of stiffness to mass, where an increase in stiffness raises the natural frequency, and an increase in mass reduces it. The mode shapes represent relative vibration patterns rather than actual displacement under loading. Overall, the study provides a clear understanding of the mechanical behaviour of U-clamps and highlights the importance of proper design selection. The findings can be used to improve structural strength, reduce failure risk, and optimize the design for better performance in real-world applications.

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FEA, U- CLAMP, OPTISTRUCT, Modal Analysis,static analysis.

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Campus security is a major concern in educational institutions due to the increasing number of students, staff, and visitors. Traditional manual gatepass systems are time-consuming, error-prone, and difficult to monitor effectively. This project proposes a Digital Gatepass Automation System that replaces the manual process with a secure, efficient, and paperless solution. The system allows students and visitors to request gatepasses digitally, which are approved by authorized personnel and verified at entry and exit points using QR codes or unique IDs. Real-time data storage, access control, and automated logs help administrators track movements within the campus. The proposed system enhances security, improves transparency, reduces human effort, and ensures better monitoring of campus activities. Keywords: Digital Gatepass, Campus Security, QR Code, Automation System, Access Control, Smart Campus

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Digital Gatepass, Campus Security, QR Code, Automation System, Access Control, Smart Campus

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This study explores the perceived challenges and motivational strategies of university students in English language learning environments. Focusing on the development of core language skills reading, writing, listening, and speaking the research adopts a mixed-methods design to investigate how students navigate instructional, affective, and environmental barriers in English preparatory and ELT programs. Quantitative data, gathered from 122 students through a standardized difficulty scale, revealed an overall low level of perceived challenge; however, specific difficulties were reported in vocabulary acquisition, pronunciation, and productive skills such as speaking and writing. Qualitative responses provided further insight into learner motivation, emphasizing the role of future goals, enjoyment, and peer interaction. Students frequently referenced self-initiated strategies, including the use of digital tools, music, and conversations, to supplement classroom instruction. The findings highlight the importance of creating supportive, engaging, and learner-centered environments that address both instructional and emotional dimensions of language learning.

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English language learning, learner perceptions, learning environment, speaking anxiety, motivation, vocabulary, university students

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In the secluded courtyards of Amroha, the history of the Gurjar community is not written; it is sung. While formal historiography remains preoccupied with macro-narratives of caste politics and land ownership, the domestic interiority and intellectual lives of rural women exist as a silent, unmapped archive. This paper addresses the academic erasure by treating Gurjar women's wedding songs as a living archive of social transition. By documenting and analyzing a curated collection of folk lyrics, the study positions these performative practices as primary sources that revealed the shifting objectives of women often excluded from elite chronicles. Using three thematic lenses- ritual sanctity, domestic subversion, and the negotiation of romantic choice, the research demonstrates how these songs function as a hidden transcript. The analysis explores how women utilize humor, parody, and rhythmic reputation to articulate positions and household hierarchies that are frequently silenced informal pros. Ultimately, this work argues that preserving these voices is a critical act of cultural sustainability. By bridging the gap between the village courtyard and academic discourse, the paper ensures that these gender histories are not erased, providing a necessary counter narrative to the standard documentation of rural India.

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folklore history, oral tradition, historical memory, Gurjar kinship, wedding rituals, gender

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Effective nurse-patient communication is a fundamental component of quality healthcare and plays a crucial role in patient recovery. This article examines how communication influences patient outcomes, satisfaction, and adherence to treatment plans. A descriptive research methodology was used, combining literature analysis and observational insights from clinical settings. The findings indicate that clear, empathetic, and consistent communication improves recovery rates, reduces anxiety, and enhances patient trust. Despite its importance, barriers such as workload, time constraints, and language differences affect communication quality. Strengthening communication skills through training and institutional support is recommended to improve overall nursing care.

