Volume 12 | Issue 5 |

 Abstract

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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 Keywords

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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