Asia Pacific Institute of Management

Companies can't function without efficient human resource management, especially when it comes to matching open positions with qualified applicants. Nevertheless, in the modern HRM environment, recruiters have obstacles like managing a high number of resumes, catering to candidates' varied interests, and satisfying employers' growing need for specialised skills. Intelligent CV analysis and job matching solutions are necessary since these time-sensitive judgements frequently degrade selection quality. The research methodology used in this study is a hybrid approach that combines machine learning, fuzzy logic, and NLP. Tokenisation, phrase splitting, named entity recognition, and part-of-speech tagging are preprocessing stages that are carried out before BERT is used for training, engineering, and feature extraction. Combining ANNs with fuzzy regression models improves predicted accuracy by taking advantage of both the adaptability of ANNs and the partial data handling capabilities of fuzzy algorithms. The results demonstrate that the suggested Fuzzy ANN model outperforms the competition, reaching a 98.38% analytical accuracy rate. Based on these results, it's clear that the model can make HRM more efficient, less taxing on recruiters, and better at connecting candidates with jobs.

Purpose : When the majority of the population remains unconnected with financial services, no economy can attain the goal of sustainable inclusive growth. No success is meaningful unless felt by last ones in a culturally and socially committed humanity. This study examines the country's financial inclusion efforts undertaken by banking and other Indian financial establishments. Methodology : This study covers secondary data and case studies to portray the realities of economic inequalities and sociocultural asymmetries across regions. The paper discusses the country's financial services and banking scenario, followed by the progress, prospects, and challenges in implementing financial inclusion. An attempt has been initiated to examine the impact of financial inclusion and scope of financial services supplied to the population. Findings : Committees and working groups advocated the widespread adoption of microfinance institutions and an innovative agency banking system as rural banking replacement. Data suggest that cooperatives increasingly support weaker, neglected categories of marginal farmers. Practical Implications : Despite the progress made in the credit delivery mechanism, preponderance of rural inhabitants still lacks access to formal finance. The glaring agrarian crisis resulting from an increase in farmer suicides and structural constraints in the non-agricultural informal segments, despite their capacity to generate employment opportunities, has led to a severe deficit in the fund flow to these segments.

Indian cinema has had a remarkable and legendary growth worldwide. Indian movies have a dedicated fan base that loves and adores them wholeheartedly. The journey of Indian movies is as diverse as India itself, with different cultures and languages every 100 km. Indian cinema has developed alongside India as a developing nation. It has evolved from a male-dominated field to showcasing women in different roles, from being used as props or victims to now being portrayed as representatives of Indian society.. Through this research paper, researcher will analyze the narratives, portray and way of storytelling of various directors on environmental issues which started a conversation between audiences.

Abstract Homestay services are one of the booming concepts for local community participation in the tourism industry. Participation of women in community‐based tourism activities is getting attention from academic stakeholders, but the women in the homestay services section need special focus. Hence, this study explores the opinions of female homestay service providers about their experiences in running homestays. In this study, 62 women were interviewed in the state of Arunachal Pradesh, India. The study extracted women's perceptions of homestay service in tourism. A semi‐structured questionnaire, interviews and participant observations were used to collect primary data. Homestay service is found to be an ideal profession for married women as it gives them the opportunity to fulfil other family duties, though it is not a compulsion in all cases. Women were also found to feel a sense of recognition through such participation in tourism. Participating in homestay services was found to be a source of meeting peers, building social networks and a sense of exposure to the outside world. The findings of the study will be insightful for implementing schemes related to women's empowerment and rural development. These findings confirm the mass migration of the rural population towards metro cities can also be curved by engaging more people in tourism and allied businesses locally.

the SARS-COV2 (COVID-19) virus continues to spread over the world in the form of various mutant strains that are responsible for epidemic conditions. As a result, the clinical prognosis cannot be relied upon. Chest x-rays, computed tomography, and ultrasound imaging models supplement the analytical methods (for example, RT-PCR) to a certain degree, despite the fact that different clinical diagnostic approaches have been developed and used up to this point. The purpose of this work is to carry out the diagnosis of COVID-19 individuals utilizing the image padding technique, as well as to develop a Deep Covix-Net model for the identification of COVID-19, Pneumonia, and healthy individuals utilizing X-ray and CT scan images. Both of these objectives will be accomplished through this work. Using ultrasound pictures, create a model called Ultra Covix-Net for early diagnosis of COVID-19, pneumonia, and healthy persons; then, using CT scan images, estimate the severity of the COVID-19 infection. In order to complete the categorization process, machine learning and deep learning strategies are used.

Air pollution is a major source of worry for all living things. India has one of the world’s highest levels of air pollution. Rising population, unplanned growth, increased automotive traffic, stubble burning, industrial waste, fossil fuel combustion, powerplant emissions and a variety of other causes all contribute considerably to air pollution in developing countries. Particulate matter (PM) 2.5 is the most concerning of all air pollutants since it causes major health problems in individuals. Prediction and management of air quality have therefore become critical. Several machine learning algorithms were used in this work to examine dataset results. The results of our work suggest that for future predictions, logistic regression and autoregression can be efficaciously utilised for the analysis and forecasting of levels of PM2.5 in the future. Countries can lower the prevalence of strokes, and chronic and acute respiratory illnesses such as asthma, and lung cancer by reducing air pollution levels.

Despite the increasing prominence of cause-related marketing (CRM), academicians and marketers alike are striving to understand and get a clearer and in-depth knowledge of the perceptions of Indian urban consumers. This study identifies the prominent factors of perception pertaining to CRM in India. It also explores the relationship that exists between them. The distinctions based on the demographic attributes with respect to the factors identified as well as on the total perception is also studied using one way ANOVA/t-test. Literature review along with unstructured interviews with 15 people (eight males and seven females) in the age group 22-55 years old on factors such as motivation, attitude and purchase intention towards CRM were used to design a questionnaire. 325 respondents were personally contacted and 180 were administered the instrument using social media channels. Factor analysis was carried out to obtain factors of perception. To further examine the relationship between them, the PLS-SEM technique was employed for the measurement model. The study provides meaningful insights in the area for academic research. The implications and usefulness of the study for practitioners are also discussed.

Despite the increasing prominence of cause-related marketing (CRM), academicians and marketers alike are striving to understand and get a clearer and in-depth knowledge of the perceptions of Indian...

Advancement of information technology leads toward a world with process automation to perform a task more efficiently and avail the services with ease. Banking sectors are not an exception and are moving from traditional manual banking system to an electronic entity. The basic functionality of a bank, out of many, is to deposit money into user accounts and retrieve as per account holder’s necessity. However, as time is precious, eventually account holders may not expect to spend too much time in the queue for depositing or retrieving their money. That is why the need for ATM comes into the picture to make the user’s life easier. However, it comes with some questionable possibilities for false attacks as well. Thus, a proper user authentication mechanism is needed to overcome these fraudulent activities. Our proposed method gives a new dimension to this authentication which is a hybrid version of an existing authentication system for the ATM transaction by using a Graphical pattern password along with current PIN code supplied from the bank. This Graphical password is a version, which has been invented by Google’s Android pattern unlock system. In our proposed mechanism, we combine both Graphical pattern and PIN and incorporated security to enhance reliable transactions. More specifically, the secret encryption key is generated from a PIN using the PRESENT algorithm. Finally, the ciphertext is created using digit stream from the Graphical pattern and secret encryption key. This hybrid process to detect intrusion will significantly enhance security. Our primary focus is to develop a robust and flexible user authentication system to avoid common authentication problems. The proposed approach needs no additional hardware and device dependency.