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Nursing care, patient recovery, communication skills, patient satisfaction, healthcare quality

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In today's globalized economy, organizations are increasingly characterized by culturally diverse workforces. While this diversity fosters innovation, creativity, and a broader range of perspectives, it also presents challenges in communication, collaboration, and management. Cultural differences influence key aspects of workplace behavior, including communication styles, leadership expectations, decision-making processes, and perceptions of authority and teamwork. This white paper examines common cross-cultural workplace scenarios to understand how cultural variations affect professional interactions. The analysis identifies miscommunication, differing attitudes toward hierarchy, and contrasting views on time management and teamwork as primary sources of conflict in multicultural environments. Additionally, employees from diverse backgrounds often interpret participation, feedback, and leadership differently, which can lead to misunderstandings if not effectively addressed. To mitigate these challenges, the white paper recommends implementing cultural awareness training, promoting inclusive leadership practices, and establishing structured communication strategies. It also emphasizes the importance of adopting flexible management approaches that respect cultural diversity while ensuring clarity in organizational expectations. By fostering mutual understanding, adaptability, and inclusivity, organizations can transform cultural differences into a strategic advantage. Ultimately, effective cross-cultural management is essential for enhancing workplace harmony, improving productivity, and strengthening global competitiveness.

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Cross-cultural workplace ,Cultural diversity, Globalized economy, Workplace communication, Multicultural organizations , Professional interactions , Workplace behaviour ,Cross-cultural management

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Exploring Word-Play And Poetic Techniques In Kay Ryan's 'Turtle' Dr. Kirandeep Kaur Assistant Professor, T.S.G.G.S. Khalsa College Amritsar (Pb.), India ABSTRACT Poets create music by using different poetic techniques and word-play in poetry. Kay Ryan is one of them who has made a simple poem 'Turtle' magical by using appropriate words and techniques in describing a turtle's sluggish life journey, her stony appearance and her perseverance to overcome the hurdles on the way to success. This paper aims to explore her style in this metaphorical poem by focusing on the word-play and poetic techniques. Kay Ryan is an American poet who has published several volumes of poetry. From 2008-2010, she remained Poet Laureate of United States. She won the Pulitzer Prize for her book "The Best of It: New and Selected Poems" (2011, Grove Press 2010). It was described as a corpus stretching across forty-five years, humorous, defiant yet tender, literary output of a jovial mind. In 'Turtle', she uses the animal as a metaphor for human struggle. During one of her lectures, she admitted that she wrote 'Turtle' when she felt that her life was as sluggish and dreary as that of a turtle. She wanted things to happen fast in her life, but sadly, it did not happen. So, 'Turtle' becomes a metaphor for human struggle and perseverance. With the help of word play, she creates images to describe the animal as hard- shelled, slow moving and clumsy creature. However, in the end of the poem she acknowledges her perseverance in getting what she wants. This fifteen lined poem is written in free verse, making use of half-rhyme; there is repetition of vowel sounds like "graces" and "places" (lines 4-5) and consonant - sounds like "slope" and "hope" (lines 6-7). She delights in surprising readers by what she her-self calls "recombinant rhyme" where one word would rhyme with the back of another one. Her opinion is that words want to be together. Internal rhyme repeats itself three time: "four- oared" (line-2) "afford" (line-3), and "towards" (line-4). She makes use of alliteration, personification and enjambment. Alliteration involves the repetition of the same consonant sound at the beginning of closely connected words, enhancing musicality. For example, "hard" and "helmet" in lines (2-4) and "grasses" and "graceless" in lines(4-5) Poet's choice in referring 'Turtle' as "she" gives her human characteristics like becoming frustrated, tired, and patient. So, 'Turtle' and a human being become co-related. Continuation of a sentence without a pause beyond the end of a line or stanza or phrase, forces the reader to shift glance quickly to the next line. This technique is known as enjambment and the poet has used it throughout the poem for example, transition between lines 3-4 and also in lines 5-6. This poem leaves a powerful message that a person does not need to be fast paced to achieve the target; he just needs to keep moving slowly but consistently to achieve the goal. Slow and steady wins the race. The poet has successfully turned an ordinary poem into an enticing one where reader needs to move quickly to the next line to finish the poem. Her style has made the poem worth reading as it lends a charm to the persona of an ordinary creature.

