Volume 13 | Issue 7

 Abstract

Personalized medicine recommendation systems are becoming increasingly popular for forecasting diseases and delivering customized health guidance on diet, workout routines, and medications. These systems prove highly beneficial, particularly in times of pandemics and natural disasters, by enabling remote healthcare solutions. By utilizing machine learning models such as Decision Tree, Random Forest, K-Means Clustering, and Hierarchical Clustering, the system processes patient data, including lifestyle patterns, symptoms, and health indicators, to provide precise disease predictions and comprehensive health recommendations. Experimental findings reveal that the Random Forest algorithm achieves 94.2% accuracy, surpassing the Decision Tree model (89.5%). Additionally, clustering techniques enhance patient classification, leading to more effective recommendations. This multi-model approach ensures a well-rounded and personalized health support system, significantly enhancing disease management. By offering accurate dietary suggestions, optimized workout plans, and suitable medications, the system promotes healthier living and strengthens preventive healthcare, ultimately leading to improved health recovery results.

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Machine learning, Decision Tree, Recommender Systems, Medications, Random Forest.

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Phytochemical analysis involves the determination of the presence of phytochemical constituents in the crude samples of the medicinal plants. Phytochemical tests are carried out first to establish the presence or otherwise of some specific phytochemicals. The plant also found to be rich in minerals such as Ca, P, K, Mg, Na, Cl, S Mn, Zn, Fe, Cu, Se, Co, Ni and Cr. The agar well diffusion method was used to determine the antibacterial activity using Bauer-Kirby method (Bauer et al., 1966). The different extracts from different plant parts of A. reticulata were screened for antibacterial activity against five clinically important bacteria. These bacteria were procured from National Collection for Industrial Microorganism (NCIM), India and American Type Culture Collection (ATCC), USA Among test bacteria three Gram negative bacteria i.e. Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa were used while among Gram positive bacteria Staphylococcus aurous and Streptococcus pneumonia were used. The pure cultures of the bacteria were maintained during the study in nutrient agar media (HI Media, India).

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Annonaceae, Phytochemical constituents, Phytochemical screening.

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Protein and Peptide drug delivery system are the Novel drug Delivery Revised on 22 Feb 2016,System. Proteins and peptides are the most abundant components of Accepted on 13 Mar 2016biological cells. They exist functioning such as enzymes, hormones, DOI: 10.20959/wjpps20164-6425structural element and immunoglobulin. The twenty different naturally occurring amino acids join with each other by peptide bonds and build *Correspondence for polymers referred to peptides and proteins. Although the distinction Authorbetween peptides and proteins are peptide contains less than 20 amino Sagar Kishor SavaleDepartment of acids, having a molecular weight less than 5000, while a protein Pharmaceutics, R. C. Patel possesses 50 or more amino acids and its molecular weight lies above Institute of Pharmaceutical this value. The most of pharmaceutical proteins and peptides are Education and Research, absorbed IM, IV and Subcutaneous route of Absorption, but the oral Shirapur 425405, Dist. Dhule route is more convenient for absorption of protein as compared to Maharashtra

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Protein drug delivery system

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P-Hacking is a type of data manipulation which is on rise in modern day P-hacking is when data analyst or researcher only reports statistically significant results and it is also leads to publication bias, P-hacking is common issues which started in fields of sciences and made its way to Management but since then has managed to crawl its way into other fields as of now it's overall effect till date remains low on literature remain low. Now, P-hacking can be defined as practice of data manipulation where researchers only report significant data and is achieved by changing way data is collected or reporting data which supports the research, P-hacking has led to various issues in academic research and research publications like researchers only showing data which support their studies it can lead to mistrust between publishers and researcher and p-hacking is commonly paired with Harking and data fabrication

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P-Hacking, Significant Data, P-values, Bias, Harking, Manipulation

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This study explores how the digital revolution has transformed Amazon's marketing approach, shifting from traditional methods to a tech-driven, customer-centric model. It focuses on tools like AI, machine learning, and programmatic advertising, and evaluates their impact on personalization, consumer behavior, and engagement. Data from 100 Amazon users was analyzed using descriptive statistics and the Chi-Square Test. Findings show 84% noticed improved personalization and 78% were influenced by digital promotions. A significant association between impulsive buying and digital marketing exposure (Chi-square = 18.12, p = 0.001167) highlights the effectiveness of Amazon's strategies. The findings confirm that Amazon's digital marketing transformation has improved personalization, customer engagement, and adaptability to trends offering insights for businesses optimizing digital strategies.

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Keywords: Amazon, Digital Marketing, AI, Consumer Behavior, E-commerce.

