Volume 12 | Issue 5

 Abstract

Health plays a very crucial part in our life. Like the quote says "Health is Wealth" if we have good health then it will lead to prosperous life. Therefore, we need to take care of our health no matter what. Our health should not get affected neither physically nor mentally. As we know that we cannot meet the doctor on daily basis. Looking at current scenario, life is very hectic we don't have time to make doctor's appointment. So to make it easier for us to communicate the doctor's we have created healthcare chatbots. Due to chatbots the person can ask any health related questions or doubts they are facing at that movement point of time and the chatbot will answer it. If we take a look at people they don't prioritize their health, which may lead to severe diseases. This Health care chatbot will make them understand the disease by studying the symptoms then predicting the disease. It is no charge service that will help user to get health related information in no time. Hence, Healthcare chatbot is used to understand and analyze human emotions.

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 Keywords

Natural Language Processing, Decision Tree, Support Vector Machine, DialogFlow.

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Teachers play a pivotal role for education of all children. Favourable and positive attitude of teachers towards children with disabilities is a major aspect of teaching-learning process and also for the growth and development of children with disabilities in the inclusive classroom. Hence the aim of this paper is to examine the attitudes of primary school teachers towards inclusive education. A sample of 120 primary school teachers was used for this purpose. The sample was chosen from the district of Uttar Dinajpur, using the mixed method technique. The researcher conducted a descriptive survey study.

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 Keywords

KEYWORDS: Primary school teacher, attitude, inclusive education.

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 Abstract

The growing popularity of electric vehicles (EVs) calls for the creation of effective and user friendly infrastructure for charging them. The automatic wireless power hub for EVs that is suggested in this study provides a simple and convenient charging experience.

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 Keywords

Automatic wireless power transfer (AWPT) ,Electric vehicle (EV) charging, Wireless EV charging, Inductive charging (if applicable)

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Abstract: Street lighting constitutes a significant portion of total energy consumption in urban areas. This paper proposes a novel approach to street lamp control systems, emphasizing remote monitoring to mitigate maintenance costs and energy usage. The study aims to introduce an efficient street lighting system capable of substantial energy reduction. Currently, many countries employ conventional street lights operating solely based on light intensity, often utilizing energy-intensive fluorescent lamps. In contrast, this study advocates for a smart lighting system incorporating cutting-edge Light Emitting Diode (LED) technology and sensor networks driven by microcontrollers. A comparative analysis between the proposed smart lighting system and conventional street lighting systems is presented, focusing on energy consumption. The system's architecture is simulated using the Proteus environment interfacing with microcontrollers. The results indicate a significant reduction in energy consumption with the implementation of the proposed smart lighting system. Additionally, the system's automation features, including automated on/off cycles synchronized with vehicle movement times, further optimize energy efficiency. Overall, this research presents a promising avenue for enhancing urban energy sustainability through intelligent street lighting systems, potentially yielding substantial environmental and economic benefits.

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 Keywords

Keyword: Smart Street Lighting, Energy Efficiency, LED Technology, Sensor Networks, Microcontroller Integration, Remote Monitoring, Automation, Energy Consumption Reduction

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 Abstract

Advanced Heart Disease Prediction: Harnessing Hybrid Machine Learning" explores the fusion of traditional statistical methods with cutting-edge machine learning techniques to enhance the accuracy and efficacy of heart disease prediction models. This abstract outlines the integration of diverse data sources, including medical records, genetic profiles, and lifestyle factors, into a comprehensive predictive framework. By leveraging hybrid machine learning approaches such as ensemble methods and deep learning architectures, the proposed system achieves superior performance in identifying individuals at risk of developing advanced heart disease. Through a rigorous evaluation process on real-world datasets, the effectiveness and robustness of the hybrid model are demonstrated, underscoring its potential to revolutionize cardiovascular risk assessment and improve patient outcomes

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 Keywords

Heart disease, Machine learning (ML), genetic profiles, medical records, prediction models

