Volume 12 | Issue 5

 Abstract

This study explores the onboarding process at Maveric Systems Limited, assessing its effectiveness, reliability, and the overall impact on new hires' integration into the company culture. Utilizing a Descriptive Research design and Convenience sampling, the research involved a survey of 280 employees who recently completed the onboarding process. The quantitative analysis applied non-parametric tests due to the non-normal distribution of data, focusing on areas like Work Environment Balance, Onboarding Process Reliability, Post-Onboarding Support, and Information Adequacy. Results revealed demographic differences in satisfaction levels, with actionable recommendations for enhancing the onboarding process tailored to diverse employee needs.

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 Keywords

Onboarding process, HR, HR research, Employee perception

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 Abstract

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 Keywords

rp-hplc, canagliflozin, api, pharmaceutical formulation, ICH

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Water is a ubiquitous solvent used by nearly all living things to complete their biological activities. Algae, which are frequently seen in lakes, are among the many microorganisms that may thrive on the nutrients contained in fresh water. Nitrates and phosphorus are the two main types of nutrients that algae need. The foundation of the food chain in the aquatic ecosystem is algae. They contribute significantly to water contamination in a variety of other ways as well. The nutrients that algae need to develop may be selectively stimulated by pollution, which can lead to an algal bloom and a subsequent decline in water quality. Very few workers in Bihar have given limnological aspects any thought. In the current inquiry, Kawar Lake in the Begusarai area was chosen to conduct a limnological examination of algae. Samples of water and algae were taken from three locations in S. Kawar Lake every month. The goal of the current study was to determine how the physico-chemical characteristics of Kawar Lake in the Begusarai region of Bihar relate to the algal populations there.

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 Keywords

Microbiology, Physico-chemical parameters, Algae, Kawar lake.

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The creation and application of a cutting-edge, specially made jacket with advanced health monitoring technology for people who are blind or visually impaired. Utilizing wearable sensors and IoT (Internet of Things) capabilities, the "Blind Man Jacket" offers real-time health monitoring to guarantee the user's safety and wellbeing. The system has sensors to monitor vital indicators, which are essential for early detection of possible health problems. These signs include blood pressure, body temperature, and heart rate. The jacket also has environmental sensors and GPS to help with navigation and warn the wearer of any hazards and barriers in their immediate area. In the event of an emergency, information gathered from the sensors is sent to a mobile application that is connected and can alert caretakers or medical personnel. The technical architecture, sensor integration, data processing techniques, and user interface design are all covered in detail in this article. We also go over the possible advantages and difficulties of implementing such a system, as well as upcoming developments and scalability issues. Through clever wearable technology, The Blind Man Jacket seeks to improve the health security and independence of those who are blind or visually impaired.

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 Keywords

ultrasonic sensor, PIC microcontroller, navigation, and echolocation.

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 Abstract

With the increasing prevalence of social media platforms as communication channels, the risk of malicious activities carried out by social bots has become a significant concern. This survey paper provides a comprehensive overview of the state-of-the-art techniques and methodologies employed in the detection of malicious social bots using machine learning (ML) approaches. exploring the landscape of social bots and their diverse functionalities, emphasizing the need for effective detection mechanisms to mitigate potential threats. Subsequently, a detailed analysis of existing literature is presented, categorizing ML-based approaches into different methodologies such as supervised learning, unsupervised learning, and hybrid models. various ML algorithms employed in social bot detection, including traditional classifiers, deep learning models, and ensemble methods. It evaluates the strengths and limitations of these algorithms in the context of social bot detection, considering factors such as accuracy, scalability, and interpretability.

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 Keywords

Malicious social bots, Machine learning , Learning Automata.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents an approach which enables seamless conversion of Natural language Query input queries into SQL Query efficiently for WooCommerce users. Common business owners who are the prime users of WooCommerce are usually not technically sound to query with their database in SQL. Therefore, we have introduced our system "Text-to-SQL report generation for WooCommerce" bridging the gap between non-technical users and Database interaction. Our system also provides bilingual support as an additional functionality for the WooCommerce users which is not provided in the existing systems. This system enables users to Input queries in both English and Hindi through text or voice. The system then generates the output in the Tabular data and Visual Graph formats facilitating better analysis and decision-making. By eliminating the need of SQL expertise, WooCommerce users can simply use our system which offers a user-friendly database interaction with bilingual support. This undertaken project represents a significant advancement towards empowering WooCommerce users to Interact with their Database effectively.

