Volume 12 | Issue 5

 Abstract

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This qualitative study explores the potential connection between rising loneliness among youth and the evolving nature of contemporary romantic relationships. Social and technological shifts have reshaped how young people connect and form partnerships. The research investigates how these feelings of loneliness and belonging trends have influenced relationships such as delayed marriage, increased casual dating through apps, and emphasis on self-discovery. Through in-depth interviews or focus groups, the study aims to capture the lived experiences of young people, examining how their perceptions of romantic relationships impact their sense of connection and social fulfillment. The findings contributed to a deeper understanding of the complex factors influencing youth loneliness and offer insights into potential areas of support and intervention.

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loneliness, relationships

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The main objective of the research is the formulation and evaluation of Polyherbal toothpaste.. Toothpaste is usually used to clean tooth enamel and mouth It is also used to solve many enamel problems. Many dentists recommend applying toothpaste to treat diseases such as sensitivity, chronic gingivitis, etc. Herbs like Gokhru, Neem ,Tulsi ,Amla,Turmeric . These herbal toothpastes are evaluated by various tests such as physical examination, pH determination, Homogeneity, Abrasiveness,Spreading,foaming ,stability study,,Anti-microbial activity etc. The aim of this study is to formulate herbal toothpaste that is good for oral hygiene and bleeding gums. Oral hygiene means prevention of oral infections and gum diseases. . formulation and evaluation of Polyherbal toothpaste aimed at assessing its efficacy and safety. The research involved formulating a Polyherbal toothpaste using a blend of herbal Drug for their dental health benefits. Evaluation methods included testing for antimicrobial activity, abrasiveness, Organoleptic, Spreading,foaming.Results indicated antimicrobial, anti-Bacterial &Anti-inflamatory properties.

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Gingivitis ,Anti bacterial ,Sensitivity ,Anti microbial, herbal Treatments, Toothache and Gums, Polyherbal toothpaste,

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Food waste is rising at a never-before-seen rate, which is having a detrimental effect on the elements that drive economic expansion. Individuals waste a lot of food every day. Online apps are what we need to stop food waste. A hotel or individual must fill out the application with their address and the quantity of food they have wasted. Subsequently, the administrator will oversee the food donor and orphanage data. If the donor is wasting food, they can register, log in, and submit requests to the administrator at any time. Once the administrator has reviewed the contribution request and message, the buyer's information (old age home, orphanage, etc.) is also kept on file. Using a local agent, the administrator gathers food gifts from contributors and delivers them to the nearest orphanages or nursing facilities. As soon as the agent delivers the food, the administrator notifies the donor via alert message.

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Food donator, Food wastage problems, collecting foods

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The increasing reliance on technology-driven assessment tools has prompted the development of innovative solutions to address the challenges associated with interview preparation. In this paper, we present "IntervAI," an AI-based web application designed to revolutionize interview preparation by offering dynamic question generation, real-time answer evaluation, and proctoring capabilities. Leveraging state-of-the-art Natural Language Processing (NLP) techniques and deep learning models, "IntervAI" empowers candidates to enhance their interview skills through personalized practice sessions. The platform's interactive voice interface and 3D avatar engagement provide a unique and immersive learning experience, while its robust proctoring system ensures assessment integrity. Through empirical evaluation and user feedback, we demonstrate the effectiveness and usability of "IntervAI" in improving interview readiness and facilitating fair and objective assessments. "IntervAI" represents a significant step towards enhancing interview preparation processes and holds promise for transforming the landscape of talent acquisition and assessment practices.

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Interview Preparation, AI-Based Learning , Speech Recognition, Communication Skills, Career Development ,Interviewing Skills. Skill Enhancement, Natural Language Processing, Progress Monitoring.

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Human hair is very important to our personalities, and we use a lot of cosmetics to take care of it. There are some synthetic medications for hair loss that display serious adverse effects in addition to not providing a lasting cure. Compared to synthetic formulations, herbal formulations always have action and have fewer or no negative effects. The purpose of this study was to evaluate the value of polyhedral hair oil in treating common hair issues such alopecia, baldness, hair loss, gray hair, dryness, and most types of dandruff. The composition contains a variety of natural substances, including coconut oil, camphor, curry leaves, almond, garlic, mehendi powder, neem, and castor oil. For the sebaceous glands to continue functioning normally, all substances give vital elements such vitamins, antioxidants, proteins, trapezoids, and numerous essential oils. The created oil was assessed based on a number of criteria, including skin irritation test, pH, viscosity, acidity, saponification, and refractive index. It was discovered that every parameter matched criteria and was in good condition and the findings were determined and presented in this work. The values obtained from it are found to be close to the standard values, such as there being no grittiness or sedimentation and showing satisfactory organoleptic qualities.

