Volume 12 | Issue 5

 Abstract

The integration of Internet of Things (IoT) technology in grass cutting processes revolutionizes traditional lawn maintenance practices by enabling real time monitoring, data-driven decision-making, and enhanced efficiency. This paper explores the design and implementation of an IoT-enabled grass cutter system aimed at optimizing lawn care operations. The proposed system comprises smart sensors embedded within the grass cutter, which continuously collect environmental data such as grass height, moisture levels, and weather conditions. These sensors transmit data to a centralized IoT platform, where it is processed and analysed in real-time. Machine learning algorithms are employed to derive insights from the data, facilitating predictive maintenance scheduling, optimal cutting patterns, and resource allocation. Furthermore, the IoT platform interfaces with a user-friendly mobile application, allowing homeowners or maintenance professionals to remotely monitor grass cutting progress, adjust settings, and receive alerts or notifications regarding maintenance tasks. This seamless integration of IoT technology not only enhances operational efficiency but also promotes sustainability by minimizing resource usage and reducing environmental impact.

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Grass Cutter, IoT, Internet of Things, Real Time Monitoring

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Color blindness is a type of disease in which a person cannot differentiate between some colors like red-green blue-yellow. A color blindness test helps to detect the correct type of color blindness. If you cannot pass the test you suffer from color vision deficiency. It is also called color blindness. Most color blindness tests can specify that children who have problems identifying colors such as red-green and blue-yellow can be treated easily if they are below 5 years. This could be A characteristic in specific activities in school and at home. Color blindness is a very common condition: out of 10 people one color blindness patient has some level of color blindness of visual impact, however there are many tasks in daily life that require the ability of color recognition and visual discriminate. Color blindness cannot be cured. Today, technology gets up with solutions to help individuals with color blindness to see the image and distinguish between the different yet the most basic colors using some algorithms.

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Color Vision Deficiency, Color Correction, Recoloring, Accessibility.

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Vision Vigil is a video classifier, leveraging state-of-the-art machine learning model and generative AI to tackle the challenges in categorizing digital multimedia. The project's primary objective is to efficiently distinguish between Safe for Work (SFW) and Not Safe for Work (NSFW) content, providing users with preemptive content warnings. By integrating a ML model and LLM model, Vision Vigil ensures accurate classification, offering a proactive approach to content analysis. This innovative system goes beyond conventional video categorization, empowering diverse domains such as entertainment, security, education, and healthcare. Vision Vigil's adaptability enables seamless integration into various applications, offering a versatile solution for platforms prioritizing user safety. Through its sophisticated technology, Vision Vigil stands as a sentinel, cautioning viewers about the nature of video content and contributing to a more secure and informed digital landscape. In an era dominated by digital multimedia, Vision Vigil emerges as a crucial tool for enhancing content moderation and user experience.

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 Keywords

Video Classification, Audio Analysis, Text Classifier, Machine Learning, Multimedia Content, Deep Learning, Content Categorization, Generative AI, Gemini API Feature Extraction, Neural Networks, Sentiment Analysis, Image Recognition, Pattern Recognition, Content Moderation, Digital Media, Audio Segmentation, Video Analytics, Speech-to-Text, Image Classification, Language Models, Predictive Modeling, Information Retrieval, Topic Modeling, Audio Clustering, Document Classification, Image Segmentat

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The integration of renewable energy sources like photovoltaic (PV) solar panels and wind turbines (WT) into the smart grid is highly beneficial due to the inherent advantages of these resources. Solar and wind energy are not only environmentally friendly and sustainable but also widely available and cost-effective. By leveraging the capabilities of the smart grid, which includes advanced communication, control, and automation technologies, the efficiency and reliability of renewable energy systems can be significantly enhanced. This integration supports the transition to a cleaner energy landscape, reduces dependence on fossil fuels, and helps mitigate the impacts of climate change by lowering greenhouse gas emissions. The hybrid system approach, combining both solar and wind energy, further improves energy stability and availability, compensating for the intermittent nature of these renewable sources.This comparative study aims to evaluate the efficiency and effectiveness of these MPPT methods in optimizing the power output from the hybrid renewable energy system. Particle Swarm Optimization (PSO) is known for its robustness and fast convergence, potentially offering superior performance in tracking the maximum power point under varying environmental conditions. On the other hand, the P&O method is simpler and more widely used, but it may not perform as well in rapidly changing conditions. By implementing and simulating these techniques in MATLAB/SIMULINK, the study provides insights into their practical applications and performance metrics, guiding the development of more efficient renewable energy systems.