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The research "A Study on Assessing the Effectiveness of Customer Services at HDFC Bank" evaluates the quality and efficiency of the customer service provided by HDFC Bank, one of India's leading private banks. In the competitive banking sector, excellent customer service is crucial for retaining customers and expanding business. This study aims to evaluate HDFC Bank's performance in fulfilling customer expectations for overall satisfaction, issues resolution, accessibility, reliability and responsiveness. This aims to assess the effectiveness of customer services at HDFC Bank by evaluating customer satisfaction, services quality, responsibility, and problem resolution mechanisms. By collecting primary data from HDFC bank customer experiences. The findings highlight the strengths and weaknesses in service delivery and offer insights into areas requiring improvement. The study ultimately provides recommendation to enhance customer satisfaction and maintain HDFC Bank's competitive edge in the Indian banking sectors. The makes use of both primary and secondary data. Primary data was collected by distributing structured questionnaires to HDFC Bank's customers, and secondary data was gathered from journals, reports, and official websites. Branch infrastructure, digital services quality, complaint handling, employee behaviour, and services speed were among the many factors analysed. The findings shows that HDFC Bank stands out in digital banking and overall professionalism, but there are lots of areas for improvement, particularly in personalized customer interaction and speedy issues resolution. The study concludes with actionable recommendation to enhance service effectiveness, aiding HDFC Bank in sustaining high levels of customer satisfaction and loyalty in a shifting banking landscape.

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KEYWORDS: HDFC Bank, Customer Service, Customer Satisfaction, Service Quality, Banking Sector, Grievance Redressal, Digital Banking, Customer Experience, Private Sector Banks, Service Effectiveness

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This paper presents an Android-based smart society monitoring system designed to streamline and digitize housing society operations. Urban living often brings administrative bur- dens such as managing maintenance payments, handling resident complaints, and monitoring visitor entries. Traditional manual systems are time-consuming, lack accountability, and suffer from communication delays. The proposed system leverages real- time data synchronization via Firebase and modular Android components to automate society management functions including billing, visitor tracking, and announcements. This digital trans- formation minimizes human error, strengthens accountability, enhances transparency, and empowers residents and society administrators with an intuitive interface.

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Society Management, Android App, Firebase, Complaint Tracking, Smart Monitoring, Maintenance Automa- tion, Visitor Management

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In recent years, the proliferation of mobile technologies has significantly transformed how Non-Governmental Organizations (NGOs) operate and deliver social services. Mobile applications have emerged as powerful tools enabling NGOs to address critical societal challenges such as poverty alleviation, healthcare access, education, women's safety, disaster response, and food security. This paper explores the multifaceted role of mobile apps in enhancing the operational efficiency, outreach, and impact of NGOs committed to social good. Through a comprehensive literature review and case study analysis, this study examines how NGOs design, implement, and leverage mobile applications to foster community engagement, enable real-time data collection, facilitate donor communication, and track beneficiaries. The paper also identifies and discusses key challenges such as infrastructure limitations, ethical concerns, and digital literacy gaps. Notable case studies such as Hunger Hero, Too Good To Go, and The Felix Project demonstrate the tangible benefits of digital transformation. This research contributes to the growing discourse advocating the integration of mobile technology in the nonprofit sector, underlining its potential to bridge service gaps and promote sustainable development.

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Mobile Applications, NGOs, Social Good, mHealth, Food Security, Digital Transformation.

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In the digital age, online ratings and reviews have emerged as crucial factors influencing consumer decision-making, particularly in the purchase of durable products. This study explores the impact of online reviews and ratings on the pre-purchase behavior of consumers in Coimbatore city, a major industrial and commercial hub in South India. Durable goods, which typically involve high investment and long-term use, prompt consumers to seek extensive information before purchase. The research examines how consumers in Coimbatore access and interpret online feedback, the degree of trust they place in user-generated content, and how such content shapes their buying intentions. A combination of primary data collection through surveys and secondary data analysis has been used to understand behavioral patterns. The findings indicate a strong correlation between positive online reviews and increased purchase intent, while negative feedback often leads to reconsideration or brand-switching.

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impact of online reviews and ratings on the pre-purchase behavior of consumers

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In Buddhist cosmology, the historical figure Siddhartha Gautama, commonly known as the Buddha, is not regarded as the only individual to have attained enlightenment and taught the Dharma (the path to liberation). Instead, Buddhist scriptures and traditions speak of a lineage of "former Buddhas"--enlightened beings who appeared in previous eras to guide sentient beings toward liberation from suffering. This concept underscores the timeless nature of the Dharma and the recurring emergence of Buddhas across vast cycles of time. This article explores the idea of former Buddhas, their significance in Buddhist thought, and the textual as well as archaeological evidence supporting their historical existence.

