Volume 13 | Issue 2 |

 Abstract

The uploaded document contains a project on developing a hybrid Vision Transformer (ViT)-CNN model for face mask detection. Here's a 200word abstract based on the details provided: This project introduces a novel hybrid Vision Transformer (ViT)-CNN model for efficient face mask detection, leveraging the strengths of convolutional neural networks (CNNs) and pre-trained Vision Transformer backbones. The approach involves local feature extraction using CNN layers combined with the global feature representation provided by the EfficientNetB0 model. The dataset, structured into masked and non-masked categories, is preprocessed with data augmentation techniques to enhance generalization. The hybrid model integrates CNN-based hierarchical feature maps with transformer-derived global features using concatenation. The architecture includes fully connected layers for binary classification and is trained with an Adam optimizer and binary cross-entropy loss function. Key metrics such as training and validation accuracy are monitored across epochs. The system demonstrates robust performance with a test accuracy of over 90%, validating its applicability in real-world scenarios. Further, the model supports individual image predictions, offering a userfriendly interface for detecting mask compliance. This project emphasizes the synergy between CNN and transformer models in addressing critical healthcare challenges. Future work could explore multi-class classification or real-time deployment for public safety monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Mask Detection, Hybrid ViT -CNN Model, Vision Transformers (ViT),Convolutional Neural Networks (CNNs),EfficientNetB0, Binary Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Smart appliances that are more dependable and efficient must be developed in order to build and create smart grids. We will create a cost-effective solution for the distribution transformer to prevent thermal overload in order to contribute to smart work. Overloading damages the greatest distribution transformer in India, but because of its high cost, no intelligent protection is yet in place. Overload reduces efficiency and increases the risk of overheating or burning the secondary winding. Therefore, the transformer can be protected by lowering the additional load. A transformer safety sensor timer circuit can be used to do this. The transformer safety feature immediately cuts off the excess load when it above the reference value. As a result, damage can be avoided and transformer safety devices operate effectively in overload and overheat situations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transformer, Thermal Overload Protection, Sensor, Extra Load, Efficient

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Partition of India in 1947 and the division of Germany during the Cold War represent monumental disruptions in modern history, marked by displacement, identity crises, and intergenerational trauma. This study examines these themes primarily through Amitav Ghosh's The Shadow Lines, complemented by Anna Funder's Stasiland as a comparative lens. Together, these works explore the profound human cost of borders, both physical and psychological, and their impact on individuals and communities. The Shadow Lines reflects the blurred and arbitrary nature of borders, delving into the intergenerational trauma and fragmented identities that arise from the Partition of Bengal. It highlights the personal and collective struggles of belonging amidst forced migration and political upheaval. Stasiland extends this inquiry into the context of a divided Germany, documenting the stories of those who lived under surveillance and oppression, capturing the resilience of individuals in reclaiming their voices. This research also discusses the continued relevance of these narratives in addressing modern issues like forced migration, rising nationalism, and intergenerational trauma. Furthermore, it explores new areas of inquiry, such as the role of memory and silence in healing, the gendered dimensions of trauma, and the universal parallels between regional and global partitions. By analyzing these themes, the study underscores the critical role of literature in preserving memory, fostering empathy, and helping societies heal after immense disruptions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Borders of Belonging: Identity, Displacement, and the Legacy of Partition in Literature