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 Keywords

SQL,NATURAL LANGUAGE PROCESSING, NATURAL LANGUAGE QUERY, WOOCOMMERCE,BILINGUAL

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Fire and smoke recognition is critical for guaranteeing early detection and reaction to possible fire events, hence avoiding disastrous outcomes. In this article, we provide a unique method for recognizing fire and smoke that employs picture classification techniques and deep learning models. The suggested method uses convolutional neural networks (CNNs) to automatically extract discriminative characteristics from fire and smoke photos, allowing for accurate classification. We first preprocess the incoming photos to improve essential attributes and eliminate noise. We then train a CNN architecture, such as ResNet or VGG, on a huge dataset of annotated fire and smoke photos to learn representative features. Transfer learning techniques can be used to fine-tune pre-trained models for the specific job of recognizing fire and smoke. We assess the performance of our strategy on benchmark datasets and compare it to other methods. The experimental results show that the suggested method is effective and efficient at precisely recognizing fire and smoke instances in photos. Furthermore, we investigate the possible uses of fire and smoke identification systems in real-world scenarios such as fire detection in surveillance cameras, environmental monitoring, and firefighter support. Overall, this research adds to developing the field of fire and smoke recognition using cuttingedge picture classification and deep learning approaches.

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Smoke detection and detection of fires Picture categorization, Machine learning, layered neural networks, Data mining, early warning systems, monitoring Environmental surveillance

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 Abstract

Abstract: Catharanthus Roseus is an important medicinal plant of the Apocynacae Family. Catharanthus Roseus plant leaves are used for medicinal purpose such as dibities and cancer treatment. Aim of the present study is to investigate the photochemical screening and antibacterial activity of ethanol and methanol extract at 500 C of Catharanthus Roseus. The Agar well diffusion method employed to analyze the antibacterial property qualitative screening of phytochemical reveals the presence of alkaloids, terpenoids, glyceroids, favonoids etc

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Keyword: Catharanthus roseus, Phytochemical Screening, Antibacterial activity, E.coli. S. aureus.

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Creative Commons Attribution 4.0 and The Open Definition

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"Live Animal detection for wildlife safety and conservation" is a tool which is best and convenient for wildlife safety it detects the unknown person going inside the forest and animals coming out of forest it is very convenient tool for detecting animals ,the purpose behind this tool is to save wild animals and endangered animals from getting killed by poachers and peoples living beside the forests they usually go inside the forest for hunting animals and cutting the tress. The animal detection system alerts the forest officers about the movement going inside the forest.

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animal detection,animal safety,human safety

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanotechnology is a silent sentinel, monitoring the intricate dance of agricultural processes at an unimaginably small scale. It acts as a guardian angel, bestowing upon us a myriad of benefits: enriching the quality and safety of our food, liberating us from the shackles of traditional farming practices, and fortifying the soil with minuscule but mighty nutrients. Its effects ripple through the fabric of agriculture, touching everything from the food on our plates to the very foundations of our natural resources. In the face of challenges such as sustainability, food security, and environmental stability, nanotechnology emerges as a beacon of hope. It strives to minimize the use of harsh chemicals, curtail nutrient loss during fertilization, and boost crop yields by outmanoeuvring pests and optimizing nutrient uptake. Nanotechnology stands poised to transform agriculture and the food industry, offering innovative solutions for disease management and nutrient enhancement. Among its many marvels are nano-fertilizers and nano-pesticides, revolutionizing productivity without leaving a trail of environmental destruction. These small yet powerful tools provide a shield against pests and microbial foes while nourishing the yields deprived of contaminating the soil and water sources. Moreover, nanotechnology could act as a custodian, safeguarding soil health by assessing its very essence. As researchers delve deeper into the realms of nanotechnology, they are unravelling the secrets of sustainable agriculture. This review sheds light on their quest to tackle the pressing issues of our time--sustainability, food security, and environmental resilience--through the lens of nanotechnology.

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 Keywords

Nanotechnology, outmanoeuvring, innovative, revolutionizing, custodian

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This review explores the self-curing properties of concrete when coir pith residue is incorporated as a fine aggregate at varying proportions of 1%, 3%, and 5%. Self-curing concrete aims to retain water within the mixture, enhancing hydration and reducing the need for external curing methods. Coir pith residue, a byproduct of the coconut industry, offers a sustainable alternative to conventional fine aggregates, potentially improving the environmental footprint of concrete production. This paper synthesizes findings from various experimental studies, examining key parameters such as compressive strength, flexural strength, and workability. The results indicate that coir pith residue can enhance the self-curing capacity of concrete, with optimal performance observed at specific inclusion rates. The implications for construction practices and material sustainability are also discussed, highlighting the potential benefits and limitations of using coir pith residue in self-curing concrete applications.

