Volume 11 | Issue 5

 Abstract

One of the concise fields of Natural language processing is Sarcasm Detection which is used to analyse the given text whether the text contains sarcasm or not. It is an important step in text analysis because if sarcasm is present it creates an ambiguity in the actual meaning of the sentence. Hence finding out whether the text is sarcastic is an important step. Even it is not possible for human brains to find whether sarcasm is present or not in some situations which adds more importance to Sarcasm detection. By analyzing sentiment, businesses and organizations can better understand customer opinions, identify areas for improvement, and make data-driven decisions. However, the accuracy of sentiment analysis can be affected by various factors, such as language complexity,sarcasm.The authors of the paper are final-year students from the Electronics and Telecommunication division of Pune Institute of Information Technology, who are undertaking this project as part of their academic requirements.

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Natural language processing,Sarcasm Detection,Sentiment analysis.

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Melanoma and other skin malignancies are among the most serious medical problems of the twenty-first century due to their difficult and subjective human interpretation and extremely expensive and complex diagnosis. When it comes to lethal illnesses like melanoma, early detection is crucial for assessing the likelihood of recovery. We think the use of automated approaches will aid in early diagnosis, particularly when a batch of photos has a variety of diagnoses. Therefore, in contrast to traditional medical personnel-based detection, we describe in this report a fully automated approach for identifying dermatological diseases using images of lesions. Our model is developed in three stages, which include data gathering and augmentation, model construction, and prediction. Convolutional Neural Networks and Support Vector Machine are two AI algorithms that we combined with image processing technologies to create a better structure and achieve an accuracy of 90%.

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Melanoma, Malignant, Convolutional Neural Network(CNN), Support Vector Machine(SVM).

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Employee Retention is a complicated interest of the organization. This study stressed on Employee Retention strategies. Employees are the assets of the organization. To retain skillful and committed employees in the organization, management should take care of employee satisfaction. Find out the reasons of employee turnover and overcome this. The motive of this study is to demonstrate how employee retention is integral in this day and age, and if the organizations are not conscious to the situation and immediate actions are not taken to that outcome, what reverberation lay ahead and how they would affect the organization and the industry.

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Employee retention

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Artificial intelligence (AI) is a new phenomenon, that enables machines to learn on their own, just like people do. In recent years, it has gained traction in a number of industries, including technology, business, medicine, the automobile industry, and education. But in recent years, AI has become more pervasive in marketing, assisting firms in creating every phase of the consumer journey. AI may assist companies in getting to know their target market and segmenting it as much as possible in order to create highly targeted advertising strategies. In the past, businesses have promoted their goods through print, television, and radio advertising. These options are still available today, but the development of the internet has led to a change in how companies interact with their client. Determine the impact of AI in digital marketing is the goal of this study. It will add to the body of knowledge already available on the subject of artificial intelligence in digital marketing and how it is affecting marketing. The goal of this study is to examine artificial intelligence's influence and applications in digital marketing by examining how these applications are being used, as well as to identify how businesses employ these applications to enhance their performance.

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Ai, Marketing, Business, Digital Marketing, Artificial Intelligence, Technology Machine Learning.

