The convergence of the Internet of Things (IoT) and cloud computing has revolutionized the concept of smart home automation, offering unparalleled convenience, energy efficiency, and security. This survey paper provides a comprehensive examination of the dynamic landscape of smart home automation through IoT and cloud technologies. It explores the underlying principles, architectures, and protocols that underpin the creation of intelligent home environments. Moreover, the paper delves into the diverse applications, ranging from smart lighting and entertainment systems to advanced security and energy management solutions. As the demand for connected, intelligent living spaces continues to grow, this survey provides a timely and comprehensive overview of the technologies, applications, and challenges shaping the future of IoT-driven smart homes.

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In the present work the high temperature corrosion behaviour of SS304 & SS316 at 700°C in air and 60% of V2O5 ,40% Na2SO4 Salt environment respectively under cyclic heating and cooling conditions for 50 cycles was studied, each cycle consist of 1 hour heating in a tube furnace followed by 20 min cooling in ambient air. Disintegration leads of SS304 and SS316 at 700°C in aerate and cool independently under cyclic warning and cooling conditions for 50 cycles was pondered. For each cycle the weight change was assessed using propelled estimating machine ±0.0001 precision. The vitality of oxidation and utilization rate is assessed by strategies for weight change data estimations. The SEM close by XRD techniques were used to separate the corrosion and utilization consequences of the SS304 and SS316.

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The Smart Public Transport Ticketing System uses an Arduino mega board with RFID, keyboard, LCD, TFT, SIM800L, RTC and MP3 modules. Users scan RFID cards and ask the system to retrieve their name and cell phone number. Clear instructions guide you to select your destination on the 20*4 LCD screen and the payment QR code is displayed on the TFT screen. After a successful payment, the system waits for confirmation from the SIM800L, displays a success message and waits for the payment status. The real-time clock feature ensures the date and time on the ticket sent to the user's mobile phone is correct. For ease of use, the system features text-to-speech guidance. Once the process is complete, the system is restored and ready for the next user, providing a streamlined and modernized public transport ticketing solution.

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The heart plays an important role in living organisms. Diagnosing and predicting heart diseases requires more accuracy, perfection and correctness because a small mistake can cause fatigue problems or death of a person, the cases of heart related deaths are many and the number is increasing exponentially day by day. A predictive system for disease awareness is imperative to solve this problem. Machine learning is a branch of artificial intelligence (AI), it provides prestigious support in predicting any event that takes training from natural events. In this paper, we calculate the accuracy of machine learning algorithms for heart disease prediction, for these algorithms are KNN classifier, Logistic Regression and Extra Trees Classifier using Kaggle dataset for training and testing. To implement Python programming, the best tool is Anaconda (jupyter) notebook, which has many types of libraries, header files, which make the work more accurate and precise.

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The best option for longer spans are cable stayed bridges, and it's crucial to examine their behaviour under static and vehicular pressure. The analytical results are more satisfactory and the modelling of the cable-stayed bridge is more accurate. Although there are numerous ways to create a structural model, in the current work two distinct types of structural models—the Spine Model and the Area Object Model—are utilised to analyse a cable-stayed bridge. In order to evaluate the outcomes, static analysis and moving vehicle analysis have been carried out with the application of the IRC Class A vehicle load. To determine the optimum structure model for analysis, the analysis is carried out in SAP 2000, and the analysis results are compared with tables and graphs. This research is concerned with comparative analysis of suspension bridges considering two different forms of anchoring namely suspension bridge with tunnel anchoring and suspension bridge with gravity anchoring and the modeling and analysis is conducted using analytical application SAP 2000 considering similar loading conditions. Dead load analysis of suspension bridges and cable-stayed bridges is studied while maintaining constants in the main span, side span, pylon height, bridge deck, and material qualities. The ideal suspension bridge sag, at which the lowest magnitude of deflection is obtained, is determined by analysis. Next, the diameters of the main cables are modified, and the deflection of the bridge deck as a result is noted. Suspension bridge is then modelled with the best sag value. The optimal value is determined by the diameter at which the deck deflection is at its lowest. It is indicated how much steel was needed to achieve the desired diameter and sag. The ideal diameter of the cable used in the Cable-Stayed Bridge was determined by a similar technique. In SAP 2000, the bridges are modelled. The outcome demonstrates that, when compared to a suspension bridge of equal length, cable stayed bridges consume less steel and experience less deflection.

