Volume 11 | Issue 5 |

 Abstract

Tulsi (Ocimum sanctum L.), holly basil, is indigenous to the Indian mainland and profoundly respected for its restorative uses interior the Ayurvedic and Siddha clinical frameworks. Numerous in vitro, creature and human investigations endure witness to tulsi having distinctive restorative activities along with adaptogenic, antimicrobial, calming, cardioprotective, and immunomodulatory impacts, yet to date there are no precise surveys of human lookup on tulsi's medical adequacy and security. We directed a complete writing audit of human examinations that gave an account of a medical end result after ingestion of tulsi. We scanned for examines distributed in books, theories, assembly procedures, and digital databases such as Cochrane Library, Google Scholar, Embase, Medline, PubMed, Science Direct, and Indian Medical databases. An combination of 24 examinations have been wonderful that introduced restorative consequences for metabolic disarranges, cardiovascular malady, resistance, and neurocognition. All investigations unique perfect scientific effects without any examinations revealing any noteworthy opposed occasions. The explored examinations enhance everyday uses and suggest tulsi is a manageable treatment for way of lifestyles associated consistent maladies inclusive of diabetes, metabolic condition, and mental pressure. Further examinations are required to inspect instruments of activity, give an explanation for the dose and portion structure, and determine the populaces nicely on the way to earnings via tulsi's beneficial impacts.

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 Keywords

Antioxidant, Anti inflammatory, Anti bacterial, Cough and Cold, Tulsi Plant.

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 Abstract

The importance of plants cannot be overstated since they play critical roles in sustaining life on earth while also providing numerous benefits to human beings. Understanding different plant species is crucial not only from a research standpoint but also from an environmental perspective as well as preserving biodiversity; however traditional methods based on keys are cumbersome and frustrating because it uses technical botanical terminology making it difficult even for experts in some cases let alone novices. Fortunately, today's ubiquitous digital technologies like high resolution mobile cameras and enhanced remote access to databases offer solutions to this problem. With the assistance of advanced image processing techniques and pattern recognition algorithms like neural networks automated plant identification is now a reality. The realm of machine learning dominates computer science research presently and its scope is broadening daily. Among the multiple fields within this domain convolutional neural networks stand out as particularly popular and well suited for tasks such as image classification - like the one employed in this project.

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 Keywords

CNN,Watershed algorithm,image processing

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 Abstract

Technology Security is a crucial component of the field of information to prevent forgery and guarantee data security. Authentication is crucial component of security management. A person's signature serves as a physical representation of who he is. A customer's signature on a document represents an instruction from him to the Bank to carry out an authorized transaction on his behalf. In the area of information technology security, preventing forgery and ensuring information confidentiality are integral parts of it. Authentication is a crucial component of security management. In essence, this project involves applying a certain type of machine learning algorithm on photographs of customer signature that banks have.

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 Keywords

verifying face and signature

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 Abstract

Currency is an unavoidable part of our day-today life. Despite the rapidly expanding utilization of master cards and additional electronic payment categories, money is considerably utilized for everyday exchanges because of its comfort. The current day monetary self-service gives birth to currency recognition, which plays a vital role in the automated banking procedure. Therefore we propose a novel method for currency recognition that identifies Indian currency in different views on the scale. It is straightforward for a typical human being to comprehend and recognize any banknote easily, but it is undoubtedly troublesome for anyone with a visually impaired or blind individual to accomplish a similar task. Banknotes commonly have unique designs according to the denomination and can be sorted with surplus human errors in the bank. These errors lead to difficulties in evaluating and recognition. If computers or mobile apps recognize currency, it will immensely boost the precision of recognition and ameliorate people's workload efficiently. As money has a significant role in daily life for any business transactions, real-time detection and recognition of banknotes become necessary for a person, especially blind or visually impaired, or for a system that sorts the data. The model which we worked on essentially classifies the currency note into distinct denominations like Rs10, Rs50, Rs100, Rs500, Rs2000. The currency will be recognized and classified by using image processing techniques, deep learning techniques. We have implemented transfer learning theory, a deep learning domain where we will reuse the weights in one or more layers from an already trained model into a new model by either maintaining the weights fixed, fine-tuning them, or adapting the weights completely when training the model. We aim to enhance techniques that have been missing in most contemporary works that have been done so far. Therefore our proposed currency recognition system can be efficiently run on the web application/mobile app, where a user would upload an image of the currency note, and it will deliver an audio output and a text output.