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The Human Values and Community Outreach project assigned for the duration of thirteen weeks was aimed at providing valuable experiences and making us socially responsible. The internship provided the opportunity to explore beyond the academic learnings and gain more knowledge about the practical aspects of society and help the people in all possible ways. The main purpose of the internship with the NGO, UMEED was to teach the underprivileged children and help them with their academics so that they could have a better knowledge and values. Apart from that the Internship also included various tasks related to social work, HR, Marketing, Finance and Environmental works which would be helpful in various ways for the society and students. The tasks were done on a weekly basis which included various aspects of the work management techniques and punctuality and discipline. The internship provided a much-needed experience so that one could understand the work ethics and the ways to deal with people and create awareness ensuring the proper discipline and management of the tasks with proper efficiency throughout the project. The tasks were assigned and completed with the coordination of the industry guide and the faculty coordinator. NGOs plays an important role in improving the education of children in India. The Indian government is focused on expanding access to education and the role of NGOs has been dominant in providing additional support to children who face various barriers to education. Many NGOs are working to provide education to underprivileged children who don't have access to it, they set up schools in remote areas and provide basic education to children who do not have access to schools or other educational resources. They also provide scholarships to deserving students so that they continue their education beyond primary school, because many children drop out of school due to financial constraints. There are various organizations that are working to improve the quality of education in government schools. They work with teachers to develop teaching techniques that are more effective and engaging for students. They also provide training to some undertrained teachers to help them improve their teaching skills and encourage them to use more interactive and child-friendly teaching methods. The issue of child labor has also been a focus. Many children in India are forced to drop out of school and work to support their families. NGOs work with these children and their families to provide education and other resources that will help them break out of the cycle of poverty and improve their future prospects. They are also working to address the issue of gender inequality in education. In many parts of India, girls are still not encouraged to go to school, they often face discrimination and harassment. NGOs are working to create safe spaces for girls to learn and grow, and they provide education and support to families to help them understand the importance of educating their daughters. The role of NGOs has been important in providing support to children with disabilities. Many children with disabilities face significant barriers to education, and NGOs work to provide them with the necessary resources and support to succeed in school. They work to make schools more accessible for children with disabilities and provide specialized education and training to teachers to ensure that they are equipped to teach children with different abilities. They have been an active participant in improving the education of children in India. Through their efforts, they are helping to create a more equitable and just society, where every child has access to the education and resources they need to succeed. However, much more work needs to be done to ensure that all children in India have access to quality education, and NGOs will continue to play an important role in this effort.

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NGO

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iapk;rhjkt O;oLFkk] ;kstuk] efgyk tuizfrfuf/k ,oa xzkeh.k vkSj vfHker gSA

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Marma Massage is an Ayurvedic technique that involves applying snehadravyas over the body with a precise amount of (very mild) pressure in particular directions while also stimulating the underlying Marma. It may be used locally or across the body. According to Ayurveda, Marma are body spots that should be protected from Sastra, kshara, and agnikarma. The role of Vata do?ha is seen as being of utmost importance in the management of Marma related disorders, and all therapeutic measures are done for maintaining the normalcy of Vata. The tenets of Ayurveda Marma Massage use a variety of therapeutic massage techniques to balance the Dosha in the living body. Numerous techniques are employed for rejuvenation, Do?ha balance maintenance, health maintenance, and the treatment of numerous conditions with musculoskeletal and neurological origins. The assumption behind treatment effectiveness is that it will normalise Vata Dosha movement and control and channel the life force (Prana) in the body. Because Vata is the primary energy type in the living body. The connective tissues that support the muscles and many other sections of the body as well as assist keep these tissues elastic are gently stretched during a Marma massage. After Marma Abhyanga is used, the structure is nourished and adjusted. Marma Chikitsa employs indigenous methods and techniques in a methodical manner to address musculoskeletal damage, although it still requires in-depth research. The use of indigenous resuscitation techniques (Adangal Prayogam) is yet another area that can be improved. Despite obstacles, Marma practise has recently developed into a more robust form that incorporates information from both traditional and modern realms.

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Marma, Marma Massage, Marma Chikitsa, Ayur veda, Vata Dosha.

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ABSTRACT Background: Migraine is a common problem encountered not only in India but the world affecting 14% of the world's population at all ages. It is a much under-diagnosed and under-managed disease entity. Migraine in women is influenced by hormonal changes throughout the life cycle- menarche, menstruation, oral contraceptive use, pregnancy and menopause. The frequency of menstrual migraine has been reported to be as high as 60%-70% in female migariners.Menstrual migraine is a headache disorder having most attacks associated withmenses, proving to be more severe and disabling. The diagnostic criteria, the 3rd edition of the ICHD (ICHD-3) is in use for menstrual migraine with or without aura. For the easy use and accurate diagnosis MMAT proved to be effective in clinical settings while evaluating menstrual migraine. While for severity and impact MIDAS is standard measure used universally for all types of migraine. Aim: To find the occurrence of menstrual migraine and its impact amongst menstrual population. Methodology: Participants were explained about the condition menstrual migraine and its severity. Their informed written consent form was taken.186 participants willingly filled the MMAT questionnaire. The females diagnosed with menstrual migraine were then asked to fill MIDAS questionnaire. The total score was then calculated and grades were given accordingly on MIDAS. Both the questionnaires were given in online Google forms format. Results: Statistical analysis was done suing frequency and percentage analysis and revealed the prevalence of menstrual migraine being 23% amongst the female population of Miraj.Amongst these 24% females had Littleordisability(Grade I) on MIDAS scale. While 39% females had Milddisability(Grade II) and 37%females had Moderate disability (Grade III). Conclusion: Menstrual migraine accounts for 23% females in community of Miraj. The attacks of menstrual migraine in majority females were moderately disabling affecting her for about 6-20 days in various fields like work, household work and leisure time, productivity.