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Keywords- Former Buddhas, Buddhist Cosmology, Siddhartha Gautama.

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Skin health is an important aspects of aesthetics. Dermatologists and scientists try to develop novel methods and materials to fulfill this aim. Facial cosmetics keep skin moist and remove sebum from the skin to maintain proper skin health. The use of suitable cosmetics according to the facial skin type results in healthy skin. Facial masks are the most prevalent cosmetics products utilized for skin rejuvenation. Facial masks are divided into four groups: a) sheet masks b) peel-off maks c) rinse off maks d) hydrogels. Each of these has some advantages for specific skin types based on the ingredients used. The following article presents the available information about the facial mask. Also, we have focused on the facial masks available in the market. Despite several developments in this field, extensive research is required for performing successful and precise clinical trials in the future. Further improvement would enable the researchers to develop new products in this field. In this review we present the most recent breakthroughs in the field of skin care and rejuvenation by cosmeceutical facial mask. This information is valuable to get the picture of the latest trends and also helpful for clinicians and related manufacturing companies.

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rejuvenation, clogged pores, antioxidant, exfoliation, dermatologists. Etc.

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The purpose of the study is to assess the various issues and problems faced by buyers while making digital purchase of the products through online in Tirupur City. The sample size of this survey is based on two hundred participants in the selected study area. This study collects data by conducting well designed and structured questionnaire. In this study, we used a qualitative data acquisition technique. The results show that digital marketing helpful to buyers to buying and selling of products through web shopping. However, when the digital shopping or online shopping is included as a parameter, the relationship between demographic factors and various issues and problems faced by buyers while making digital purchase of the products through online is a new advertising tool used by most of the organizations. This research helps the budding researchers to choose better tools for online promotion and uses a variety of recognition techniques to improve their digital marketing. It has been known through this study, which building customer confidence in product quality is a very effective approach in front of business owners, as brand reputation enhances customer satisfaction. This study is unique in that previous studies considered elements of digital marketing as parameters and ignored to find a direct relationship between problems faced by buyers while using digital marketing.

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Digital Marketing, Problems Faced by Buyers and Online Shopping

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This research critically examines the legal, social, and historical dimensions of marital rape in India, focusing on the paradox where rape is criminalized, yet non-consensual sex within marriage remains legally exempt under Section 375 of the Indian Penal Code. Despite progressive amendments to Indian rape laws post-2013, marital rape continues to be excluded from criminal prosecution, leaving married women vulnerable and without legal recourse. The paper explores international and domestic legal perspectives, relevant case law, and survivors' personal narratives, highlighting the psychological trauma and societal stigmatization faced by victims. Through a sociological and legal lens, the study exposes how patriarchal norms and the notion of implied spousal consent suppress women's autonomy and sexual rights. Drawing comparisons with jurisdictions that have criminalized marital rape, it argues for the urgent removal of the marital rape exception, aligning Indian law with constitutional principles of dignity, equality, and bodily autonomy. The study concludes with policy and educational recommendations to reform laws, sensitize the judiciary and society, and uphold the rights and dignity of married women.

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marital rape

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In today's industrial landscape, leakages of toxic gases and undetected chemical emissions etc are some of the pressing issues that industries face. Current gas detection technologies are costly and impractical for wide deployment, causing delays in hazard detection. This project provides a scalable, cost-effective solution for faster and more efficient gas detection in industrial environments. By integrating machine learning to train the system on gas-specific sensor patterns, it is able to distinguish between gases like hydrogen sulphide, methane and carbon monoxide. This model can be used to detect other gases as per the industry requirements integrated with IoT capabilities it offers seamless connectivity to employee's devices, ensuring timely alerts and enhanced safety measures.

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Keywords: Arduino Uno SMD ATmega 328, MQ4, MQ7, MQ136, Wifi Module, ESP-01

