Volume 13 | Issue 3 |

 Abstract

The study examines the challenges students face in accessing affordable and convenient mess facilities, accommodations, and transportation, impacting their campus experience. Through surveys and feedback, it identifies key issues and proposes solutions to enhance accessibility, affordability, and quality. The goal is to create a supportive infrastructure that reduces stress, improves student well-being, and fosters a better academic environment.

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 Keywords

Student challenges ,Mess facilities, Accommodations, Transportation services, Accessibility. Affordability,Surveys and feedback, Infrastructure development Campus well-being Android application ,Machine Learning ,Cloud Computing , GPS integration Resource optimization

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This study examines the behavioral determinants influencing the purchase intention for green products in Haryana. The research aims to understand the role of environmental concern, perceived consumer effectiveness, social influence, green trust, and attitudes toward green products in shaping consumer behavior. Additionally, behavioral factors such as price perception, product knowledge, availability, and past purchase behavior are analyzed. The study employs a quantitative approach with a sample size of 100 respondents. Data will be analyzed using ANOVA and t-tests to assess the impact of demographic variables and key determinants on consumer purchase intention. The findings will provide valuable insights for marketers and policymakers to design effective strategies for promoting green product consumption. By understanding these determinants, businesses can enhance consumer engagement and drive sustainable purchasing behavior, contributing to environmental sustainability. The study underscores the importance of targeted awareness campaigns, improved product accessibility, and transparent sustainability claims in influencing consumer decision-making.

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 Keywords

Purchase Intention; Green Products; Consumer Behavior; Determinants; Sustainability; Environmental Awareness

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Tribal culture features a rich blend of traditional knowledge and strong community bonds, evident through various customs and rituals that reflect a harmonious relationship with the natural environment.The practices that emerge within the rhythm of tribal life serve as dynamic manifestations of identity, embodying a deep-rooted link to ancestry and the lasting essence of communal spirit. This paper examines the affluent and diverse cultural arras of five tribal communities in India, providing a extensive investigation of their customs, traditions, languages, literature, ethnic identities, folklore, myths, legends, and the pivotal role of tribal women in practicing and preserving these cultural traditions. The five tribes discussed in this paper are the Gond, Santhal, Khasi, Bhil and Warli. It also aim to gain a profound understanding of the cultural mosaic that is India, focusing on the contributions of tribal women in the preservation of these traditions. This paper aims to conduct a thorough analysis to find the complexities of the customs and traditions of these tribes. It will highlight their distinctive languages and the literature that reflects their cultural expressions. The study will also analyze the formation and evolution of ethnic identities within these tribes, providing insights into their social structures.

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Keywords: Tribal culture, rituals, customs, folklore, ethnic identities, tribal women

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This study aims to explore how chatbots have completely transformed customer services. To understand how AI-powered chatbots provide individualized interactions that increase customer happiness, their capacity to manage several requests at once increases productivity. This study examines how chatbots affect customer happiness by examining their advantages, drawbacks, and optimal usage strategies.

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 Keywords

chatbot, customer satisfaction, anova, descriptive statistic

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Pama Kushta (scabies) is a highly contagious dermatological condition caused by Sarcoptes scabiei. Despite the availability of modern treatments providing symptomatic relief, challenges like recurrence and side effects persist, necessitating alternative approaches. This study evaluates the comparative efficacy of two Ayurvedic formulations, Durvaadi Taila and Tuvaraka Taila, in managing Pama Kushta through external application. A clinical trial was conducted with 40 participants, divided into two groups (Group A and Group B), treated with Durvaadi Taila and Tuvaraka Taila, respectively. Outcomes were assessed based on key symptoms, including Kandu (itching), Toda (pain), Daha (burning sensation), Pidaka (eruptions), and Srava (discharge). Statistical analysis revealed significant improvements in both groups across all parameters, with Group A demonstrating slightly higher average improvement (48.22%) compared to Group B (45.15%). The study concludes that while both treatments are effective and safe, Durvaadi Taila exhibited marginally superior efficacy. These findings highlight the potential of Ayurvedic interventions as viable alternatives for managing scabies, particularly in cases resistant to conventional therapies.

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 Keywords

Durvaadi Taila, Tuvaraka Taila, Pama Kushta

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This study presents a comparative analysis of the financial performance of two leading private sector banks in India, HDFC Bank and ICICI Bank, over a five-year period from 2019 to 2024. The research aims to evaluate key financial metrics, including profitability, liquidity, asset quality, and operational efficiency, to provide insights into the banks' performance and strategic positioning in the competitive banking landscape. The findings will help us understand the financial performance of both the banks, and will tell us which bank has potential for future gains. This research contributes to the understanding of the competitive dynamics within the Indian banking sector and provides valuable insights for investors, stakeholders, and policymakers regarding the financial health and strategic directions of HDFC and ICICI Banks.

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ICICI Bank, HDFC Bank, Ratio Analysis, Comparative Analysis, 5 Year Analysis

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This study explores the influence of customer online reviews on consumer purchasing behavior in the context of e-commerce. With the increasing reliance on digital platforms for shopping, online reviews have become a critical source of information that shapes consumer decision-making processes. The primary aim of this research is to analyze how online reviews--through their content, credibility, and sentiment--impact consumer perceptions and their subsequent purchasing decisions. Through a mixed-method approach, both qualitative and quantitative data were gathered, including the analysis of reviews on popular e-commerce websites, consumer surveys, and interviews. Key factors such as review ratings, text sentiment (positive or negative), reviewer credibility, and the volume of reviews were examined to assess their effect on trust, product evaluation, and purchase intent. The findings suggest that online reviews play a significant role in shaping consumer attitudes, with positive reviews fostering trust and increasing the likelihood of purchase, while negative reviews often deter buyers. Furthermore, the study identifies how factors such as review consistency, star ratings, and the perceived authenticity of the reviews influence consumer decisions. This research contributes to a deeper understanding of the psychological and behavioral dynamics of online shoppers and provides valuable insights for businesses seeking to enhance their digital marketing strategies by leveraging customer feedback to build trust and drive sales.