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Concrete, Self-Curing, Coir Pith Residue, Fine Aggregate, Compressive Strength, Flexural Strength, Workability

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Creative Commons Attribution 4.0 and The Open Definition

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The primary objective of the MGNREGS is to provide employment for the unemployed and impoverished members of society in order to reduce poverty and promote rural development. To ascertain the effect of MGNREGS on rural development, the opinions of respondents residing in rural areas have been gathered. Therefore, the data showed that this scheme's effects on social protection, livelihood stability, and democratic empowerment make it a potent tool for inclusive growth in rural areas. Through the development of long-lasting assets, enhanced water security, soil conservation, and increased land productivity, MGNREGS offer livelihood security to the impoverished. This programme has raised household income due to increased agricultural production, which has raised living standards for households. It has also resulted in significant salary increases for workers in rural areas.

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MGNREGS, Rural Development, Creation sustainable assets, Poverty Eradication

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 Abstract

The global expansion of Chinese ethnicity and culture has occurred over centuries due to various factors comprising economic opportunities, political instability, and socio-economic interchange. The Chinese Diaspora in northeast India has a unique history that has diversely impacted the eco-cultural identity of the region. The presence of people bearing Chinese descent in the northeast can be traced back to the late 18th and early 19th centuries when Chinese traders, labourers, and entrepreneurs began to settle in the region, particularly in Assam. Though this diasporic community is relatively small in comparison to the larger north-eastern population, its history and contributions are noteworthy. In collaboration with the Chinese migrants, the tea tribe community in the northeast, primarily comprising Adivasi and indigenous communities, has made significant contributions to the socio-cultural development of the region. The migrant Chinese community in the tea industry, preservation of traditional knowledge, promotion of culture, and engagement of social initiatives have enriched the cultural fabric of the region and have improved the overall quality of life for their gradual up-gradation. In the writings of many writers from the northeast, the depiction of Chinese diasporic impact is extraordinary. Along with the male writers, the women writers have also contributed immensely to the literary landscape by addressing various socio-cultural issues as presented in their writings. They have depicted gradual shifts in society by highlighting the uniqueness of each community and advocating for a sense of unity amidst socio-cultural diversities. They have used literature as a tool to explore different aspects of the society as a whole. Among significant women voices from the northeast, Rita Chowdhury's name can be referred to highlight various aspects of literature and the socio-cultural exchanges through the diasporic transmission of people from China specifically. The present research will focus on her novel Chinatown Days in terms of understanding the amalgamation of people's identity, culture, and societal norms in the context of the northeast. The novel's narrative will offer insights into the expansion of the Chinese Diaspora and the role of the migrant communities in framing a unique socio-cultural fabric for the upliftment of tea industry in the northeast. The present study will delve deep into the deliberations of the author in understanding the impact of Chinese migrants on the formulation of a greater tea tribe community in the northeast, especially in Assam.

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 Keywords

Chinese Diaspora, Tea-Tribe Community, Northeast, Socio-Cultural Formulation

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: -- The Greenhouse Monitoring System, grounded in image spectral data analysis, represents a pivotal advancement in agriculture technology. This research paper undertakes an extensive review of diverse literature surveys encompassing various technologies employed in greenhouse monitoring. The system's primary objectives include enhancing plant harvest phase tracking, implementing effective plant disorder identification, and facilitating meticulous plant growth monitoring. Recognizing the pressing issues of plant diseases, harvest wastage, and costly maintenance in greenhouse operations, the proposed system aims to substantially impact the maximization of yields and minimization of operational costs. Leveraging the insights gleaned from the literature surveys, this paper highlights the evolution of technologies and methodologies employed in greenhouse monitoring, emphasizing the need for advanced, automated solutions to address the challenges in contemporary agriculture.

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 Keywords

Index Terms - Greenhouse Monitoring System, Literature Reviews, IoT.

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: Gas leaks pose significant risks in industrial, residential, and natural gas pipeline sectors, leading to injuries, property damage, and even loss of life. Addressing these challenges requires robust monitoring systems that can detect and respond to gas leaks in a timely and effective manner. This research paper presents the development of a gas monitoring and detection system that integrates an unmanned aerial vehicle (UAV) with an array of MQ series gas sensors. The proposed system leverages the accessibility and continuous monitoring capabilities of a drone platform to address the limitations of fixed instrumentation. The integration of the gas sensing system with the UAV allows for autonomous, wide-area surveillance of volatile gases, minimizing the risks to human personnel. The system utilizes an Arduino Nano microcontroller, MQ series gas sensors, and an NRF24L01 transceiver module to acquire and transmit real-time gas concentration data to a ground station.