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The Indian Knowledge tradition system in Ancient Indian Education System (AIES) has based on Lifelong Holistic, learning in Gurukul or Ashram as a Guru- Shishya Parampara 4 Ashram, 4 Vedas, 6 Shatra, 18 Puran, 60 Nitiya, 108 Upanishad, 64 Kala, 14 Vidyas practices in Sanskrit Languages that emphasize self-realization, critical thinking, yoga, meditation, vastu shatra Ayurveda emotional, mental, spiritual development, jyotish & astronomy, and holistices practices storytelling, dialogue & discussion, experiential learning, mentorship, reflective practices. The Buddhist Indian Education System (BIES) has based on an aimed at purity of character, practical activities, learning in Vihars / Matth or monasteries, Monk- Sawan , relation, 12 years Pabbajja & 10 years Upasampada in mother tongue Pali & Prakrit, action physical, intellectual, meditation, moral & social actions have been deemed necessary for salvation. Not to do any evil, to cultivate good to, purify one's heart. Key pillars of teaching highly loving kindness, humanity patience and giving, perhaps they value wisdom and compassion most of all. The Islamic Indian Education System (IIES) of cultivating the notion of universal justice through actions such as communal engagement, public deliberation & just striving with the socialization, individuation and good action as complementary approaches to education. Medvial Education learning in Maktabs, Madarasas, Khanghas, Dargahs & Karkhanas in Arabic & Quran tafsir (Quranic exegesis) & figh (Islamic Jurisprudence), which was seen as particularly important. The British Indian Education System (BIES) or Modern Education System Pre-Independence & Post-Independence having aim ethical, moral, practical knowledge, community based, practical skill based, preserved cultural heritage virtual digital literacy based. The British Indian Pre-Independence Education System origin Colonial Education, British influence Charter Act, Macaulay, Wood Dispatch, Hunter Commission, Govt. of India Act & Post-Independence System Radhakrishan Commission, Mudaliar, Kothari, NEP 1968, 1986 &1992, Education Reforms in Liberalization era 1991-2019, Right to Education Act 2009, Growth of Higher Education Institutions, Digital Education Initiatives 2010 -2019, National Education Policy 2020 and beyond, provide Tri- Linguistics, Multidisciplinary, Skill based more Autonomy Universities, New Structure 5+3+3+4, on Formal, Informal, Non-Formal, Vocational, Digital Education, STEM. The Indian Education System in India have significant role in shaping individuals and society to focused on moral value, discipline, skill based technology, career oriented knowledge and global competitiveness, a balanced approach integrating ethical values with modern advancements can be leads to a holistic and inclusive education.

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Ancient Indian Education System, Buddhist Indian Education System, Islamic Indian Education System, British Indian Education System, Modern Education System.

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Pneumonia remains a significant global health challenge, with chest X-rays serving as a critical diagnostic tool. However, accurate and timely diagnosis often requires expert radiologists, who may not be readily available in all settings. Pneumonia is most prevalent in underdeveloped and developing countries, where factors such as overpopulation, air pollution, and unhygienic environmental conditions exacerbate the spread and severity of the disease, while medical resources remain scarce. Therefore, early diagnosis and effective management can play a pivotal role in preventing the disease from becoming fatal. This paper surveys the effectiveness of Convolutional Neural Networks (CNNs), particularly ResNet-50 and VGG-16, in automating the detection of pneumonia from chest X-ray images. We evaluate the integration of these pre-trained models with various techniques such as data augmentation, preprocessing, and transfer learning, and discuss how these methods enhance the classification performance. The proposed models, when combined with optimized classifiers such as Support Vector Machines (SVM), achieve high diagnostic accuracy, offering a promising and scalable solution for timely disease detection, particularly in remote, underserved, or resource-limited areas.

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Pneumonia Detection, Deep Learning, CNN, ResNet-50, VGG-16, Image Classification, Data Augmentation, Transfer Learning

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Artificial Intelligence is the ability of a machine to perform task that usually requires human intelligence, such as learning, reasoning, problem-solving etc. Artificial Intelligence provides the promise of revolutionizing rural communities by improving agricultural techniques, healthcare, education, and economic prospects. The study aimed to explore the difficulties in utilizing Artificial Intelligence among rural communities and to find some way outs to address these difficulties. The study analysed the secondary data from various source available in internet with the help of qualitative approach. The rural communities from different part of India face some significant difficulties in utilizing AI due to in adequate infrastructure, limited Digital literacy, High costs, Data scarcity, and shortage of local expertise. These barriers hinder the effective utilization of Artificial Intelligence in rural areas. The issues and limitations discussed can be addressed through the development of affordable AI tools, local training initiatives, and digital infrastructure. The research underscores the importance of tailored solutions and collaboration between stakeholders to achieve sustainable development and bridge the urban-rural divide. Artificial Intelligence can be a powerful tool for driving positive change in rural settings, creating a more equitable and prosperous future.

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: Artificial Intelligence, AI, Technology, Rural Communities, Difficulties, Way outs.

