Volume 12 | Issue 1

 Abstract

SUPERVISION heralds a breakthrough in service technology designed for the visually impaired, combining object recognition, obstacle detection, scenerecognition and optical character recognition (OCR) in smart glasses. Leveraging leading initiatives such as Google Glass and Microsoft Vision AI, SUPERVISION differentiates itself with a comprehensive, AI-driven approach to enhancing seamless environmental awareness and user interaction. Breaking traditional boundaries and using state-of-the-art algorithms, this hands-free platform provides users with better access,freedom and situational awareness. Combining cutting- edge technology, user-friendly design and innovative design, SUPERVISION marks a revolution and heralds afuture unseen by humans, the ability to explore the worldwith confidence, freedom and dignity.

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 Keywords

Blind Assistance, Natural LanguageProcessing, Depth sensor Technology, IoT and Sensor interaction, Artificial Intelligence.

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ABSTRACT: India is the second biggest mobile phone user in the world. In India mobile phones are not only used as a medium of voice communication but also for a mobile service. Mobile services are defined as E-services that help the customer handle financial transactions by using mobile devices. With the adoption of mobile banking mode of services, the banking sector is having tremendous growth across the globe including India. This research paper is undertaken to know the effectiveness of the usage of mobile banking among nationalized banks in Barkur Village. An empirical survey is done by distributing the pre-designed close-ended questionnaire to the 370 respondents who use mobile banking services actively for their day-to-day financial transactions. A hypothesis designed for study purposes is tested by using statistical tools such as mean, standard deviation, and chi-square tests through the SPSS 20 software. The findings of this study revealed that people feel more familiar with e-wallets such as Google Pay, Phonepe, Paytm, etc compared with mobile banking apps. Respondents are also highly dissatisfied with software issues, bank response rates, safety issues, and quality of services. This research paper can be used by customers, researchers, students, and bank officials for the successful execution of their undertaken tasks.

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Adaption Rate, Customer Satisfaction, Digitalization, Mobile Banking, Nationalised Banks.

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Abstract The purpose of this study was to evaluate the level of life satisfaction among female teachers in Aurangabad City, Maharashtra. A total of 100 teachers between the ages of 25 to 45, residing in Aurangabad, Maharashtra, participated in this study. The data was collected using a simple random sampling method. The life satisfaction scale developed by Q.G. Alam and Ramji Shrivastava was utilized to assess the participants' life satisfaction. The study hypothesized that there would be a significant difference in the life satisfaction levels between female teachers in private and government schools in Aurangabad, Maharashtra. The findings of the study confirmed this hypothesis, indicating a significant difference in the life satisfaction levels between female teachers in government and private schools in Aurangabad, Maharashtra.

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Life satisfaction, Female school teachers

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The government of India publishes a biennial report called India state of forest report (ISFR). The ISFR report published in 2021 states unequivocally that the country has witnessed 345,989 forest fires between November 2020 and June 2021, an increase of 87,509 forest fires reported in the country during the same time in the year 2018-2019. This is the second-highest report of forest fire in the country. Similarly, there were 136,604 fire points in the country from January 1 to March 31, 2022. The ISFR (2021) Report further states that the total forest cover has gone up by 0.48% between 2013 and 2021 but the rate of forest fire also went up astronomically to the tune of 186% in the same period.A comprehensive study on forest fire reveals that out of the total 764districts in India; more than 30% of districts are susceptible to extreme forest fire, which also, are home to 275 million people. The states namely, Andhra Pradesh, Odisha, Maharashtra, Madhya Pradesh, Chhattisgarh, Uttarakhand, Telangana, and the north-eastern region (NER) states except Sikkim are prone to high-intensity forest fire. The Northeast cluster of forest has a maximum area of forest constituting 55% of all the four clusters in India but it accounts for only 16% of the burnt forest area. The central area, which constitutes 28% area of the forest cover but 56% of it, is burnt because of forest fires. In the Northeast, fires tend to concentrate in a smaller area that is subject to repeated burns whereas in Central and Southern India, they are more expansive.

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Forest fire, Climate Change,Intergovernmental Panel on Climate Change,forest fire hot spots,soil erosion,Xylem dysfunction,xylem conduits,The Forest Fire Prevention and Management Scheme.