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In recent months, advancements in free deep learning-based software tools have made it easier to create convincing face swaps in videos, often leaving minimal traces of manipulation. This phenomenon is commonly known as “DeepFake” (DF) videos. While manipulations of digital videos using visual effects have been demonstrated for decades, recent progress in deep learning has significantly enhanced the realism of fake content and the ease with which it can be generated. These artificially intelligent tools, commonly referred to as AI-synthesized media or DF, have simplified the creation process. However, detecting DeepFake videos poses a significant challenge. Despite the simplicity of generating DF using AI tools, training algorithms to identify them is not straightforward. To address this issue, we have taken a step forward by employing Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) for detection. Our system utilizes a CNN to extract features at the frame level. These features are then employed to train an RNN, which learns to classify whether a video has undergone manipulation. The system is capable of detecting temporal inconsistencies between frames introduced by the tools used in DF creation. To evaluate the effectiveness of our approach, we tested it against a large set of fake videos collected from a standard dataset. The results demonstrate the competitiveness of our system, achieved through a simple architecture.

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what if we want to complete our assignments quickly, and which is very difficult to find out? So here is our ER generator software which will help you to create and exciting ER diagrams. Correspondingly it will help user to create different test case templets and use case diagram for various management system. Additionally, money is wasted to buy a subscriptions of various platforms, to create desiring ER diagrams, our app will help you efficiently. So the is the combination of various facilities in one software. Whoever don't have knowledge our app will provide step by step guidance how to work on it easily. So basically, our app is finest and simpler among other platforms. In ER diagrams, while creating any management system it will provide us suitable suggestions of entity. The goal of ER GENERATOR is to ensure that users time will be saved and their work will be done quickly.

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Student dropout is a significant issue faced by educational institutions worldwide, impacting both individual learners and the broader educational system. Early identification of at-risk students can enable timely interventions to prevent dropout and improve student success rates. In this study, we propose a comprehensive approach to predict student dropout using machine learning techniques. Our methodology involves collecting and preprocessing various types of data, including demographic information, academic performance metrics, socio-economic factors, and behavioral data. Feature engineering techniques are employed to extract meaningful insights from raw data, enhancing the predictive power of our models. We then apply a variety of machine learning algorithms, such as logistic regression, decision trees, random forests, support vector machines, and neural networks, to train predictive models on the preprocessed data. By employing a diverse set of algorithms, we aim to explore different aspects of the data and capture complex patterns that may indicate dropout risk. To evaluate the performance of our models, we employ metrics such as accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC-ROC). Additionally, we conduct cross-validation and hyperparameter tuning to ensure robustness and optimize model performance. The proposed approach is implemented and tested on a real-world dataset obtained from educational institutions, encompassing a diverse range of students across different academic levels and disciplines. Experimental results demonstrate promising predictive performance, with our models achieving high accuracy in identifying students at risk of dropout. Furthermore, we discuss the practical implications of our findings and highlight the importance of early intervention strategies in addressing student dropout. By leveraging machine learning techniques for dropout prediction, educational institutions can proactively identify and support at-risk students, ultimately fostering a more inclusive and successful learning environment.

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Green Manufacturing Experimentation, develop, or make use of advancement and utilizations to reduce their outcome on surrounding. The profitable thing of moving regarding green are noteworthy, and various profession that has so far to proceed in this direction has an occasion to find out it for individual. Moving green will impel you regarding the on the inside glance regarding the on the inside recent advancement and method of performing things cured. This analysis will give you figures about how the green manufacturing utilizations are being perceive in various progress and what are the impel that must to be dealt with the objective that the green manufacturing utilizations can be gradually potent for the enhancement of organizations in a more practical method. Green Design and Manufacturing is the bound of faith required in Mechanical Design Services. Ethical thing being. It is a vital pattern for Humans to keep their affinity with sustainable development. This pattern of Green manufacturing and design will help in preventing environmental shielding to reduce expenditure and increase productivity. For green manufacturing, the target is AL method on increasing the life cycle and reducing the consequence on the environment. Green Manufacturing requires re-manufacturing for combination of a product. The engine used to re-manufacture components etc. can get cured in economy and practicability.

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There have been foreign invasions in India since the beginning, to which Indian kings have put up strong resistance, but the credit for this is given only to men. Which is discrimination against women in history. Whereas women have stood shoulder to shoulder with men and taken on the foreigners. Women have always been a source of inspiration for men. For this reason they could easily face even the biggest attackers. In the presented research paper, an attempt has been made to briefly explain the resistance done by women against foreign invasions so that researchers and students can come face to face with those facts in the future, so that in the future, women get equal justice as men in history. So that they can understand that women are not just objects of enjoyment but they are the actual form of Durga and when the time comes, they have always been ready to perform each of their duties, be it at home or the battlefield.