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OBJECTIVES: 1.To assess the pretest knowledge on video-assisted teaching programme regrading sexual abuse among school childrens. 2.To assess the post test knowledge on video-assisted teaching programme regrading sexual abuse among school childrens. 3. To assess the effectiveness of video-assisted teaching programme regrading sexual abuse among school childrens. 4.To find out the association between pretest knowledge on video-assisted teaching programme regrading sexual abuse among school childrens. 5. To find out the association between post test knowledge on video-assisted teaching programme regrading sexual abuse among school childrens. METHODOLOGY: Current investigation involved 100 adolescents students utilizing quantitative, pre-experimental one-group pretest, and post- test research design, employing purposive sampling strategy. Sexual abuse has been evaluated utilizing a pretest followed by video-assisted teaching programme implementation. Demographic variables have been investigated employing descriptive statistics (percentage, mean, standard deviation)while correlation amongst anger scores as well as demographic variables has been vaulted by inferential statistics (paired t-test, chisquare).A post-test has been performed by applying the same scale following three weeks of employing strategies. RESULTS: The findings study aimed to measure the knowledge on Sexual Abuse among children. During current research out of 100 adolescents, Pretest Showed that among 100 students 85(85.00%) had inadequate knowledge, 13(13.00%) had moderate knowledge,2(2.00%) had adequate knowledge. Post-test Showed that among 100 students 2(2.00%) had inadequate knowledge,23(23.00%) had moderate knowledge, 75(75.00%) had adequate knowledge. Age, gender, mother's, father's educational attainment, and monthly household income are demographic variables that have a statistically significant correlation with Pretest(P<0.01. CONCLUSIONS: The research conducted at Thavanampalli High School on Sexual abuse awareness provided significant insights into knowledge as well as perceptions of students regarding this critical issue. Results revealed that while there is some understanding of the topic, many students still lack comprehensive awareness of the signs, preventive measures, and reporting mechanisms available to them.

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A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING PROGRAMME ON KNOWLEDGE ON KNOWLEDGE REGRARDING SEXUAL ABUSE AMONG SCHOOL CHILDREN(10 to 12yrs) AT SELECTED SCHOOL, THAVANAMPALLI (MANDAL),CHITTOOR (DISTRICT), ANDHRA PRADESH.

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Acinetobacter baumannii represents a significant nosocomial pathogen with increasing clinical importance due to its environmental persistence and potential for rapid resistance development, and whilst current antimicrobial research predominantly focuses on multidrug-resistant strains, there is a critical need for proactive development of novel antimicrobial agents before resistance emerges. Graphene quantum dots (GQDs) have demonstrated promising antimicrobial properties against various pathogens through unique mechanisms, including reactive oxygen species generation and membrane disruption; however, no comprehensive studies have evaluated the direct antibacterial activity of GQDs specifically against A. baumannii. The synthesised GQDs exhibited excellent physicochemical properties with spherical morphology and appropriate size distribution, confirmed through comprehensive characterisation using UV spectroscopy, FTIR, XRD, and FESEM analyses. GQDs demonstrated significant antibacterial activity against A. baumannii with dose-dependent zone inhibition diameters ranging from 12-24 mm at concentrations of 25-100 ?g/mL when tested using standardised disc diffusion assays with aminoglycosides as positive control and nuclease-free water as negative control. The minimum inhibitory concentration (MIC) was determined to be 45 ?g/mL through broth microdilution in 96-well plates with two-fold serial dilutions, whilst the minimum bactericidal concentration (MBC) was established at 65 ?g/mL. This study represents the first comprehensive evaluation of GQDs against A. baumannii, demonstrating potent direct antibacterial activity and offering a promising novel antimicrobial platform with significant potential for clinical translation in managing A. baumannii infections in healthcare settings. The findings contribute to the growing body of evidence supporting GQDs as effective antimicrobial agents and establish a foundation for future research exploring their therapeutic applications against this important nosocomial pathogen.

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Graphene Quantum Dots, Acinetobacter baumannii, Antibacterial activity, Minimum Inhibitory Concentration

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Online education is growing rapidly and is changing the way people learn all over the world. With the help of the internet, students can now study from anywhere at any time. It is especially helpful for those who cannot attend regular schools or colleges due to distance, time, or personal reasons.Online platforms will also offer more practical and job-based courses to meet the needs of students and working professionals.In the future, online education is expected to become even more advanced with the use of technologies like Artificial Intelligence (AI) and personalized learning tools. These tools can make learning more interactive, flexible, and fun.

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Future of Education Educational Technology (EdTech) Smart Learning Artificial Intelligence in Education Online Learning Digital Classrooms Virtual Learning Environment (VLE) E-Learning Personalized Learning

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