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 Keywords

Sensors, UAV, Arduino, Gas Leaks

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Changes in climatic conditions can impact urban drainage systems, which are designed to handle weather and pollution from metropolitan areas. In urban environments, efficient drainage is critical. The incorporation of turbine-powered energy generation into a drainage obstruction indicator system for metropolitan areas represents a unique solution that combines infrastructure monitoring with renewable energy production, hence increasing infrastructure resilience. This system uses sensors and real-time monitoring to quickly detect and fix drainage bottlenecks, reducing the impact of severe rainfall and improving city operations. The drainage obstruction indicator system sends timely alerts to local authorities, allowing for preventative measures. This not only avoids flooding, but also decreases the possibility of harm to roads and infrastructure. The use of data analytics improves maintenance plans, making the city's drainage network more responsive and adaptable to changing conditions. Overall, this novel method improves sustainability and resilience in the management of urban water infrastructure. Early detection, real-time monitoring, data collection, warning systems, predictive analysis, maintenance planning, environmental advantages, and public safety. Furthermore, the system's historical data analysis aids long-term infrastructure planning, resulting in the construction of more robust and sustainable urban drainage solutions.

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Drainage Systems ,environment

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract - In this paper, we propose a feature-free method to detect phishing websites using Normalized Compressed Distance (NCD), a parameter-free similarity measure that calculates the similarity between two websites with compression power, eliminating the need to perform some features. extraction. It also eliminates dependency on the features of a particular website. This method examines the HTML of web pages and calculates their similarity to known phishing websites to identify them. We perform phishing archetype extraction by using the cutting-edge algorithm to select samples that represent clusters of phishing websites. We also introduce the use of incremental learning algorithms as a framework for continuous updating without extracting new features when concept drift occurs. On large datasets, our proposed method outperforms previous methods in detecting phishing websites with an AUC score of 98.68% and a positive rate (TPR) of approximately 90%, while maintaining a low interest rate of 0.58%. Maintains rate (FPR). Our method uses a standard design, eliminates the need for long-term data storage in the future, and can be used in a real system with a processing time of approximately 0.3 seconds.

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Phishing detection, Machine learning, Python.

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Creative Commons Attribution 4.0 and The Open Definition

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The digital revolution has profoundly reshaped brand-consumer interactions, necessitating active engagement and community-building. The study investigates the influence of digital marketing on customer engagement, exploring effective tactics and content formats for capturing attention and fostering brand loyalty. Central to the research is an examination of customer perceptions of brand content on social media platforms, where consumers actively participate in online communities, providing feedback and engaging with resonant content. Additionally, the study explores the effectiveness of various digital marketing channels beyond social media, such as email and content marketing, in nurturing continuous customer engagement. Personalization emerges as a key focus, with brands leveraging digital tools to tailor experiences based on customer demographics and behavior. Furthermore, the study delves into the power of storytelling in forging emotional connections with consumers and analyzes the impact of limited- time offers on customer engagement and purchasing behavior. Lastly, the research underscores the importance of building brand authenticity in the digital age, highlighting transparency as pivotal in fostering trust and positive perceptions among consumers.

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Digital Marketing, Customer Engagement, Social Media, Content Marketing, Personalization, Brand Storytelling, Limited-Time Offers.

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 Abstract

This study investigates the effects of artificial intelligence (AI) tools, particularly ChatGPT and Virtual Reality (VR), on the youth population in the Delhi National Capital Region (NCR). With a quantitative approach, the research aims to explore whether these AI tools are serving as beneficial assets or detrimental forces for the youth. By analyzing data gathered through surveys, the study seeks to provide insights into the prevalence, purpose & impact of using AI tools, such as ChatGPT and VR, among young individuals in this region. The findings of this study are expected to contribute to a better understanding of the role of AI technologies in the lives of youth, informing policymakers, educators, and technology developers about potential implications and areas for improvement in fostering positive outcomes for the younger generation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI tools, ChatGPT, Virtual Reality, AI Technology & Youth

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Creative Commons Attribution 4.0 and The Open Definition

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With an emphasis on Vadodara, India, this study explores the feasibility of gold as an investment option in the digital age. New investing opportunities presented by the digital age could challenge gold's long-standing hegemony. This study investigates whether gold is still a popular choice among Vadodara investors in spite of the changing financial environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gold, Investment, Liquidity, Return, Risk, Digital Gold Investment.

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Creative Commons Attribution 4.0 and The Open Definition