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Hybrid system, Photovoltaic system, Wind Power Energy System

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This study was conducted to the understand how the impact of mobile phones influences emotional reactivity and anxiety in middle adolescents, young adults and middle aged adults in the current scenario. The aim of this study focused upon the relationship between nomophobia, emotional reactivity and anxiety. The results of this study indicate that there is a significant relationship between nomophobia, anxiety and emotional reactivity based on gender, it was found that emotional reactivity is higher in females than males. Furthermore, based on age groups it was found that nomophobia between 14-17 years and 18-29 years, also between 14-17 years and 30-65 years is significant. Anxiety is predominantly significant between the age group of 14-17 years and 18-29, as compared to the difference between 18-29 years and 30-65 years. Lastly, it was found that nomophobia has an effect on emotional reactivity.

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Key words: Nomophobia, Anxiety, Emotional Reactivity, Middle Adolescence, Young Adults, Middle Aged Adults.

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The advancement of blockchain technology has benefited many different businesses, and the legal sector is no exception. The blockchain legal rights manager is one of the applications that stands out because it seeks to completely alter how legal rights are handled and safeguarded. This ground-breaking solution uses the immutability, transparency, and decentralized consensus capabilities of blockchain to build an effective and secure platform for registering, confirming, and enforcing legal rights. The blockchain legal rights manager uses smart contracts to ensure that legal agreements are automatically carried out, which increases efficiency and lowers transaction costs. Additionally, the transparency of blockchain offers real-time access to accurate information for all parties, eliminating the need for middlemen and boosting confidence. This technology can be used in a variety of situations involving legal rights, including those involving intellectual property, real estate ownership, and contractual obligations. The proper application of this system will enable people and organizations to more efficiently safeguard their legal rights, lower fraud, and speed up the judicial system.

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Blockchain technology ,Legal sector, Blockchain legal rights manager ,Legal rights ,Immutability ,Transparency ,Decentralized consensus ,Smart contracts

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In today's digital age, understanding and responding to human emotions play a crucial role in enhancing user experiences. This research aims to develop a personalized music recommendation system by analyzing the user's emotional state through a chatbot interface. Leveraging tone analysis algorithms, the chatbot interacts with users, detecting their sentiments based on text inputs. By integrating readily available APIs for playlist generation and recommendations, the system tailors music suggestions to match the user's mood. Through text-based interactions, users can receive soothing music recommendations aligned with their emotions, offering a source of comfort and relaxation in stressful times. This proposed system not only identifies the user's current mood but also provides a platform for seamless human-computer interaction, emphasizing the importance of emotion recognition in enhancing user engagement and satisfaction.

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Keywords-- Chatbot, Song recommendation, last.fm API, playlist generation, Music classification, Text analysis, Machine Learning, Support vector Machine (SVM), Sentiment analysis, Cakechat, IBM tone Analyzer.

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Ambedkar has been the biggest critic of the Hindu Social order of all times. The rights of the socially dominant castes i.e.( Brahmin caste) were protected but not of those who belong lower castes. He knew that the Depressed classes' people must have specific rights otherwise they would be exploited and alienated from the society as well as from himself. According to him, the Varna-Vyavastha had developed into a social order of exploitation and oppression. According, to Ambedkar, society must be based on reason, and not on atrocious traditions of the caste system. He found education, inter-caste marriage and inter-dine as methods which may eliminate caste and patriarchy. But with time he realized that the Hindu social order had plagued our society to such an extent where even these methods would fail to annihilate caste from the grass root level. He also talks about social justice which is a means to create an ideal or just society based on the principles of social justice and a combination of three component i.e. liberty, equality and fraternity.