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Key Words:- Word-Play, Poetic Technique , Recombinant , Enjambment , Half-rhyme.

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Parkinson's disease is a progressive neurodegenerative disorder characterized by bradykinesia, rigidity, tremor, and postural instability, leading to impaired functional mobility and increased risk of falls. Turning difficulties are a major contributor to falls and reduced quality of life in affected individuals. This study aimed to evaluate the effectiveness of specific exercises combined with a novel turning program in improving the quality of turning in daily life among individuals with Parkinson's disease.Ten participants aged 50-60 years, diagnosed with idiopathic Parkinson's disease (Hoehn and Yahr stages II-III), were recruited. The intervention was conducted over six weeks, with three sessions per week, each lasting 30-45 minutes. Outcome measures included the Falls Efficacy Scale-International (FES-I) and Parkinson's Disease Questionnaire-39 (PDQ-39), assessed before and after intervention.The treatment protocol consisted of balance training, strengthening, functional mobility exercises, and a novel turning program incorporating figure-of-eight walking, axial mobility exercises, obstacle negotiation, and dual-task activities. Results demonstrated consistent improvements in FES-I and PDQ-39 scores across all participants, indicating reduced fear of falling and enhanced quality of life. The study concludes that the combined intervention effectively improves turning ability and functional mobility in individuals with Parkinson's disease.

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Parkinson, Novel exercise, FES questioner

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Cybersecurity threats have become increasingly sophisticated in the digital era, creating the need for intelligent and adaptive security systems. Traditional cyber defense systems often rely on static rules and manual supervision, which limits their ability to detect emerging threats effectively. To address these challenges, this project presents AegisOS, an AI-based multi-interface cyber defense system designed to detect malicious cyber activity using machine learning while providing multiple methods of user interaction. The proposed system uses the Random Forest Classifier trained on the NSL-KDD dataset to identify suspicious network behavior. It integrates a graphical user interface (GUI) for visual interaction, a voice assistant module for hands-free operation, and a web interface for remote access. These features improve usability, accessibility, and monitoring efficiency. AegisOS demonstrates how artificial intelligence and multi-interface accessibility can be combined to create an interactive cyber defense platform. The project serves as a prototype for future intelligent security systems that can provide adaptive threat detection with user-friendly operation.

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Artificial Intelligence (AI), Machine Learning (ML), Intrusion Detection System (IDS), Network Security, Cybersecurity, Anomaly Detection

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The study titled "Psycho-Social Impact of Marital Conflict on Women's Mental Health" aims to examine the psychological and social challenges experienced by women facing marital conflict. Marriage is considered a fundamental social institution that ideally provides emotional support, stability, and companionship; however, persistent marital conflict can significantly affect the mental health and overall well-being of women. The study focuses on understanding the emotional, psychological, and social consequences such as stress, anxiety, depression, social isolation, and reduced self-esteem among women. A descriptive research design was adopted to study the existing conditions without manipulation. The universe of the study includes married women experiencing marital conflict, and a total of 50 respondents were selected using purposive sampling. Primary data was collected through a structured questionnaire, while secondary data was gathered from books, journals, and online sources. A pilot study and pre-test were conducted to ensure the reliability and clarity of the tool. The findings indicate that marital conflict leads to significant psychological distress, emotional imbalance, and social challenges among women. The study emphasizes the need for counselling services, awareness programs, and effective support systems to enhance women's mental health and overall well-being.

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Marital conflict, Women's mental health, psychiatric social work

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The Doctor Appointment Booking System is a digital healthcare platform designed to enhance clinical decision making, improve service transparency, and provide real-time support for patients and healthcare providers. The platform integrates patients, doctors, healthcare administrators, and support staff into a unified system to enable efficient communication, information sharing, and appointment management. It offers real time visibility of doctor availability and appointment schedules, helping patients make informed booking decisions while reducing administrative overhead and waiting times. A Smart Appointment Scheduler assists patients in planning consultations by providing timely reminders and notifications related to booking confirmations, rescheduling, and follow-ups. The system includes modules for Symptom-Based Doctor Recommendation and Medical History Management, which support early identification of health concerns and ensure continuity of care through structured patient records. An AI-based Virtual Health Assistant provides preliminary guidance, answers common health-related queries, and routes complex cases to appropriate medical professionals.