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Herbal hair oil , herbs, formulation , evaluation , result and discussion.

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Amla oil, derived from the Indian gooseberry, is well- known for its many benefits. Packed with vitamin C, antioxidants, and fatty acids, it helps improve the health of both hair and skin. This botanical powerhouse has a wide range of medicinal properties, including anti-inflammatory, anti-diabetic, and is anti-cancer effects. Traditional uses, phytochemical compositions, and recent scientific research all point to the health benefits of amla, showing its potential to enhance well-being and prevent various ailments. Amla holds a special place in indigenous medicine systems like Ayurveda, where it is used for both medicinal and nutritional purposes to restore vitality and vigor. The extracts from different parts of the Embelica Officinalis plant, especially the fruit, contain a wide range of beneficial compounds such as gallic acid, ellagic acid, tannins, minerals, vitamins, amino acids, fixed oils, and flavonoids like rutin and quercetin. These extracts have shown effectiveness against various ailments, including inflammation, cancer, osteoporosis, neurological disorders, hypertension, parasitic infections, and other infectious diseases.

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Keywords: Amla oil, Botanical powerhouse, Embelica officinalis, Indian gooseberry

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The management of municipal solid waste has always been a problem for both developed and developing countries. The proper management of waste resources can improve resource efficiency as well as develop a suitable substitute for fossil fuels. A number of management options are available, but biogas recovery using anaerobic digestion is often recommended as an attractive option. Biogas production potential varies from source to source. In our institute we have twenty eight hostels and all having their own individual mess, where daily a large amount of kitchen waste is obtained which can be utilized for biogas production. The amount of waste is being classified into organic and inorganic. The anaerobic digestion of kitchen waste produces biogas, a valuable energy resource. Anaerobic digestion is a microbial process for production of biogas which is primarily of consist methane (CH4) & carbon dioxide (CO2).The main objective of this study is to identify the power generation capability of the process and assessing to investigate its scope to become a competitive renewable energy source. Moreover, the biogas application toward Solid Oxide Fuel cell and its efficacy on power generation capability are investigated. Results observed to be motivates and makes it promising toward new sustainable energy future for greater energy demands.

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biogas production, kitchen waste, fossil fuels, sustainable energy

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E-commerce has experienced a tremendous surge during the last several years. everything, including flats and books available online these days. The term "e-commerce" has no accepted definition because as such, it is claimed to be used to refer to a method of conducting business through different from traditional physical means, electronic means. Due to the fact that e-commerce conflicts are unavoidable when there are three or more participants to a single transaction. the lifecycle of such a business, whether it is online or offline. The commercial conflicts that in e-commerce, the business may be contractual, such as B2B and B2C, or noncontractual, such as copyright disputes, defamation Therefore, it is important to remember that many of the difficulties include jurisdictional questions, legal system questions, and the high expense of cross-jurisdictional the various types of disputes might give rise to litigation issues. the conventional the court to determine whether it has the territorial, financial, or subject the authority to hear the case that was presented to it. Nevertheless, with the internet, the query of the complexity of "territorial" jurisdiction is largely due to its lack of borders. Identifying such a This study sheds light on a variety of theories, beliefs, and principles that are a complex issue. The study also examines how the issue is governed by private international law rules. The report also discusses The IT Act 2000's efforts to update antiquated regulations and offers strategies for combating cybercrimes.

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Keywords: E- Commerce, Jurisdiction.

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To protect human rights, "International Dimensions of Human Rights" were decided at the international level only with the hope that all types of discrimination can be eliminated; inequality on the basis of gender can be eliminated, but women's representation in all fields from all over the world. The data has proved that gender discrimination is at its peak all over the world, from which our country is also not untouched, although it is pleasant that many organizations have been created at the national and international level to eradicate this discrimination. The presented study focuses on the causes of gender stereotypes and the efforts made to stop this discrimination at the international level.

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gender stereotypes, dimensions, representation, and struggling, conscientious, efficiency.

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Robotic process automation (RPA) is the use of software with artificial intelligence (AI) and machine learning capabilities to handle high-volume, repeatable tasks that previously required only humans to perform. In short, there is at least a problem with traditional Business Process Management (BPM) systems, as they cannot suggest the best combination of tasks, people and timings, which can increase the benefits of running them, while reducing the costs and risk factors. Yet, it is an irrefutable fact that the current business environment is highly dynamic. On the one hand, we need to be more efficient to execute what is operational and obvious, releasing scarce resources for more critical areas. Then, dealing with business process management and automation, a common claimed benefit is associated with the improvement of performance

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siness Process (BP); Business Process Management (BPM); Business Process Automatiom (BPA); Robotic Process Automatiom (RPA); Artificial Intelligence (AI).