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Menstrual migraine, menstrual migraine assessment tool (MMAT), migraine disability assessment test (MIDAS), ICHD-international classification of headache disorders.

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Psychosynthesis is an approach to psychology that expands the boundaries of the field by identifying a deeper canter of identity, which is the postulate of the Self. It considers each individual unique in terms of purpose in life, and places value on the exploration of human potential. During the time of the Upanisads, the rudimentary references to the mind and related states in the Vedas evolved and were arranged. According to Samkhya, the mind is one of the eleven sense faculties (Indriva) and is created from the ego-factor (Ahamkira). Yoga Dershan provides a method that is both methodical and practical for obtaining the highest mental state--Samadhi, which results in freedom. Mimamsa is primarily and fundamentally concerned with the comprehension and interpretation of early Vedic ceremonies and sacrifices. Mimamsa had a strong belief that the soul is real, survives death, and enjoys the rewards of one's deeds. It aggressively defended realism and denounced nihilism and romanticism.

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Mana, Indriya, Upanishad, Shadadershan, Samadhi, Psychology etc.

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The use of social media has grown exponentially over time with the growth of the Internet and has become the most effective networking platform in the 21st century. However, enhancing social connectivity often creates negative impacts on the society that contribute to a couple of destructive phenomena such as online abuse, harassment, cyberbullying, cybercrime, and online trolling. Cyberbullying frequently leads to serious mental and physical distress, particularly for women and children, and even sometimes forces them to attempt suicide. Online harassment attracts attention due to its strong negative social impact. Many incidents have recently occurred worldwide due to online harassment, such as sharing private chats, rumors, and sexual remarks. Therefore, the identification of bullying texts or messages on social media has gained a growing amount of attention among researchers. The purpose of this research is to design and develop an effective technique to detect online abusive and bullying messages by merging natural language processing and machine learning. Term frequency-inverse text frequency (TFIDF) is used to analyze the accuracy level of four distinct machine learning algorithms.

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Cyberbullying, machine learning, natural language processing, term frequency-inverse document frequency

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The high competitive modern market has witnessed a resurgence of business and product development and in the way the marketers interact with their customers.This article reports on research assessing the performance impact of the intensity of customer interaction in different stages of the sale the characteristics of the customers involved in the same. The research is based on field interviews and statistical analyses of a sample in the durable goods market. Results indicate that customer interaction during certain stages of the sales development process has a positive impact on business success. The characteristics of the involved customers have a significant effect.

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Customer,satisfaction,customer interaction,durable goods.

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Examining the adoption of E-Banking and how it affects customer satisfaction metrics like convenience, accessibility, privacy, security, and assurance, reliability and responsiveness among Cooperative Banks of Ahmednagar City are the two main objectives of this study. Design, methodology, and strategy - Using a random sampling procedure, primary data were gathered from 300 customers of selected Cooperative Sector Banks in Ahmednagar District who represented the targeted range of demographic attributes (including gender, age, income, qualification etc.). Primary data were collected using a structured questionnaire. The data was analyzed using both statistical analysis and descriptive analysis. Findings - Customers are more satisfied with cooperative banks in the Ahmednagar district when they have convenient access to information, privacy, security and assurance, reliability, and responsiveness. It was also expected that individual criteria including gender, age, marital status, and education would have a different impact on how these attributes affected consumer pleasure. Results show that the bank should adequately inform customers about its charges.