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Psidium guineense is the most common shrub known world widely for its fruits and nutritional values present in it. It is distributed most commonly in South America and Brazil. Numerous chemical constituent can be isolated from this plant like steroid sitosterol, triterpene ursolic acid, 173- etoxiphaephorbide, 2-(4-hydroxyphenyl)ethyl hexanoate, kaempferol, rutin and quercetin which itself is been proven for its pharmacological activity. Based on the different studies carried out on mice and other animals; different extracts of this shrub is been proven for different pharmacological activity like antibacterial, anti-inflammatory, anti-fungal, antimicrobial and antioxidant effect. Using this effect we can find a curative solution for different type of disease like preventing cancer, regulating blood pressure, treating diarrhoea and much.

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Psidium guineense, Brazilian Guava, Antimicrobial, Anti-Inflammatory, Antioxidant, Myrtaceae

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The plant, which is a member of the Crataeguaceae family, is known by its scientific name, bryophyllum pinnatum. It was found that this plant showed various pharmacological activities such as anthelmentic, immunosuppressive, wound healing, hepatoprotective, antinociceptive, anti-inflammatory and antidiabetic, nephroprotective, antioxidant activity, antimicrobial activity, analgesic, anticonvulsant, neuropharmacological and antipyretic. The chemicals reported from the plant belong to different classes such as alkaloid, diterpenoidal lactones, glycosides, steroids, phenolics, aliphatic compounds, etc. The phytoconstituents and pharmacological activity of the therapeutic herb K. Pinnata are provided in this study, which may aid in the conduct of more complex qualitative research.

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Keyword-Kalanchoe pinnata, Phytoconstituent, Pharmacological activity.

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The current corona virus disease 2019 pandemic poses a serious danger to global public health. To evaluate its impact and guide control measures, we integrate the information on demographics, connection arrangements, illness austerity, health care accommodation and quality. Blooming community in low income nations may decrease the total risk, but insufficient healthcare capacity can have combined with more international interaction cancels this advantage. These moderation techniques that decrease but do not stop transmitting would nonetheless result in covid19 outbreaks promptly mind blogging immune systems, with significant excess fatalities in low income nations because to inadequate health care. Lower income countries have been more aggressive in their suppression efforts to date. This review provides an overview of the current state of all models for the detection and diagnosis of COVID-19 and processing based on some machine learning and deep learning techniques. According to observations, supervised machine learning techniques and deep learning techniques have an extraordinary capacity to provide accurate and efficient results for the detection and diagnosis of covid-19.

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COVID-19, machine learning,supervised machine learning, deep learning,

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A lot of power lies hidden within us, but it is unfortunate that many of us don't realize it. Although some people know about it, they never try to bring it out and use it in a beneficial way because they don't value it much. This article attempts to show, through a small experiment, how much-hidden potential we have that is being wasted, unused, and unrecognized. Through this article, we would also like to drive home our point that when we are able to use the magnitude of our energies in one particular direction, we can succeed in our endeavors.

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Motivation, Hidden Strength, Papers and Their power, Weak and strong

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As global life expectancies rise, the intersection of longevity and financial security becomes increasingly pertinent. This research delves into the multifaceted relationship between longevity and pension systems, aiming to understand their pivotal role in promoting retirement well-being. The study conducts a comprehensive analysis of existing pension structures, their strengths, and shortcomings, shedding light on the evolving landscape of retirement funding. The investigation extends beyond traditional approaches to consider innovative solutions for sustainable retirement funding. The need for adaptable pension systems is paramount in a rapidly changing economic environment characterized by demographic shifts and technological advancements. The research explores cutting-edge strategies, such as incorporating technology-driven investment platforms, exploring alternative investment instruments, and optimizing policy frameworks to ensure long-term financial security for retirees. Through quantitative analysis and qualitative insights, this research contributes to the ongoing discourse on the challenges and opportunities associated with the longevity-financial security nexus. By examining the intricate interplay between pension systems and the well-being of retirees, the study seeks to provide actionable recommendations for policymakers, financial institutions, and individuals to navigate the complexities of an aging population and foster sustainable retirement funding models.