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The seismic response of a structure is highly influenced by Soil Structure Interaction (SSI). In this study, the flexibility effect on the behaviour of building was investigated under different soil conditions i.e. soft, medium & hard. In this study we also considered fixed support & replaced it by different conditions for better enhancement of results. The use of base isolation system also has been introduced for better considerable effect & to understand the behaviour of the structure. The aim of this study is to observe the behaviour of such system for seismic control under different configuration of soil with different behaviour which is useful to find its sustainability and is to review such kind of technologies for seismic control.

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Real-Time Voice Translation (RTVT) enables instantaneous translation of spoken language from one language to other. Through our design method, three incremental versions of prototype were produced. In the end, we demonstrate that the interaction model can be applied on real situation. Voice Translation has always been about giving source text/audio input and waiting for system to give translated output in desired form. It should work without the interaction of any operator. The application should be able to understand everything the user said. User should be able to talk about whatever he wants and the application would be able to translate what he has spoken. Real-Time Voice Translation (RTVT) is a ground-breaking technology that enables the instantaneous translation of spoken words from one language to another during live conversations. Real-Time Voice Translation is facilitated through a combination of advanced technologies and algorithms. It should be able to translate simple sentences to many languages. Our research focuses on analyzing the existing interaction models for real-time translation systems and the expectations of users, who need to minimize communications difficulties encountered on daily brief conversations.

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This paper delves into the multifaceted contributions of women to the integration of India, examining historical, socio-political, and cultural dimensions. Through an interdisciplinary analysis, it explores the pivotal roles played by women in various spheres such as politics, social reform, education, and economic development. Key figures and movements in India's history, including the independence movement and social reform initiatives, are discussed to illustrate the significant impact of women's participation on nation-building and fostering unity amidst diversity. The paper also addresses challenges faced by women and highlights opportunities for promoting gender equality and inclusivity in the integration process. By acknowledging the agency and contributions of women, this study underscores the importance of gender-inclusive approaches to nation-building and social cohesion.

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This paper explores the significant and often overlooked contributions of women in the fields of science and technology, shedding light on their remarkable achievements, ground-breaking discoveries, and persistent efforts to bridge the gender gap within these domains. Historically marginalized, women have played pivotal roles in shaping scientific and technological advancements, yet their contributions have frequently been overshadowed or underrepresented. The study delves into the historical context, highlighting key female figures who have made enduring impacts on various scientific disciplines and technological innovations. It examines the challenges faced by women in these fields, such as systemic biases, gender stereotypes, and unequal opportunities, and discusses the evolving landscape that is gradually becoming more inclusive. Furthermore, the paper explores the importance of diversity in scientific and technological pursuits, emphasizing how the inclusion of women fosters creativity, innovation, and a broader range of perspectives. It examines initiatives and programs aimed at encouraging and supporting women in pursuing careers in science and technology, ultimately working towards creating a more equitable and diverse landscape. Through a comprehensive review of literature, case studies, and statistical data, this paper seeks to underscore the vital role women have played and continue to play in advancing science and technology. The findings aim to raise awareness about the contributions of women in these fields, inspire future generations, and advocate for ongoing efforts to eliminate barriers hindering the full participation of women in science and technology.

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In today's automotive landscape, major vehicle manufacturers are placing significant emphasis on developing and incorporating electric vehicles (EV's) into their product portfolios, and the reasons are abundantly clear. Amidst the pressing global issue of climate change, exacerbated by the widespread concern over air pollution, the automotive industry is at a critical juncture. Traditional combustion engines, notorious for emitting harmful exhaust gases, contribute significantly to air pollution, further exacerbating the problem of global warming. The proliferation of vehicles worldwide only exacerbates this issue, necessitating a shift towards more sustainable transportation solutions. The transition to electric vehicles represents a pivotal step in combating pollution and mitigating the effects of global warming. Unlike their combustion engine counterparts, EVs produce zero exhaust emissions and boast greater operational efficiency. Furthermore, the electric motors powering these vehicles possess the capability to regenerate energy through mechanisms such as back electromotive force (E.M.F), enhancing overall efficiency and reducing environmental impact. While it's true that electric vehicles may not currently match the range offered by traditional combustion engines, the trade-off is negligible when considering the broader environmental benefits. Moreover, ongoing advancements in mechanical and automotive engineering promise continued improvement in EV technology, offering a glimpse of a more sustainable future.