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E-Banking, Customer satisfaction, Convenience, accessibility, privacy, security and assurance, reliability, and responsiveness

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Coconut husk, sugarcane bagasse, and orange peels are examples of agricultural waste products that can be used as biosorbent materials. In this work, coconut husk, sugarcane bagasse, and orange peels were employed as adsorbents to explore their potential to adsorb zinc, nickel, and chromium. Zinc, nickel, and chromium ions were adsorbed in a batch adsorption experiment employing various parameters, including contact duration (30, 60, 90) minutes, pH (5, 6, 7, 8) and adsorbent dosage (5, 10, 15) g. Adsorption of zinc, nickel, and chromium will be optimized using raw coconut husk, sugarcane bagasse, and orange peels at various contact times, pH levels, and adsorbent dosages. In general Orange peel showed greater adsorption efficiencies than Coconut husk and Sugarcane bagasse. Adsorption of Chromium on Orange peel, Coconut husk and Sugarcane bagasse was very fast and more efficient than Zinc and Nickel. The maximum adsorption efficiencies for Zinc, Nickel and Chromium on Coconut husk, Sugarcane bagasse and Orange peel are found to be 59.33% for Orange peel, 57.17% for Coconut husk and 69.02% for Orange Peel In conclusion, raw coconut husk, Sugarcane bagasse and orange peels can adsorb zinc, nickel and chromium ions from aqueous solutions.

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heavy metals, adsorption, coconut husk, sugarcane bagasse, orange peel, zinc, nickel, chromium, adsorbate, adsorbent

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MMOFLP fulfils the thirst of knowledge and offers online content that can be delivered for the learner at anywhere, anytime and any age through a wide range of e-learning solution while compared with traditional learning system. E-Learning can include training, the delivery of just-in-time information and guidance from experts. It also provides the rapid access to computer courses knowledge and information. Learners obtain knowledge easy through e-Learning systems. This Webpage contains various multimedia features Courses Learning media, Quiz, Brain Games and pdf to audio book converter .

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MMOFLP, Online Free Learning platform, E-learning, pdf to audiobook, brain games, quiz, massive learning , html, css, javascript, python, java, study, learning media

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The Cactaceae family includes many of the most commercially valuable species in the Cactaceae genus. Prickly pear and corn silk have ultimate cooking and health benefits that can help promote health and prevent certain diseases. It is used in Mexican folk medicine for ulcers, liver disease, and other problems, so it is also imported into food stores. The health benefits of prickly pear were lower cholesterol, improve digestion, reduce the risk of diabetes, boost immunity and promote bone growth. Cactus pear is a fruit that is often consumed fresh. There are many methods of storing fruits. In this world of growing interest in healthy food and lifestyle, it makes sense to market crops that can promote health and wellness. This section needs to evaluate the benefits and thoughts of this plant in human life, especially with the help of nutrition for the nephritis patients and the food products it contains, in terms of health.

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Opuntia- ficus, prickly pear, Inflammation, Nutrition, Anti-oxidant, Culinary, Corn silk .

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The most challenging task is the communication between Deaf-Dumb and a normal person. Our proposed project aims to help people by means of a Glove based interpreter system. The glove is equipped to our hand and with the help of glove we can do Hand gestures For each unique gesture, the gesture module produces a equivalent change in resistance and accelerometer measures the orientation of hand. Hand gestures are controlled in the controller. One of the difficult methods used in sign language for non-verbal communication is The Hand Gesture. Generally, the people who are having hearing or speech problems use such type of communication to communicate among themselves or with normal people.

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Deaf & Dump People, Communication for Impaired People

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The goal of the feasibility study is to examine MRF Tyres dominant position in the Indian Tyre market. For many years, the well-known Tyre maker MRF Tyres has dominated the market. This research looks into the success and dominance of MRF Company in the Tyre industry by collecting responses from customers. The research is started by gathering the appropriate financial statements, such as the income statement, balance sheet, and cash flow statement for the given period, in order to conduct research on MRF's financial performance from 2012 through 2022. The success of the company would then be assessed using financial ratios and measures, such as profitability, liquidity, and solvency ratios. Comparing the company's performance to industry benchmarks and competitors would show where it is outperforming or falling short. To evaluate the company's financial performance, trends, strengths, weaknesses, or areas for improvement would be found. The implications of the findings for possible business opportunities and investment opportunities will be examined. The research's results would be presented simply and plainly using visual aids like charts and graphs. A deeper knowledge of the company's sales and profitability trends over the past ten years could be one of the expected consequences of this study on the financial performance of MRF Tyres from 2012 to 2022. The analysis of MRF's profitability using indicators like net income and profit margins could reveal any patterns or variations in revenue growth. The financial situation and debt levels of the organization, as well as its cash flow and working capital management, might all be examined in this study. The study also assess the company's future growth potential and investment options, as well as compare MRF's performance to industry benchmarks and rivals. In the end, the anticipated study findings may offer insightful information to stakeholders, investors, and the management team of the organization. The research is carried out from the aspects of people collected through the survey conducted to study the reasons for the success of MRF. Then the collected data is analyzed and represented using visual representation tools such as pie charts and line graphs.