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Shampoo now symbolizes not just a means of cleaning but also of shining, easing, and messing with texture and oiliness for hair. There is a huge variety of shampoos, e.g. powder shampoo, clear liquid shampoo and liquid shampoo, lotion shampoo, solid gel shampoo, medicated shampoo and liquid herbal shampoo among the rest. While discussing the criteria of stability, there we did not mention herbal shampoos. Whether their composition is vitally simple or elaborate they can be regarded as a daily use shampoo, a medical antiseptic or a remedy for dandruff. People today are more interested in the products they use to take care of their hair, like shampoos, and other hair care preparations. Shampoos are the solutions that we use for cleaning the hair before it gets dirty and greasy. Shampoos are good for cleaning dirt and surface grease from the scalp. The amount of natural or herbal shampoo is fewer than the synthetic shampoo removed, however, the synthetic shampoo can lead to problems such as hair drying and keratin loss, which can be harmful to the scalp or hair. It is now routinely that the people are conscious about the morbid effects of each constituent item utilized during the production of shampoo and cosmetics.

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Herbal shampoo, Powder Shampoo, Evaluation, Material & Methods.

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This paper describes design of solar powered charging station for charging of electric vehicle that solves the key downside of fuel and pollution. While EV charging has traditionally been grid-based. use of solar powered chargers has emerged as an interesting opportunity. As worlds resources are diminishing, government agencies and non-government organization are pushing greener solution through the use of renewable energy sources. In order to reduce the pollution through the motor vehicles, there is a large scope of increase in electric vehicles all over the world To run the electric vehicle the fuel required is the electricity which can be storable through the use of solar energy. Electric vehicles that run on the Electric vehicle smart charging station which is the promising alternative and environmentally sustainable solution to meet up the energy crisis. This paper investigates the possibility of charging the battery of electric vehicles at a various working place like offices, colleges, hospitals. universities etc. in India using solar energy. In this paper the charging station successfully developed as desired features for electric vehicle from renewable energy resources with solar panel, solar charge controller, batteries storage and DC-DC converter. A laboratory-scale experimental prototype was also developed, and the performance of the proposed charging station was investigated.

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Major project

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Abstract- Vedas, literally meaning knowledge, originated in India consists of Rigveda, Samaveda, Yajurveda and Atharvaveda are the true teachers of the Human being. The Rigveda contains countless secrets and clarifications about the origin of the Universe, the importance of the Gods and a lot of advice that enlightens the Universe for living a satisfying and successful life with Non- violence. The Samaveda is the Veda of chants, the powerhouse of knowledge of chants, the foundation stone of Indian classical music and dance; consists of hymns of ritual applications, worship and devotion to Gods. The Yajurveda in its chapter- 32 explains- God is only one and he is the Supreme and the Supreme Spirit has no 'Pratima' i.e. no physical body or no human faced idol or material shaped body and also explains anyone can see him directly as he pervades all beings in all forms and all directions of the visible and also in invisible range; so Vedas completely ban idol worship, contains instructions for religious rituals. The Atharvaveda the encyclopedia of medicine consists of spells against enemies, sorcerers, and diseases; the Ayurveda, the Science of Life is a supplement of Atharvaveda fights against the diseases is a blessing to the mankind.1,3,8

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Keywords- Veda, Rigveda, Samaveda, Yajurveda, Atharvaveda, Vedic Period, Science, Scientists, Invention, Discovery, Universe.

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This paper emphasis on designing a system which can spontaneously dispense the fuel and deduct the amount from prepaid RFID card. Here, all users will have their own RFID cards which are recharged by prepaid amounts. The dispenser in the fuel station is installed with RFID reader which reads the RFID card and displays the available balance on LCD display unit. The user will enter the desired amount of fuel using the keypad, the system will calculate the time of operation for the electrical fuel pump and initiates the operation of fuel dispensing. The system will automatically shuts down the pump after reaching the user's desired value. It is combined with raspberry pi module which sends notification to the user through mobile application. Added to that, this system has fire sensor to detect fire accidents and purity sensor to check the purity of the fuel. Hence this work will make the petrol bunk management system with no boundaries and reduced manpower. ALPR, also known as Automatic Number Plate Recognition (ANPR), is a technology that enables automated identification and extraction of license plate information from images or video streams. The system uses computer vision techniques, neural networks, and pattern recognition algorithms to detect license plates, extract alphanumeric characters, and associate them with vehicle records.

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Raspberry Pi , Relays , LCD display ,Keypad , Fire sensor , Power Supply , RFID reader, Optical character recognition , OpenCV.