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The infusion of Western influence into Indian fashion has undergone a profound transformation, shaping the country's sartorial landscape in significant ways. This paper delves into the key facets of starting a new business revolved around Western influence on Indian fashion, examining historical antecedents, contemporary expressions, and the overarching impact of globalization. The dynamic interplay between traditional Indian aesthetics and Western design sensibilities has given rise to a fusion fashion movement reflective of a diverse and evolving cultural narrative. Historically, the adoption of Western styles in India can be traced back to globalization and colonial interactions, but it has intensified in recent decades. Thus, while thinking with the mind of an entrepreneur, all these things should be kept in mind and focused on. The contemporary manifestations of this influence are evident in the preferences of Indian consumers, especially the youth, who increasingly gravitate towards Westernized clothing styles and global fashion brands. The surge in the popularity of Western fashion is intricately connected to changing socio-economic dynamics, increased exposure through media, and the growing influence of global trends. Globalization, marked by increased connectivity and cultural exchange, has facilitated the seamless integration of Western elements into Indian fashion. This has resulted in a dynamic and cosmopolitan fashion scene, reflecting a harmonious blend of traditional and modern styles. This concludes that if a new startup is supposed to be proposed in the Indian market, it should have Western culture as well as the aesthetic of true Indian wear to get noticed by youth and a large population. The influence of the essay underscores the significance of Western influence as a catalyst for innovation, diversification, and the redefinition of fashion norms in India.

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India's Northeast region, characterized by its diverse cultures, ethnicities, and historical complexities, has been a focal point of insurgency and security challenges. Against this backdrop, the emergence of women soldiers as a dynamic force has not only shifted paradigms but has also offered fresh perspectives on peace building and conflict resolution. This paper provides an in-depth analysis of the transformative role played by women soldiers in India's North-east, emphasizing their contributions to promoting peace, security, and gender equality. Historically, the involvement of women in India's armed forces had been limited to support roles. However, recent years have witnessed a remarkable transformation, with women soldiers actively participating in counterinsurgency operations, peacekeeping missions, and humanitarian assistance efforts. This paper traces the historical context of women's military participation in India and sheds light on the evolving roles and responsibilities of women soldiers in the Northeast. Women soldiers are at the forefront of counterinsurgency operations, patrolling remote regions, and engaging with conflict-affected communities. Their unique perspectives and gender-sensitive approach often lead to improved communication, intelligence gathering, and trust-building with local populations. Moreover, their active involvement in humanitarian assistance and disaster relief operations has proven invaluable, where their empathy and gender-specific responses enhance the effectiveness of relief efforts. Beyond their contributions to security and peace efforts, the presence of women soldier's challenges entrenched gender stereotypes. Their accomplishments serve as an inspiration to younger generations of women, encouraging them to break free from traditional societal norms and pursue careers that empower them economically and socially. This ripple effect contributes significantly to the region's overall development. However, women soldiers face formidable challenges, including gender bias within the military and society, the delicate balance between military duties and family responsibilities, inadequate infrastructure, and mental health concerns arising from exposure to conflict. These challenges necessitate systemic changes and support structures to enable women soldiers to excel in their roles. Despite these challenges, the impact of women soldiers in India's Northeast extends far beyond security. Their presence signifies progress, resilience, and a commitment to peace. They are not only protectors of national security but also agents of social transformation. Their stories of breaking barriers and challenging stereotypes underscore the notion that gender should never constrain one's potential or contributions to society. As these women continue to serve on the frontlines of peace, their legacy will undoubtedly shape a brighter and more inclusive future for the region.

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The seismic response of a structure is highly influenced by Soil Structure Interaction (SSI). In this study, the flexibility effect on the behaviour of building was investigated under different soil conditions i.e. soft, medium & hard. In this study we also considered fixed support & replaced it by different conditions for better enhancement of results. The use of base isolation system also has been introduced for better considerable effect & to understand the behaviour of the structure. The aim of this study is to observe the behaviour of such system for seismic control under different configuration of soil with different behaviour which is useful to find its sustainability and is to review such kind of technologies for seismic control. In this study, a G+ 5 storeys building is considered with fixed base and base with different spring properties of soil with & with base isolators. The dynamic analysis is carried out using Response Spectrum, given in IS1893-2016 using Etabs Software. The influence of different properties of soil with base isolation effect on various structural parameters i.e. natural time period, base shear, roof displacement, drift and overturning moment are observed, studied and presented which reveals that the Soil structure interaction effect along with base isolation properties significantly affects on the response of the structure.

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Geographical Information Systems (GIS) can be defined as an intelligent tool, which relates to techniques for the implementation of processes such as the introduction, recording, storage, handling, processing, and generation of spatial data." Traditional methods of surveying and land records cannot be successful tools for managing the urban scenario today. 'GIS is one such sophisticated tool' to handle spatial information and sequentially analyze the physical environment with that of its attribute data such as canopy, land uses, land cover, environmental resources, water line, sewer line, etc., and related to its topography apart from the conventional.

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