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Dominant, Oppression, Exploitation, Plagued, Dalits, Untouchability

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The goal of this project is to detect credit card theft in actual situations. The amount of credit card frauds that occur now days is far higher than it was in the past. Phony identities and other technologies are being used by criminals to trick people and extract money from them. Finding a remedy for these kinds of frauds is therefore crucial. We created a model for this proposed project to identify fraudulent activities in credit card transactions. The majority of the crucial elements needed to identify unlawful and criminal transactions are available in this system. The ever-evolving nature of technology makes it more challenging to monitor the activities and trends of illicit transactions. One can use the growing array of technology available to them to come up with a solution.

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Machine Learning, Random Forest, Fraud, Decision Tree

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Obesity is a significant public health challenge worldwide and is inextricably linked to adverse cardiovascular outcomes. The relationship between excess adiposity and increased blood pressure is well established, and it is estimated that obesity accounts for 65-78% of cases of primary hypertension. The mechanisms through which obesity causes hypertension are complex and include sympathetic nervous system overactivation, stimulation of the renin-angiotensin-aldosterone system, alterations in adipose- derived cytokines, insulin resistance, and structural and functional renal changes. Weight loss is the primary goal of treatment for obesity-related hypertension, although few individuals achieve success with nonpharmacological management alone. Specific considerations apply when selecting the most appropriate pharmacological therapy for obese hypertensive patients. Metabolic surgery has proved to be the most effective means of ensuring substantial and sustained weight loss and has also been shown to confer beneficial effects in type 2 diabetes mellitus. Increasing evidence suggests that metabolic surgery may also be an effective treatment for obesity-related hypertension, although prospective data on long-term blood pressure outcomes are awaited. This review will discuss the pathophysiological mechanisms that link obesity with hypertension and will provide an overview of treatment strategies, with a focus on metabolic surgery. Keywords: Obesity; hypertension; bariatric surgery; metabolic surgery

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Obesity; hypertension; bariatric surgery; metabolic surgery

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-- The Advanced Intelligent Tourist Guide System is a cutting-edge application developed using Dotnet, designed to enhance the travel experience for tourists by leveraging intelligent technologies. Traditional tourist guide systems often lack personalization and real-time adaptability to the user's preferences and changing circumstances. This project addresses these limitations by integrating SQL with intelligent algorithms to create a dynamic and responsive platform

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Dotnet,SQL,Geo location Api

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Crimes against Muslims, characterized by discrimination, violence, and systemic oppression, are a serious concern in many parts of the world. These crimes range from hate speech and social discrimination to violent attacks and genocide. This paper examines the nature, causes, and consequences of crimes against Muslims in India and globally, highlighting key incidents, patterns, and the responses from governments and international organizations. The paper aims to provide a comprehensive understanding of the issue, emphasizing the urgent need for effective measures to address and prevent such crimes.

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LAW OF SEDITION IN INDIA: WITH SPECIAL REFERENCE TO ROLE PLAYED BY SUPREME COURT OF INDIA"

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This paper presents a comprehensive exploration of a highly advanced remote switch control system powered by LoRa (Long Range) technology, boasting an impressive operational range of up to 5 kilometers. The system architecture is meticulously engineered, featuring a constellation of cutting-edge hardware components meticulously integrated to optimize performance and reliability. Central to its design is the transmitter unit, equipped with four tactile push buttons, facilitating seamless user interaction for remote switch activation. Intricate firmware logic and communication protocols govern the transmitter's operation, ensuring robust signal transmission and data integrity preservation. Leveraging state-of-the-art LoRa transceiver modules and highfidelity microcontrollers, the system orchestrates precise command dissemination to the receiver unit, thus enabling unparalleled control over relay switches across vast distances. A focal point of this advanced remote switch control system is its receiver unit, which serves as the nexus for decoding incoming signals and executing precise switch actuation sequences. Delving into the intricacies of firmware implementation, this paper elucidates the receiver's role in processing command data with utmost accuracy and efficiency. Real-time feedback mechanisms, facilitated by an integrated OLED display unit, empower users with instantaneous insights into the operational status of the switches. As a testament to its adaptability and foresight, this project anticipates future research trajectories aimed at enhancing network scalability, refining signal modulation strategies, and integrating with emerging IoT paradigms. By embracing a forward-thinking approach, this advanced LoRa-enabled remote switch control system heralds a new era of connectivity and automation, with transformative implications spanning smart homes, industrial automation, and smart city infrastructure