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currency

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 Abstract

Th paper suggests the basic knowledge about Aadhaar,the unique identification number. The benefits of biometrics, its different features and the enrolment process is being described. Aadhaar enrolment process in Kerala is also discussed

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 Keywords

Aadhaar, Unique identification, Biometrics, Digital India,e-governance

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The Crime Identification & Reporting Application is a powerful software tool that enables the detection and reporting of criminal activities. Its advanced algorithms and data analysis techniques identify anomalies (illegal and dangerous weapons) in live feed.The application also provides real-time alerts on identification of the anomalies. Proposed BLUME approach runs on the live feed of the surveillance cameras that are connected to it and then it reads the data in real-time. While doing so it uses a single shot detection technique to identify the anomalies in the live feed and report it back to the user.

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 Keywords

Clustering, Classification, Crime, Data Preprocessing, CNN.

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Through the application of Robotic Process Automation (RPA) organizations aim to increase their operational efficiency. In RPA, robots, or 'bots' for short, represent software agents capable of interacting with software systems by mimicking user actions, thus alleviating the workload of the human workforce. RPA has already seen significant uptake in practice; solution technologies are offered by multiple vendors. Contrasting with this early practical adoption is the hitherto relative lack of attention to RPA in the academic literature. Consequently, RPA lacks the sound theoretical foundations that allow for objective reasoning around its application and development. This, in turn, hinders initiatives for achieving meaningful advances in the field. This paper presents a structured literature review that identifies a few contemporary, RPA related themes and challenges for future research.

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Robotic Process Automation, Bot technology, software Bot, tools.

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 Abstract

The study aims to investigate the consumer preferences towards home automation systems in a comparative manner. The study addresses the challenges of understanding the complex and dynamic nature of consumer preferences by utilizing both qualitative and quantitative data analysis techniques. The study also examines the role of demographic factors such as age, income, and education in shaping consumer preferences. The results reveal that consumers prioritize ease of use, energy efficiency, security, and compatibility with other devices in their preferences towards home automation systems. The study also finds significant differences in consumer preferences across different geographical regions, with some regions placing greater emphasis on environmental sustainability, while others prioritize cost-effectiveness. The study provides insights into the factors that drive consumer preferences towards home automation systems and can assist marketers and product developers in the industry in tailoring their products to meet the diverse needs of consumers.

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Home automation, consumer preference, demographic factors

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 Abstract

A Nanoemul gel is a topical gel that contains a nanoemulsion dispersed within a gel matrix. The nanoemulsion is typically prepared using high shear mixing techniques and contains droplets of an oil[8] phase dispersed in an aqueous phase stabilized by surfactants or stabilizers. The resulting Nanoemul gel has several advantages over traditional emulsion-based gels, including improved stability, enhanced drug penetration, and increased bioavailability. Nanoemul gels have been studied for their potential in dermatology and drug delivery applications, showing promising results in reducing acne lesions and improving skin appearance, as well as enhancing drug delivery and reducing inflammation. Further research is needed to optimize the formulation and assess the safety and effectiveness of Nanoemul gels for different applications. Nanoemulgel consist two different systems in which drug containing nanoemulsion[9] is incorporated into a gel base. The fusion of these two systems makes this formulation advantageous in several ways. Lipophilic drugs can be easily incorporated and the skin permeability of the incorporated drugs can be enhanced in several folds due to the finely distributed oil droplets in gel phase. Simultaneously, it can be targeted more specifically to the site of action and can avoid first pass metabolism and relieve the user from gastric/systemic incompatibilities. The nanoemulgel drug [13]delivery system is a formulation related intervention to improve drug absorption and therapeutic profile of lipophilic drugs. An increasing trend in nanoemulgel use in recent years has been noticed because of the better acceptability of the preparation to the patients due to their non-greasy, convenience spreadability, and easy applicability and good therapeutic and safety profile. Despite having few limitations, nanoemulgel formulation can be considered as potential and promising candidates for topical[32] delivery of lipophilic drugs in the future.

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 Keywords

Nanoemulgel; Topical Formulation; Drug Delivery through skin[28].

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bhartiya sahityame darshan ev jan manas per prabhav

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Bhartiya sahityame darshan ev jan manas per prabhav

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