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Cricket Icons, Profitability, Debt, Regulatory environment, Industry trends, Cash flow, Competitors, Working Capital, Return on Assets, Return on Equity.

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Detecting and classifying crop diseases is crucial for maintaining crop productivity and quality. Traditional methods of crop disease identification are time-consuming and labour-intensive. Therefore, computer-based techniques have been developed to identify the disease automatically. Furthermore, wheat is the third most harvesting and consumed grain after rice and maize. Nowadays, crop disease detection is one of the leading research topics. Deep learning algorithms have recently been used to recognize and categorize various wheat diseases. This article describes a proposed deep learning-based method for detecting and classifying wheat diseases using a Residual Network (ResNet152), considered one kind of Convolutional Neural Network (CNNs). The proposed method achieves higher accuracy in identifying and classifying different types of wheat diseases than other existing methods. Moreover, it is observed through the results that the proposed approach provides the early detection and treatment of wheat diseases, leading to improved crop yielding and quality.

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Convolution Neural Network, Deep learning model, Wheat crop disease, Image analysis, Performance evaluation

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Women in most settled societies have experienced unequal status, exploitation and oppression on account of their gender. Leena Yadav in her film Parched has explored the underlying reasons for the secondary treatment of women and the varied paths towards empowerment through the characterization of four women Rani, Lajjo, Bijli and Janaki belonging to a conservative society in rural Rajasthan. The paper examines how patriarchy, traditional values and lack of education affect the lives of women in the movie leading to their suppression. It also analyses the commodification of women's bodies, the role of marriage in women subjugation and the impact of motherhood as a repressive force. The role of language in reinforcing gender inequality is discussed too. It sheds light on the importance of female companionship and empowerment of women to break away from the shackles of patriarchy. Essentially the paper is an attempt to identify and address the forces that perpetuate women subjugation in society.

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Feminism, women subjugation, patriarchy

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Solid waste management includes collection, transfer, resource recovery, recycling and treatment of waste. The main target is to protect population health, promote environmental quality, develop sustainability and provide support to economic productivity. The problem of solid waste is having an impact on the urban environment of the Chalakudy market as well. The primary purpose of the study was to conduct an inquiry of the current situation regarding the segregation and treatment of garbage in the Chalked market. This investigation covered the collection, separation, treatment, and disposal of waste. The necessary data was gathered from the Chalakudy Municipal Corporation as well as through individual field visits. The methodology of this project consists of data collection and proposing a convenient method for efficient solid waste management in chalakudy market. The Chalakudy municipality consist of a total of 41 number of wards, stretching over an area of 33.57 sq Km. The total population of Chalakudy Municipality as per 2011 census is 65,031, with 16433 houses, 3 markets and 2200 shops. The amount of solid waste generated making a total of 16,350 kg waste per day in chalakudy market. Non-Biodegradable waste generated is about 1 tonne waste per day. The physical composition of waste consist of 2% of inert materials, 2% of ash and fine earth, 2% of plastic waste, 4% of domestic hazardous, 80% of compostable organics, 1% of metals and 1% of glass. The present procedure is as follows solid waste is collected from market. The waste is then stored segregation is done. The segregation is done manually by the workers of chalakudy municipality. The disposal and treatment consist of Thumboormuzhy Aerobic Model. The plastic is sold to green Kerala mission and no other treatment is adopted. From the studies it was understood that the Chalakudy lacks a efficient segregation unit. The segregation of is done manually which is not efficient method for segregation. Hence proposed a convenient method i.e MRF, material recovery facility, which is semiautomatic in nature and provided a solar panel as a renewable source of energy and providing a system for treating the blood of slaughtered animals.

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Slaughter wastewater, material recovery facility, biodegradation, Anaerobic pond, Facultative pond, Maturation pond

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