Volume 13 | Issue 4 |

 Abstract

The safety of women is a concern of increasing urgency in India and other countries. With increase in the crime rate against women, the rate of usage of technology also increases. Therefore, this research paper aims to find an approach where the increasing crime rate can be prevented. The best way is to give a technological way to this problem, and finally an android based App is designed and developed with title "NeedUNow app". This application tracks the location of the user through GPS and allows an individual to immediately request for help in disastrous situations with just a tap. It transmits the user's location and an alert message to the user's trusted and registered contacts when the user feels unsafe. These contacts can track the user's location in real time and provide the required help. The proposed system, NeedUNow, is a secure, smart, and reliable application designed to enhance women's safety by providing various advanced features. These include Emergency Alert & Incident Reporting Mechanism - Instantly sends distress signals and reports emergencies to trusted contacts or authorities. Live Location Tracking & Map View Mechanism - Displays real-time user location for emergency responders and trusted contacts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Android applications, Emergency response systems, Medical Location tracking, Multilingual medical data , Offline gesture activation, Emergency safety, Flutter, Firebase.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Chikungunya is a mosquito borne enfeebling disease caused by CHIK virus, an alphavirus belonging to family Togaviridae (Sudeep A. B and Parashar D., 2008). CHIKV infection presents itself as a febrile illness known as chikungunya fever (CHIKF) (De Lima Cavalcanti, T.Y.V.; 2022). Recent advances in analytical methods for assessing chikungunya vaccine efficacy have significantly enhanced our understanding of immune responses and clinical outcomes. More advanced techniques like high-throughput sequencing, multiplex assays, and advanced immunological profiling have replaced traditional methods like serological assays, allowing for a more thorough assessment of humoral and cellular immunity in response to vaccination. Interestingly, the use of bioinformatics tools has made it easier to analyze complex datasets, which has resulted in the identification of potential biomarkers for vaccine efficacy.(Tsetsarkin, K., et al., 2019; Cerny, T., & Munoz-Fontela, C. 2020)Additionally, the use of animal models and clinical trials using these new analytical techniques has given important insights into the mechanisms of protection provided by chikungunya vaccines, and as research continues, these developments will be essential in improving vaccine formulations and strategies for managing Chikungunya virus outbreaks ( Al-Muhammad, H., et al. 2021).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chikungunya, vaccination, clinical development, computational methods, serological assays, vaccine development, machine learning, molecular methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Unified Payment Interface (UPI) has significantly transformed the digital payment ecosystem in India, especially in regions like Coimbatore that consist of both urban and semi-urban populations. This study aims to analyze customer attitudes toward selected UPI applications -- Google Pay, PhonePe, and Paytm -- by examining factors such as ease of use, security, transaction speed, reliability, user interface, and trust. It also explores how demographic variables like age, income, education, and occupation influence customer preferences and usage patterns. A descriptive research design was adopted, using a well-structured questionnaire to collect primary data from users in the Coimbatore district. Secondary data was sourced from journals, articles, and previous studies. Analytical tools including simple percentage analysis, Likert scale analysis, ranking analysis, chi-square analysis, and t-test were used to interpret the collected data. The study seeks to identify the reasons why customers prefer or avoid using specific UPI apps, the problems they face, and their suggestions for improvement. It also tests the hypothesis that there is no significant relationship between gender and frequency of app usage. The research was conducted over a period from December 2024 to April 2025. Findings from this study are intended to provide actionable insights for app developers, financial institutions, and policymakers to enhance UPI adoption rates, address user concerns, and optimize the overall digital payment experience. However, the study is geographically limited to Coimbatore and may be influenced by self-reported data biases and sample size constraints.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Unified Payment Interface (UPI), Customer Attitudes, Digital Payment, Demographic Variables.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's financial sector is pivotal for economic inclusion, with public sector banks (PSBs) and India Post Financial Services serving diverse populations. This study applies the SERVQUAL model to compare service quality between PSBs and India Post, focusing on five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The research aims to identify service gaps, compare performance, and propose improvement strategies. A quantitative survey was conducted with 200 customers (100 from each provider) in urban (Delhi, Mumbai) and semi-urban (Jaipur, Patna) areas in March 2025. Respondents rated expectations and perceptions on a 22-item SERVQUAL scale. Gap scores (perception minus expectation) were analyzed using descriptive statistics and t-tests to compare providers. Results reveal PSBs outperform India Post in tangibles (mean gap: -0.45 vs. -0.78) and assurance (-0.39 vs. -0.67), benefiting from advanced infrastructure and regulatory trust. India Post excels in empathy (-0.32 vs. -0.51) and