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LoRaWAN, Wireless communication, NodeMCU, User-friendly

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Background: Ashwagandha, also known as WithaniaSomnifera, is a popular herb in Ayurveda, an ancient Indian medicine. It has been used for centuries to treat many ailments and is considered an adaptogen, meaning it helps the body to manage stress. In recent years, ashwagandha has gained attention in the western world for its health benefits. Its extracts are now available in many forms, including capsules, powders, teas, and tinctures. In this review article, we will take a closer look at ashwagandha's properties, benefits, safety and the latest scientific results. We will also discuss its traditional uses and how you can incorporate it into your daily life. If you are interested in using ashwagandha for stress management, immunity, energy, or other benefits, this review article will provide a complete overview of ashwagandha and its ability to improve health and well-being. Objective: This review article aims to provide complete summary of Ashwagandha Herbal plant. Provide an introduction to ashwagandha and its historical uses, also benefits of ashwagandha, such as reducing stress and anxiety and enhancing physical performance.

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Ashwagandha, Withaniasomnifera, Withanin

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MDF attracted great attention in the pharmaceutical and healthcare industries due to their potential as a patient-friendly dosage form. These thin, flexible The film is designed to dissolve rapidly upon contact with saliva, offering convenient administration, improved patient compliance, and enhanced bioavailability. This review provides an overview of the formulation strategies employed in the development of MDFs, including choice of polymers, plasticizers, and taste-masking agents. Evaluation parameters such as disintegration time, mechanical properties, drug release kinetics, and stability are discussed in detail, highlighting the importance of optimizing these parameters to achieve desired product performance. Additionally, the diverse applications of MDFs across various therapeutic area, including analgesics, antiemetic, antihistamines, and vitamins, explored. Future perspectives on the advancement of MDF technology, including novel formulation approaches and emerging applications, are also presented. Overall, mouth dissolving films represent a promising dosage form with the potential to revolutionize drug delivery and improve patient outcomes.1 Mouth dissolving films (MDFs) have emerged as a novel drug delivery system offering numerous advantages over traditional dosage forms. This article provides details of mouth dissolving films, their composition, manufacturing methods, and applications in the pharmaceutical and nutraceutical industries. Additionally, it discusses the formulation considerations, advantages, challenges, and future prospects of MDFs.

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Amla, Ginger, Coriander Seeds, Mint, Lemon

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E-Democracy is a blend of the terms electronic and democracy also known as Digital or Internet democracy which bolsters political self-determination as it facilitates unceasing engagement with the target voters. India had witnessed a biggest challenge in the political sphere with the unprecedented transition from conventional mode to internet trend. Social Media Analytics in the political context contributes deeper insight about the emotional state of voters based on every mention and conversation made by the general election competitors. This paper analyzes the Indian Election System with social networking sites such as Instagram,Facebook and Twitter. Techniques of social media analytics like Sentiment Analysis, Machine Learning, influencer analysis approaches which are often cited in the research literature are discussed to measure the polarity of sentiments. The paper concludes with future potential research directions.