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Heart disease remains a leading cause of morbidity and mortality worldwide, necessitating effective and early diagnostic tools. Machine learning (ML) techniques have emerged as powerful tools for predicting heart disease, offering potential improvements in accuracy and efficiency over traditional methods. This systematic review evaluates the performance and applicability of various ML models in heart disease prediction. We conducted a comprehensive literature search, selecting studies that applied different ML algorithms, including decision trees, support vector machines, neural networks, and ensemble methods, to heart disease datasets. Key performance metrics such as accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC-ROC) were extracted and analyzed. Our findings highlight the strengths and limitations of each model, with ensemble methods and neural networks generally outperforming others in terms of predictive accuracy. However, challenges such as data quality, interpretability, and clinical integration remain significant. This review underscores the need for standardized evaluation frameworks and the incorporation of domain-specific knowledge to enhance the reliability and adoption of ML models in clinical practice for heart disease prediction. Future research should focus on improving model transparency and developing robust, generalizable solutions to facilitate widespread clinical application.

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 Keywords

Heart disease, Machine learning (ML), neural networks, disease prediction, clinical application.

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This research investigates the development of an AI-powered companion designed to provide emotional support to individuals facing challenging circumstances. The AI system interprets and responds to emotional cues through a sophisticated workflow that converts user input into contextually relevant interactions. The process involves generating empathetic textual responses to user inputs, transforming these responses into natural-sounding speech, and synchronizing the digital human's lip movements with the audio to enhance interaction realism. This seamless integration of speech synthesis, and lip synchronization aims to create an immersive and supportive user experience. This study contributes to the field of AI-driven emotional support by demonstrating the potential of advanced technologies to deliver meaningful and human-like interactions, promoting mental well-being and offering a novel approach to digital emotional assistance.

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 Keywords

Emotional Support Virtual Assistant (ESVA), Artificial Intelligence in Emotional Well-being, Digital Human Avatar, AI-driven Companionship,Artificial Intelligence

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In the age of rapid technological developments and advancement, conventional Learning Management Systems (LMS) often struggle to meet the ever-changing needs of learners. the emerging technologies of AI and Machine Learning and bigdata are able to provide various kind of analytics including descriptive, diagnostic, predictive, and prescriptive analytics, as well as recommender systems and adaptive learning techniques. These analytics are useful for understanding, interpreting, prediction, decision making and building recommended system. By harnessing machine learning techniques, the shortcomings of traditional Learning Management Systems (LMS) platforms can be addressed. By incorporating the prescriptive analytics, Learning Management Systems (LMS) can be tailored made with recommendations to students, faculty by facilitating proactive interventions that are based on historical data patterns. The prescriptive analytics not only empowers teachers with insights for resource optimization and instructional strategies but also fosters an adaptive educational ecosystem that evolves alongside the diverse needs of learners and educators. This paper provides the recent developments on Learning Management System (LMS) and the role of ML techniques to provide Learning analytics aiming to revolutionize the learning experience.

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Prescriptive Analytics, Learning Management System, Machine Learning, Personalized Recommendations, Educational Ecosystem.

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The Animal Intrusion Detection System, employing the YOLO v5 Algorithm, presents an innovative solution to safeguard farm animals and mitigate losses due to predation in agricultural settings. In response to the challenges faced by traditional monitoring methods, this system offers swift, accurate, and automated detection and classification of farm animals. Leveraging the advanced capabilities of the YOLO v5 Algorithm, the system provides real-time monitoring and alerts, empowering farmers to respond promptly to potential threats. This paper provides a detailed exploration of the system architecture, including the integration and customization of the YOLO v5 Algorithm for animal intrusion detection. The implementation process, encompassing data preprocessing, model training, and system optimization, is discussed to achieve optimal performance in farm environments. Furthermore, the practical implications and benefits for modern agriculture are elucidated, including enhanced farm security, reduced losses, and improved resource allocation. By providing actionable insights and real-time alerts, this project empowers farmers to proactively manage animal intrusions, optimize farm operations, and enhance productivity and sustainability in the agricultural sector.