responsiveness (-0.41 vs. -0.58), reflecting its community-oriented approach. Reliability gaps are similar for both (PSBs: -0.62, India Post: -0.65), indicating systemic delays. Urban customers reported larger gaps than semi-urban ones, suggesting expectation disparities. PSBs' technological edge contrasts with India Post's outdated facilities, though the latter's personalized service mitigates dissatisfaction. Recommendations include digital upgrades for India Post, process streamlining for PSBs, and staff training to enhance empathy and reliability. This study contributes to understanding service quality in India's public financial sector, highlighting the balance between modernization and human-centric service. Limitations include the exclusion of rural perspectives and cross-sectional design. Future research could explore longitudinal trends or rural dynamics. These findings inform policymakers and providers aiming to strengthen financial inclusion through improved service quality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SERVQUAL, Public Sector Banks, India Post Financial Services, Service Quality, Customer Satisfaction, Financial Inclusion, Empathy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's digital era, Artificial Intelligence (AI) has emerged as a powerful tool transforming how businesses operate. While large corporations are rapidly embracing AI to optimize operations and enhance customer experiences, small businesses still face several challenges in adopting such advanced technologies. This study focuses on analyzing the benefits and challenges of AI adoption among small businesses in Coimbatore District. It explores the level of awareness, industry- specific usage, key influencing factors, and the barriers faced by small business owners. The findings reveal a growing interest in AI, but highlight obstacles such as high costs, lack of skilled personnel, and data privacy concerns. The study also provides suggestions to increase AI adoption through training, cost-effective tools, and government support.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Small Business, AI Adoption, Digital Transformation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the challenges encountered by rural policyholders during the agricultural insurance claims process in Coimbatore district, Tamil Nadu. Despite the existence of schemes such as PMFBY and NAIS, farmers often face issues such as a lack of awareness, documentation barriers, and delayed settlements. A structured questionnaire was administered to 100 respondents using convenience sampling. Simple percentage analysis was used to evaluate the data. Results indicate that while awareness of insurance schemes is relatively high, claim-related challenges such as delays and limited access to assistance remain significant. The study offers targeted recommendations for policymakers and insurers to enhance the effectiveness of agricultural insurance in rural India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agricultural Insurance, Rural Policyholders, Insurance Claims, Claim Settlement, PMFBY, NAIS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In educational institutions and workplaces, traditional attendance systems based on manual entry, which are time-consuming and prone to errors or proxy attendance. To address these challenges, an Automated Attendance System using Face Recognition offers a contactless and efficient solution. This system utilizes machine learning and computer vision to detect and recognize faces, ensuring accurate and real-time attendance marking. By integrating facial recognition with a database, it automates the process, reducing administrative workload and preventing fraudulent attendance. Additionally, security measures such as encrypted data storage and access control ensure privacy and reliability. This technology enhances efficiency, accuracy, and security in attendance management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition, Automated Attendance, Machine Learning, Computer Vision, Security, Privacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the attitude of the Muslim scholars when the British wrested power from the Muslim hands and its after effects in the relation between Muslims and British authority. The great scholar of India, Shah Abdul Aziz Dehlavi emerged as a determined opponent of British rule, issued a landmark fatwa declaring India under British control as Dar-ul-Harb (abode of war). Motivated by him, Sayyid Ahmad Barelvi and his followers started an armed struggle and it continued until 1857.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian freedom struggle, Muslim freedom struggle, British occupation of India, Indian Wahhabis, Waliullah, Tariqah Muhammadiyah, Shah Abdul Aziz Dehlavi, Sayyid Ahmad Barelvi

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal marshmallow candy; Indian Pharmacopoeia; Loss on Drying; Dissolution; Honey; Diabetic-friendly; Ashwagandha.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents a comprehensive time series analysis of Monkeypox case trends globally using the Facebook Prophet model. The analysis integrates all four types of analytics Descriptive, Diagnostic, Predictive, and Prescriptive (DDPP) to understand trends, identify hotspots, forecast future outbreaks, and optimize resource allocation. Unlike real-time systems, this is a one-time analysis based on historical WHO data. The results help policymakers design strategic interventions like vaccine prioritization, resource mobilization, and awareness campaigns.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Time Series Forecasting , Monkeypox Outbreak , Epidemiological Modeling , Facebook Prophet , ARIMA Model , Public Health Analytics , Predictive Analytics , Prescriptive Analysis , Disease Trend Prediction , Data-Driven Decision Making

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Creative Commons Attribution 4.0 and The Open Definition