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Exploring Innovative, Financial Security, Pension Systems

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Every country now has a serious issue with traffic regulation and vehicle ownership identification. Identifying the driver of a car that breaches traffic laws or goes too fast can be challenging at times. Due to the possibility that the traffic official may not be able to obtain the vehicle number from the moving car due to the speed of the vehicle, it is impossible to catch and penalize those types of offenders. Therefore, one of the solutions to this problem is to develop an automatic number plate recognition (ANPR) system. Today, a variety of ANPR systems are accessible. Despite the fact that these systems use various approaches, the work is still quite difficult because to things like the vehicle's rapid speed, non-uniform number plate, and language. The total rate of recognition can be significantly impacted by the quantity and type of lighting. Most systems function with these restrictions. In this work, various ANPR strategies are described while taking into account processing time, success rate, and image size as criteria. An ANPR expansion is proposed at the end of this work. Artificial Neural Network (ANN), Character Segmentation, and Automatic Number Plate Recognition (ANPR) image segmentation, optical character recognition, and license plate analysis.

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Automatic Number Plate Recognition (ANPR), Artificial Neural Network (ANN), Character Segmentation Image Segmentation, Number Plate, Optical Character Recognition

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Key words: Apiary, honey, hills, plains, western ghats, thiamine (B1), riboflavin (B2), niacin (B3), panthothenic acid (B5), pyridoxine (B6) and ascorbic acid (C), wild, Karnataka.

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The goal of "AI-Driven Talent Matching: Empowering HR Professionals with Reinforcement Learning" is to transform hiring practices by fostering a mutually beneficial partnership between employers and employees. When HR specialists thoroughly specify Job Descriptions (JDs) on the platform, the project gets underway. Meanwhile, job applicants upload their resumes, resulting in the establishment of profiles summarizing their credentials and experiences. After that, the system gathers essential data to create unique JDs for each seeker. The degree to which these customized JDs resemble the HR's JD is measured by a computed similarity score, guaranteeing a data-driven method of candidate assessment. Based on these scores, candidates are ranked, and Recruiters are then presented with top ranked candidates by applying a threshold. The incorporation of reinforcement learning will improve the recommendation model through learning from recruiter's feedback. Feedback in the form of "yes" or "no" from recruiter reviews of candidates enables the model to dynamically modify the similarity score threshold. This research explores the shifting dynamics of the labor market and makes the case for a datadriven strategy that would enable recruiters to make well-informed choices when hiring and selecting candidates. The process ends with a screening test to make sure applicants have the skills that are needed for the job. Better recruitment outcomes are promised by this cutting-edge approach, which will help both Recruiters and job seekers.

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Reinforcement Learning, Data-Driven, Job Descriptions, Recommendation Engine, Job Seekers

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The study examined the fastness properties of cotton fabric dyed with flowers from Thespesia populnea using various ratios (1:3,1:1, and 3:1) of various mordants. These ratios included myrobolan:nickel sulphate, myrobolan:aluminum sulphate, myrobolan:potassium dichromate, myrobolan:ferrous sulphate, and myrobolan:stannous chloride. We examined the washing, rubbing and sweat fastness of the colored samples. Comparing the color strength and fastness of cotton flowers colored with Thespesia populnea using a combination of mordants. When Thespesia populnea is simultaneously mordanted with a 1:3 mordant combination, the greatest results are obtained when comparing the fastness qualities and color strength of cotton materials that have been dyed.

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Cotton fabric, Dyeing, Thespesia Populnea, Mordants

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Women's empowerment is a process in which women effectively promote their well-being by challenging accepted conventions and culture. Women's empowerment in social and economic dimensions was significantly impacted by their involvement in Self Help Groups (SHGs). In the Karnataka district of Shivamogga, women's empowerment through self-help groups is the subject of this study. Both primary and secondary sources have been used to gather the study's data. The approach used was a multistage random sampling technique. To interpret the data in a way that made sense, average and percentage analysis was done. The Garret ranking method was employed to determine the motivations behind joining the self-help group. To quantify and ascertain the link between the observed variables, factor analysis was performed. The study's findings showed that the SHGs had a higher impact on the recipients' social and economic facts

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Micro Finance, Garret Ranking Technique, Woman Empowerment, SHG, Shivamogga.