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Object Detection, YOLO v5, Animal Intrusion, Machine Learning, Animal Detection, Single Stage Object Detection Algorithm.

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This paper aims to understand the relationship between Resilience and Emotional Intelligence among High School Students. A Quantitative approach has been adopted in this research by taking data from 194 participants who were High School Students (adolescents) from 13 to 19 years using two instruments. For Resilience, The Resilience Scale by Wagnild and Young was used and to measure Emotional Intelligence, The Shutte Self- Report Emotional Intelligence Test. Results showed a positive and strong relationship between Emotional Intelligence and Resilience among High School Students through Pearson- Moment Correlations using SPSS (r= .621, p= <.001) exhibiting a signification correlation and implying that a High score EQ means exhibiting higher Resilience in the face of adversity. Results also showed that there is a difference in levels of Emotional Intelligence and Resilience of students who belong to the same age bracket (15 years) but are in different grades (IX and X) (Data on Table 2). Mean and Standard Deviation of all 194 students was 118.26 and 14.53, respectively. The study has contributed to the field of Psychology and Sciences by strengthening evidence that exists on the relationship between Resilience and Emotional Intelligence among High School Students and that school grade influences the levels of Resilience and Emotional Intelligence among students. Thus, establishing evidence that grade/division plays a role in Emotional Intelligence and Resilience.

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Emotional Intelligence. Resilience. High School Students, Quantitative Approach.

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The proposed Face Gesture and Voice Command Based Virtual Mouse system, which also functions as a virtual assistant, introduces accessible method for interacting with computers and devices. This innovative system enables the manipulation of the cursor on computer screens through facial movements and verbal commands. It contains speech recognition module then converts the voice input into text by using speech recognition using pyautogui module then that text matches with the conditions provided in the program if conditions match with program then it executes the operation. Leveraging real-time video captured via a web-camera or voice prompts, it provides an alternative user interface for enhanced computer interaction. Consequently, this solution holds considerable promise for individuals with physical disabilities. Ensuring the precise interpretation of facial gestures and voice commands is paramount for effectively controlling the mouse pointer and executing essential functions.

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Virtual assistant, Virtual mouse, Speech recognition, Face gesture

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 Abstract

Earth has an inbuilt mechanism of keeping balance among its structural and functional components. Extreme anthropogenic activities like overexploitation of natural resources and rapid industrialization are interfering with the regulatory functions of the ecosystem. Increase in concentration of greenhouse gases in the atmosphere mainly due to human activities has led to increase in global temperature after industrial revolution. Carbon dioxide is a major driver of global warming. Recognizing the underlying threats of global warming on humanity as well as Earth's biodiversity, Paris Agreement mandated the participating countries to limit the global carbon emission so as to not let increase the global temperature above 2oC in near future with respect to pre-industrial levels and also to keep pursuing efforts to attain 1.5oC. In this regard, IPCC presented special report on the assessment of the impacts of rise in temperature up to 1.5oC above pre-industrial levels on the environment and the world in 2018 which revealed many horrifying facts associated with global warming in near future. In this report, IPCC also provided recommendations to mitigate this problem. Moreover, this report formed the background of COP24 which was held in order to assure the full implementation of Paris Agreement by the participating countries. COVID19 pandemic associated restrictions imposed by different counties all around the globe has shown some positive changes in the environment with respect to carbon emission and atmospheric concentrations of other pollutants. In this review article, authors have made an attempt to assess the impacts of this lockdown on the environment in light of the recent IPCC report and outcome of COP24. Coupling solutions of social and economic issues together with environmental issues during the process of development has been suggested as a sustainable way to achieve holistic global growth in a greener way.