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Sentiment Analysis,Political Communication,Political Campaigning,Political Marketing,Trend Analysis,Voter Behavior Analysis, Influencer Identification

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Medicines and vaccines have transform the prevention and treatment of disease. In addition of the benefits, medicinal product may also have side effects, some of which may be undesirable or unexpected. Pharmacovigilance is the science and activity relating to the detection, assessment, understanding and prevention of adverse effect of any medicine/vaccine related problem. All medicines and vaccines undergo rigors testing for safety and efficacy through clinical trials before they are authorized for use. However, the clinical trial process involves studying these products in a relatively small number of selected individuals for a short period of time. Pharmacovigilance is defined as "the science and activities relating to the detection, assessment, understanding, and prevention of adverse effects or any other possible drug-related problems." The objective is to extend safety monitoring and detect ADRs that have previously been unrecognized despite evaluation in clinical trials. Although these methods were developed for monitoring of pharmaceutical medicines, they are also used for additional evaluation of safety of other medicinal products, including herbals, blood products, vaccines, and even medical devices.Some of the challenges and future opportunities in this field are briefly discussed below.

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Pharmacovigilance, Adverse effect, Artificial intelligence, Post-surveillance marketing, Emergency Healthcare.

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Sanjeevini System represents a pioneering approach to drug operation, exercising machine literacy to streamline processes and ameliorate patient issues. By integrating advanced algorithms similar as natural language processing, pattern recognition, and prophetic modeling, Vaidyah assists healthcare professionals, cases, and watch givers in making informed opinions regarding drug operation. This innovative system aims to enhance patient safety, drug adherence, and healthcare provider effectiveness. Sanjeevini application of machine literacy ways enables it to effectively manage drug- related tasks, including decision-timber, dataset analysis, and vaticination systems. By using these capabilities, Sanjeevini demonstrates its implicit to revise drug operation in healthcare settings. One of the crucial features of Sanjeevini is its flawless integration into being healthcare systems, furnishing a stoner-friendly interface for healthcare professionals to pierce patient biographies and applicable medical information. This integration ensures that can fluently acclimatize to different healthcare surroundings, easing its wide relinquishment. also, Sanjeevini's capability to incorporate traditional Ayurveda drugs underscores its comprehensive approach to drug operation. By encompassing both conventional and indispensable curatives, Sanjeevini aims to feed to a different range of case requirements, further enhancing its effectiveness and applicability in clinical practice. In summary, Sanjeevini represents a scalable and adaptable result that has the implicit to transfigure healthcare delivery worldwide. By employing the power of machine literacy, Sanjeevini enhances patient safety, improves drug adherence, and empowers healthcare professionals to deliver high-quality care. As the field of machine literacy continues to evolve, Vaidyah paves the way for the future of drug systems, offering a promising path towards more effective and individualized healthcare results.

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 Keywords

Sanjeevini System, Machine Learning, Drug Management, Patient Safety, Healthcare Integration Predictive Modelling, Natural Language Processing, Pattern Recognition, Drug Adherence, Traditional Ayurveda.

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In recent years, humanity has witnessed several significant catastrophic disasters, including pandemics, wars, and earthquakes, in which millions of people required both emotional and mental support. Chatbots have been made use of for the past decade or so to improve delivery of mental health care services. Patients' perceptions and views impact the widespread use of chatbots in healthcare. Several studies have been carried out to evaluate patients' views and experiences on mental health chatbots. Our project focuses on finding a solution to this issue by building a chatbot which provides mental health-based support. The chatbot understands and responds to people's emotions through Natural Language Processing (NLP) and Long Short Term Memory (LSTM). It offers helpful advice for managing common mental health issues like stress and anxiety. It will also cover the benefits as well as the limitations of using chatbot for therapy as well as some suggestions as to how it can be enhanced in the future.

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Chatbot, Mental health support, Natural Language Processing (NLP), Long Short Term Memory (LSTM), AI therapist

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This study aims to investigate the interplay between mindfulness, mental well-being, and perceived stress among working adults. Using a sample of 150 adults aged 25-50, data is collected through both offline and online questionnaires, employing simple random sampling. Hypotheses predict a significant relationship between mindfulness and mental well-being (H1), an insignificant relationship between mindfulness and perceived stress (H2), and a significant relationship between mental well-being and perceived stress (H3). Analysis includes correlation design. The findings are anticipated to offer insights into workplace mental health and inform potential interventions.

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 Keywords

Mindfulness, Perceived Stress, Mental Well-being, Working Adults, Quantitative Analysis

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