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Abstract -Present study was carried out to examine the water quality assessment to Tumaria reservoir the observation of physico-chemical parameter of water such as water, temperature, transparency, TDS, PH, DO, alkalinity, chloride, turbidity, velocity. We are determine during study period in order to create the geographic thematic map on, annual variation of physical -chemical parameters. Physico-chemical study on this research paper has help in analyzing the water quality of reservoir in protecting manner to maintain the ecological balance.

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Tumaria reservoir, Physical -chemical parameters, Water quality

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As far as we are aware, Homo sapiens is the most sentient species on Earth. On the other hand, technology is developing quickly, and it is undeniable that machine learning is now replacing human skills. Arthur McCarthy first used the term artificial intelligence in 1956. The ability of a digital computer or computer-controlled robot to carry out actions typically associated with intelligent beings is known as artificial intelligence (AI). AI has a wide range of applications in the legal field. Technology in the legal field has advanced because of globalization. Artificial Intelligence (AI) is being utilized in courts in nations like the United States and the United Kingdom, where technological advancement has reached incredible heights. The technology is being advanced to assist judges in making decisions. Artificial intelligence is intangible and concentrates on tasks with the help of intelligence techniques such as: But artificial intelligence has the potential to transform everyone's daily life drastically. Whether this is a good or bad thing, we must adhere to the right framework to guarantee that AI has a positive impact.

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Artificial Intelligence (AI), "Intelligence," technology, lawyer, AI Used in Policing

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Nowadays, the usage of credit cards has dramatically increased. As credit cards become the most popular mode of payment for both online and regular purchases, cases of fraud associated with them are also rising. Criminals use fake identification and numerous technologies to attract customers and get cash out of them. Due to the increase in fraud, various techniques and methodologies have been developed for detecting it. In this paper, we discuss the different ways credit card frauds are committed and which machine learning algorithms are used by investigators to detect fraud

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Machine Learning, credit card, fraud detection, SVM, Decision Tree, Logistic regression

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Depression, a primary contributor to the global burden of disease, requires timely identification and intervention to improve outcomes. We propose a multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models. Our framework considers audio, video and text streams [1]. This study utilizes multimodal fusion, combining text, audio, and visual data, to enhance the detection of depression. Early intervention is crucial in order to prevent long-term consequences, improve treatment response, maintain functionality, reduce the risk of recurrence, prevent symptom escalation, promote physical well-being, and encourage healthy coping mechanisms. Multimodal fusion enables a comprehensive assessment, enhancing accuracy and facilitating the early detection of subtle symptoms. The objective of this research is to create diverse datasets, extract features, develop deep learning models, and evaluate performance, with a focus on contextual understanding. The methodology emphasizes the importance of high-quality and diverse datasets, and various multimodal fusion techniques have shown promising results, achieving high levels of accuracy, sensitivity, specificity, and precision. This research significantly contributes to the advancement of depression detection methodologies, providing a comprehensive solution for this complex mental health disorder.

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Depression, Multimodal fusion, Depression Detection

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In recent years, there has been a lot of interest in study on the growing use of artificial intelligence (AI) in health and medicine. Through the analysis of a patient's medical images and symptoms, AI gives intelligent computer-aided solutions that lead to effective treatment plans and the prediction of future outbreaks. Furthermore, the paucity of studies on the use of AI to certain high-burden diseases points to potential future paths for the field. The purpose of this study is to present real-time examples and issues related to AI in the healthcare sector.

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AI, Challenges, Healthcare, Real-world Scenarios

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An interesting case of rhino-occulo-cerebral mucormycosis [ROCM] in patients suffering from type 2 diabetes mellitus is described in this article. The clinical presentation is given in details. The need for high degree of suspicion, prompt diagnosis and complete surgical evacuation of inflammatory mass; and prompt initiation of antifungal therapy is discussed. The side effects associated with amphoterecin and issue regarding its total dosage is discussed

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Rhino-occulo-cerebral mucormycosis, Type 2 Diabetes Mellitus

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