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Homeorhesis, COP 24, IPCC, CDR, NAQI

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 Abstract

Modern Kannada drama and folk Kannada nataka

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Modern Kannada drama and folk Kannada nataka

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This paper aims to yield oxalic acid from sucrose with the assistance of nitric acid and explore its application in enhancing detergent quality. Oxalic acid, a dicarboxylic acid, was chosen due to its potential as a chelating agent and its ability to improve detergent performance. The production process involved the reaction between sugar crystals (sucrose) and nitric acid, followed by purification to obtain high-quality oxalic acid suitable for detergent formulations. The purified oxalic acid was then incorporated into detergent formulations to assess its effectiveness in improving cleaning efficiency and stain removal. The results demonstrated the feasibility of utilizing oxalic acid derived from sugar crystals to enhance detergent quality, highlighting its potential applications in the detergent industry.

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Keywords- Oxalic acid, Detergent, Sugar, Nitric Acid.

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Abstract Introduction: One of the oldest documented medical systems is the Siddha system, which originated in the Indian subcontinent. Siddhars who were the pioneers of the Siddha system have been writing down the formulation of numerous remedies since ancient times. Among those formulations, Maha Analuruva Chooranam (MAC) is one of the polyherbal formulation, which is said to be prescribed for all types of vatha diseases in classical siddha texts. Rheumatoid arthritis (RA) is one among those 80 types of vatha diseases. Rheumatoid arthritis (RA) and other musculoskeletal conditions will benefit from the use of this medication. Drug standardisation and publication are seen as the keys to spreading authenticity in today's globalised society. MAC was standardised using PLIM criteria, which were crucial to the process of Occidentalising. Material and methods: MAC was made in accordance with GMP regulations. Physico-chemical analysis, HPTLC, TLC investigation, and the finding of organoleptic qualities are all part of drug standardisation. The investigation was conducted at Noble Research Solution's facility in accordance with PLIM criteria. Results: Research findings indicate there are six peaks in the HPTLC screening graphic. Other characteristics include loss of drying (7.23 %), total ash value (2.6%), acid insoluble ash (0.06%), water soluble extraction (9.66 %), alcohol soluble extraction (4.13 %), and pH (6.60) which is weakly acidic. Conclusion: Future clinical research and standardisation would benefit from the published data.

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Key word: Maha Analuruva Chooranam (MAC), Rheumatois arthritis (RA), Musculoskeletal, pharmacopoeial laboratory for Indian medicine (PLIM), Nobel research institute, High Performance thin layer chromatography (HPTLC).

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Education is a fundamental and vital part for human turn of events, and thus it could be viewed as an essential right, past security and means. In point of fact, if subsistence is a fundamental right, then having the ability to subsist necessitates education. Here, we are not in any event, discussing advanced education, simply higher education, which is most certainly important for everybody to have the option to initially understand that specific freedoms are denied to them or are encroached and further safeguard their different privileges. Education makes an optimal individual by giving an understanding into the external world and remodels him as a reasonable person. Right to Education has been broadly acknowledged and perceived universally. There is explicit acknowledgment of the right to education in a portion of the global instruments. According to United Nations Universal declaration of Human rights everybody has the right to education. Education will be free, in some measure in the elementary and fundamental stages. The Indian constitution is known to be a report focused on civil rights. The constitution has perceived education as the substance of social change. The Right of children to free and compulsory education Act came into force from April, 1 2010. The detail elaboration of the right and its changes are made sense of in this paper. The Right to Education explains that necessary education implies commitment of the Govt. to give free Elementary education. This paper makes sense of the need of education which engages the group of people yet to come and it ought to continuously be the primary worry of any country.

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- Education, Constitution, Right, India

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This research paper delves into the exploration of culture through the prism of Rabindranath Tagore's poetry, elucidating the significance of studying his work within the framework of culture studies. Tagore, the revered Nobel laureate poet from Bengal, offers a profound insight into the complexities of culture, identity, and human experience through his poetic compositions. By examining Tagore's poetry through the lens of culture studies, this paper aims to unravel the intricate connections between literature, society, and cultural discourse. Through a comprehensive analysis of Tagore's themes, imagery, and poetic techniques, an endeavour is made to illuminate how his poetry reflects and critiques the cultural norms, values, and ideologies of his time. Furthermore, this research endeavours to demonstrate how Tagore's poetic legacy continues to resonate in contemporary cultural studies, inspiring ongoing discourse on the dynamics of culture, identity, and human expression.