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Digital Healthcare Platform, MERN Stack Development, Smart Appointment Scheduling, AI Virtual Health Assistant, Symptom-Based Recommendation, Electronic Health Records (EHR), Patient Activity Monitoring, Healthcare Decision Support System

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This study examines the strategic role of language in constructing a distinct Behari regional identity during the late nineteenth and early twentieth centuries under colonial rule. Unlike the organic linguistic nationalism of Europe or Bengal, the multilingual landscape of Bihar encompassing Maithili, Magahi, and Bhojpuri. It was deliberately reshaped by an emerging educated middle class of Kayasthas, Bhumihars, Rajputs, and Muslim ashrafs. Marginalized within Bengal Presidency, this elite rejected philological realities documented by George A. Grierson, who classified Bihari dialects as distinct from Hindi and closer to Bengali-Odia. Instead, they adopted Khari Boli Hindi in Devanagari script as a unifying public vernacular, subordinating local tongues to challenge Bengali administrative and cultural hegemony. The Hindi-Nagri movement marked the pivotal phase, transforming script politics from Persian dominance to Nagari adoption via Lieutenant-Governor George Campbell's vernacular push and the 1880 Bengal Resolution mandating its use in Patna and Bhagalpur courts. Newspapers like Bihar Bandhu (1872) and Bihar Times (1894), alongside presses such as Khadag Vilas, standardized Sanskritized Hindi, fostering a public sphere while relegating dialects to the domestic realm. Figures like Ayodhya Prasad Khatri radicalized the Hindi canon, advocating Khari Boli poetry to bridge Hindu-Muslim divides and align Bihar with the North-Western Provinces' Hindi heartland. This linguistic maneuver countered Bengali claims of affinity, framed Bihar's "internal colonization," and justified separation demands in works like Mahesh Narayan and Sachchidananda Sinha's The Partition of Bengal or the Separation of Bihar? (1906). Educational disparities--Patna College's late founding (1863)--further propelled Hindi-medium advocacy for local autonomy. Culminating in Bihar's 1912 partition, this constructed identity prioritized political viability over cultural authenticity, sowing seeds of postcolonial linguistic alienation. The paper draws on archival resolutions, periodicals, and Grierson's surveys to illuminate elite agency in regional formation.

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Behari identity, Hindi-Nagri movement, language politics, colonial Bihar, regional consciousness, Khari Boli, Devanagari script

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Skin aging can happen because of genetics or things like pollution, sunlight, and oxidative stress. People are more interested in cosmetics that use natural ingredients these days because they are safer and better for the environment. Punica granatum, or pomegranate peels, are often thrown away, but they have important phytochemicals like punicalagin, ellagic acid, gallic acid, and flavonoids. These substances are very good at fighting free radicals, inflammation, and aging. This review discusses the integration of pomegranate peel extract into serum formulation to achieve anti-aging properties. It involves getting pomegranate peels out of the fruit and testing their phytochemicals, as well as making and testing serum.

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pomegranate peel, punica granatum, anti-aging serum, natural ingredients, herbal cosmetics

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This study assesses the awareness of patient rights and responsibilities among hospital staff using a descriptive cross-sectional design. Data was collected from 30-35 respondents through a structured questionnaire and analyzed using descriptive statistics. The findings indicate a moderate level of awareness, with good knowledge of basic rights but gaps in areas like informed consent and patient responsibilities. The study highlights the need for regular training and improved communication to enhance patient care quality.

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Patient Rights, Patient Responsibilities, Staff Awareness, Healthcare Quality, Patient Safety, Hospital Management, Communication, Ethical Practice

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