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 Keywords

Customer review, Buying behavior, Comparative analysis

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 Abstract

Background: Manyasthamba, commonly associated with cervical spondylosis in contemporary medicine, is a prevalent condition characterized by neck pain (Ruk) and stiffness (Stambha). It is understood in Ayurveda as a Vataja Nanatmaja Vyadhi caused by Vata and Kapha dosha imbalance. This study explores the combined efficacy of Mashabaladi Kwatha and Rasnashunthyadi Kwatha with Gudardraka Nasya in managing Manyasthamba. Objectives: To compare the effectiveness of Mashabaladi Kwatha with Gudardraka Nasya (Group A) and Rasnashunthyadi Kwatha with Gudardraka Nasya (Group B) in alleviating the symptoms of Manyasthamba. Methods: A total of 40 patients aged 30-70 years, diagnosed with Manyasthamba, were selected from the outpatient and inpatient departments of R.G.E.S.A.M.C & Hospital, Ron. The study employed a simple comparative prospective design with purposive sampling. Patients were randomly divided into two groups of 20 each. Group A received Mashabaladi Kwatha (25 ml twice daily before meals) and Gudardraka Nasya (6 bindu) for 8 days, while Group B received Rasnashunthyadi Kwatha and Gudardraka Nasya in similar dosages and duration. Both groups were observed over 24 days, including a 16-day follow-up period. Baseline and post-treatment assessments were conducted using subjective (Ruk and Stambha) and objective parameters (cervical joint mobility and muscle strength). Results were statistically analyzed using paired and unpaired t-tests. Results: In Group A, the mean reduction in Ruk was 33%, and Stambha was reduced by 59%, both statistically significant (p<0.05). Group B showed superior outcomes with a 53% reduction in Ruk and 74% in Stambha. Cervical joint mobility improved significantly in both groups, with flexion improving by 46% in Group A and 54% in Group B. Muscle strength exhibited a 56% improvement in Group A and 48% in Group B. Comparative analysis revealed Group B to be more effective overall, achieving 61.65% improvement compared to 47.45% in Group A. Conclusion: The study demonstrates that combining Rasnashunthyadi Kwatha with Gudardraka Nasya is more effective than Mashabaladi Kwatha in managing Manyasthamba. These findings emphasize the potential of integrating Ayurvedic interventions for cervical spondylosis-like conditions, offering a promising approach for alleviating symptoms and enhancing quality of life.

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 Keywords

Manyasthamba, cervical spondylosis, Mashabaladi Kwatha, Rasnashunthyadi Kwatha, Gudardraka Nasya

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Creative Commons Attribution 4.0 and The Open Definition

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Darunaka is explained under Kshudra rogas by Acharya Sushrutha and Kapalagata rogas by Acharya Vagbhata.It is manifested due to vitiation of Kapha and Vata,Pitta and Rakta and leading to lakshanas such as: Kandu(itching), Keshachyuti(hair fall), Swaapa(loss of sensation), Rookshata(dryness),and Twak sphutana(cracking). In modern medicine the treatment is available for this condition but that is so expensive which gives path for more efficacious management through Ayurveda. Ayurveda classics majorly emphasizes the bahya lepa upachara as a line of treatment in Darnunaka. However many remedies are described for Darunaka.Khakhasa beeja lepa is one of them..Khakhasa beeja lepa is easy for external application and easily available in the market..Hence, in the present study comparative clinical study for assessment of the effect of Khakhasa beeja lepa and Priyala beejadi lepa in the management of Darunaka was planned. 40 patients suffering from Darunaka were selected and divided into 2 groups, 20 patients in each group. In Group A- 20 patients were applied with Khakhasa beeja lepa for 30 days and in Group B-20 patients were applied with Priyala beejadi lepa for 30 days. Kandu, Keshachyuti, Swapa, Keshabhoomi sphutana, Rukshatha, were the assessment parameters. Group A (treated with Khakhasa beeja lepa) demonstrated a significant effect on all parameters of Darunaka. Group B (treated with Priyala beejadi lepa) also showed a significant effect on all parameters of Darunaka. The average percentage improvement in Group B was 51.04%, which is greater than the 43.40% improvement observed in Group A. The treatment with Priyala beejadi lepa (Group B) is more effective than Khakhasa beeja lepa (Group A) for managing Darunaka.

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 Keywords

Priyala beejadi lepa, Khakhasa beeja lepa, Darunaka

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Pneumonia is a severe respiratory infection that can be life-threatening if not diagnosed and treated early. This study presents a deep learning-based pneumonia detection system utilizing convolutional neural networks (CNNs) to analyze chest X-ray images for automated diagnosis. The system is designed to assist healthcare professionals by providing rapid and accurate predictions, distinguishing between normal and pneumonia-affected lungs. The model was trained using a labeled dataset of chest X-rays and deployed in a user-friendly web-based application using Flask. The application allows users to upload X-ray images, receive real-time predictions, and store patient data for future reference. The integration of artificial intelligence (AI) in medical imaging enhances diagnostic efficiency, reduces workload on radiologists, and supports timely medical intervention. This research demonstrates the potential of AI-driven solutions in healthcare, improving accessibility and accuracy in pneumonia diagnosis.

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 Keywords

Keywords-- Pneumonia Detection, Chest X-ray Analysis, Deep Learning, Convolutional Neural Networks (CNNs), Medical Imaging, AI in Healthcare, Flask Web Application.

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