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Culture Studies, Identity, Ideology, discourse

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In this project, we propose the development of an innovative pre-ordering system for hotel restaurants to address the prevalent issue of extended wait times for travelers. The system will be implemented as a mobile application, allowing hotel guests to customize and pre-order their meals in advance. This proactive approach aims to minimize wait times, streamline the dining process, and enhance overall guest satisfaction. The system's functionality includes a user-friendly interface that enables guests to browse restaurant menus, customize their orders, and specify dietary preferences. The order is placed, and payment is processed in advance, with meal preparation initiated as the user approaches the hotel. Upon check-in, the freshly prepared food is ready for quick pickup or delivery to the guest's room. Key benefits of the proposed system include time savings, reduced frustration, and a more flexible and convenient dining experience for guests. Additionally, the system is expected to drive increased revenue to hotel restaurants, enhance guest loyalty, and improve overall satisfaction. The implementation plan involves the incorporation of advanced features such as real-time maps and push notifications. To ensure a successful rollout, the project recommends starting with large hotel chains in major markets before expanding globally. The anticipated impact of this project aligns with the growing trend of digitalization in the restaurant industry, offering a modern solution to enhance the dining experience for travelers.

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Reservation, Booking, Food, Pre-Order

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Interpersonal conflicts are ubiquitous in romantic relationships, often leading to distress and dissatisfaction among partners. Narcissism, characterized by a grandiose sense of self-importance, a need for admiration, and a lack of empathy, has been identified as a significant factor influencing the quality and dynamics of interpersonal relationships. Narcissistic individuals often engage in self-enhancing strategies and distortions of reality, leading to difficulties in perspective-taking and empathizing with their partners' experiences and emotions. These cognitive and affective deficits contribute to communication breakdowns, misunderstandings, and power struggles within romantic relationships, exacerbating conflict dynamics. This research paper investigates the intricate relationship between narcissism and interpartner conflicts, aiming to shed light on how narcissistic traits influence the occurrence and nature within romantic dyads. Drawing upon a comprehensive review of existing literature on narcissism and the impact on interpersonal interactions. Methodologically, this paper employs quantitative measures such as surveys assessing narcissistic traits and overall couple satisfaction. Preliminary findings suggest a complex interplay between narcissistic tendencies and interpersonal conflicts, with higher levels of narcissism correlating positively with increased conflict frequency and intensity. Implications of these findings extend to both theoretical and practical domains, highlighting the importance of understanding narcissism in the context of romantic relationships and offering insights for therapeutic interventions aimed at mitigating conflict and enhancing relationship satisfaction.

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Interpersonal conflicts, Romantic relationships, Narcissism, Conflict dynamics, Couple satisfaction, Quantitative measures

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Water pollution has become a pressing global concern, necessitating innovative solutions for its mitigation. This project presents the design, development, and evaluation of a smart water cleaning boat equipped with wireless connected electronic system to efficiently remove floating wastes from water bodies. The boat's adaptive cleaning mechanisms include rotational motion of DC motors equipped with conveyor belt for collecting floating debris, plastic, leaves, psilophytes present on water surfaces. These mechanisms are controlled by a microprocessor based electronic system which has a wireless connection established with a mobile phone. The project involves a comprehensive design and development process, including conceptual design, component selection, software development, and prototype construction. Results from the performance evaluation demonstrate the effectiveness of the smart water cleaning boat in removing pollutants, reducing water contamination by floating wastes, and improving water quality. User feedback from field testing highlights the ease of operation and the boat's potential for addressing water pollution challenges in various environments. Overall, this project contributes to the advancement of smart technologies for environmental conservation, offering a promising solution for the sustainable management of water resources and the protection of aquatic ecosystems.

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 Keywords

Motor, Arudino uno microcontroller board, Motor driver controller, Bluetooth circuit, Conveyor, Collector

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