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Advancements in medical imaging and machine learning technologies have synergistically catalyzed breakthroughs in the field of healthcare, particularly in the early diagnosis of complex diseases such as brain tumors. This research paper presents a comprehensive investigation into the development of a robust and efficient brain tumor detection system employing state-of-the-art machine learning techniques. The proposed methodology integrates a diverse set of magnetic resonance imaging (MRI) scans, to capture a holistic representation of the brain's structural and functional aspects. A curated dataset, comprising a spectrum of brain tumor cases and healthy brain images, is utilized for training and evaluating the machine learning algorithms. Our research delves into the application of deep learning architectures, such as convolutional neural networks (CNNs) built using PyTorch, to automatically extract intricate patterns and features from the medical images. We use publicly available Kaggle dataset that has 3000 samples, which are divided into two classes tumor and non tumor. This dataset is split into 2400 images for training and 600 images for validation This allows for the creation of a highly discriminative model capable of accurately distinguishing between tumor and non-tumor regions. Our experimental results indicate that our models achieve up to 95.3 classification accuracy for our employed datasets, respectively.

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brain tumor classification; deep learning; convolutional neural network; multiscale processing; data augmentation; MRI

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Lalitagiri, Ratnagiri and Udayagiri are unitedly known as the famous Diamond triangle associated with Buddhist Culture situated in Cuttack and Jajapur of Odisha are the glowing and lively evidence of presence God Buddha and Buddhists in the caves of these hills is definitely a matter of proudness for every Indian. The Lalitagiri is 11 kms from Ratnagiri and 6 kms from Udayagiri whereas the distance separating Ratnagiri and Udayagiri is 6 kms i.e. Udayagiri is 6 kms equidistant from Lalitagiri and Ratnagiri. The visit of Chinese Traveller Hiuen Tsang to this Buddhism site the Diamond Triangle of Lalitagiri-Ratnagiri-Udayagiri and his writings on this Diamond Triangle reinforces the glorious chapter of Buddhism in Odisha. Odisha born famous Sanskrut poet Shree Jayadev described God Buddha as one of the incarnations of God Vishnu in his book Geeta Govindam written in the language of Sanskrut.

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Lalitagiri, Ratnagiri, Udayagiri, Diamond Triangle, Buddha, Buddhist, Buddhism.

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The quickly evolving field of quantum computing has the potential to completely transform a wide range of sectors, including cybersecurity. However, because it might violate current encryption standards, it also poses a serious risk to data security. To mitigate these concerns, researchers are actively working on building quantum machine learning and quantum-resistant cryptography. Additionally, power systems, cybersecurity education, and grid security can all be improved with quantum computing. In order to shape cybersecurity and digital forensics in the future and get ready for the quantum age, a comprehensive plan encompassing regulations and technology is essential.

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Quantum Computing, Cybersecurity, Encryption, Quantum-Resistant Cryptography, Internet of Things (IoT) Security, Quantum Machine Learning (QML)

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The agricultural industry is undergoing a transformative shift, recognizing the indispensable role of Geographic Information Systems (GIS) in optimizing farming operations. The demand for accurate GIS data and tools has escalated, driven by the imperative to enhance resource management, ensure sustainability, and elevate overall data quality. However, the absence of a cost-effective, integrated GIS solution tailored to agricultural needs remains a significant challenge. This paper delves into the prevailing issues stemming from the lack of GIS systems in agriculture and proposes GIS 360 as a comprehensive solution to empower farmers with real-time insights and streamlined data management.

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Information systems, Database, cloud computing, security

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Chronic kidney disease (CKD) is a medical condition that can go unnoticed, until stages because it doesn't always show obvious symptoms. Detecting and diagnosing CKD early is essential for treatment. While past studies have mainly concentrated on spotting CKD in its phase this research takes it a step further by not identifying CKD but also predicting its specific stages. By seeing at multi classification and binary for early step prediction the research offers a insight into how CKD progresses, allowing for personalized treatments and interventions. Additionally using prediction models like Random Forest (RF), K-Nearest Neighbor (KNN), and Decision Tree (DT) adds complexity to the analysis helping researchers compare how different machine learning techniques can predict CKD stages. This comparative analysis improves accuracy and efficiency by focusing on the features in the models. In summary this study makes a contribution, to healthcare by using machine learning methods to enhance early detection and care for CKD. By foreseeing phases of the illness medical professionals can step in efficiently lessening health issues, for patients and ultimately decreasing sickness and death from CKD in line, with the United Nations goal of advancing overall health and well being.

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Chronic Kidney Disease , Diagnosis , prediction models

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