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract A UNESCO World Heritage site and one of the eight "hottest" biodiversity hotspots in the world, the Western Ghats are experiencing severe environmental deterioration as a result of deforestation, unchecked urbanization, agricultural growth, and climate change. Millions of people's access to clean water is at risk, endemic species are in danger, and ecological equilibrium is upset. Unrestrained use of natural resources has resulted in soil erosion, habitat fragmentation, and a rise in conflicts between people and animals. Furthermore, the region's susceptibility to landslides and biodiversity loss is made worse by unpredictable monsoons and warming temperatures. The main causes of environmental deterioration in the Western Ghats are investigated in this paper, along with their socioeconomic and ecological repercussions. To prevent more harm and protect this vital biological zone, immediate conservation measures, sustainable land-use plans, and more stringent environmental laws are required.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords Western Ghats, environmental degradation, biodiversity loss, deforestation, climate change, habitat fragmentation, water security, conservation strategies, sustainable development, and ecological imbalance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of transforming waste into a resource is a cornerstone of the circular economy, addressing the dual challenges of waste management and resource scarcity. This research explores the design and development of an AI-powered marketplace that facilitates the effective utilization of waste as a resource. The proposed system leverages artificial intelligence (AI) to classify, value, and redistribute waste materials, connecting producers with recyclers, upcyclers, and end-users. Core functionalities of the AI agent include waste identification, dynamic pricing, demand-supply matching, and predictive analytics for waste generation and resource needs. IoT integration and blockchain technology ensure transparency, trace- ability, and real-time data management. The study also highlights key use cases, challenges, and the environmental and economic impact of implementing such a marketplace. Through simulations and real- world data analysis, the research demonstrates the potential of AI-driven systems to revolutionize waste management, reduce environmental impact, and create a sustainable resource loop.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, IoT, Blockchain, Waste Classification, Circular Economy, Smart Waste Management.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As technology advances, many challenges faced by individuals can be addressed. One such challenge is the difficulty faced by people with blindness in traveling safely. For them, navigating the world is a significant concern. To address this, an intelligent electric vehicle is needed. This vehicle integrates a variety of technologies, such as ultrasonic sensor for obstacle detection, edge and road recognition, and infrared-based obstacle avoidance, GPS and map-guided location assistance, GSM-based emergency support, and a semi-automatic control system for operation. We propose a fully intelligent electric vehicle designed specifically for the blind, which can be successfully implemented. The vehicle is built to navigate footpaths and follow all traffic signals, ensuring its practicality in real-world scenarios. The development of an automatic solar-driven rickshaw for blind people aims to improve the mobility and independence of visually impaired individuals by combining renewable energy with advanced assistive technology. This system integrates a solar-powered electric motor with an autonomous navigation system, providing an eco-friendly and self-driving transportation solution. The rickshaw is equipped with sensors, including ultrasonic, GPS, and obstacle detection technology, allowing it to navigate safely and efficiently in various environments. Additionally, a voice-assisted interface guides the user to the desired location, offering a seamless experience without the need for manual operation or external assistance. By utilizing solar energy, the rickshaw ensures sustainability and reduces operational costs. This innovation addresses the unique transportation challenges faced by blind individuals, promoting inclusivity and autonomy in daily life while contributing to environmental sustainability.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Rickshaw, Solar, Vehicle for blind people

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fast food industry has experienced significant growth in recent years, driven by changing consumer lifestyles, urbanization, and increasing demand for convenience. Customer satisfaction plays a crucial role in determining the success and sustainability of fast food outlets. This study aims to analyze customer satisfaction towards the fast food industry in Coimbatore city, considering factors such as food quality, service efficiency, pricing, hygiene, ambiance, and brand perception. A survey-based approach was employed to gather insights from consumers regarding their expectations and experiences. Primary and secondary data was used for this study. The data were collected from 100 respondents through questionnaire. Percentage analysis, Chi-Square, and Anova used for this study. The findings highlight key determinants of customer satisfaction and provide recommendations for fast food businesses to enhance their services and customer retention. The study also explores the impact of digitalization, home delivery services, and promotional strategies on consumer preferences. The results offer valuable insights for fast food operators in Coimbatore to improve their offerings and maintain a competitive edge in the market.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer Satisfaction, Fast Food Industry, Service Quality, Consumer Preferences, Coimbatore

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda the science of life deals with health as well as curative aspect of diseases, the same time various diagnostic aspects of diseases also mentioned in Ayurvedic classics, such as Trividha Rogi Pariksha (Threefold Examination), Sadvidha Pariksha (Sixfold Examination), Aststhan Pariksha, Dashvidha Rogi Pariksha (Tenfold Examination) and Pratyatmik Linga. The diagnosis is based on two levels in Ayurveda that is Rogi Pariksha and Roga Pariksha. The Roga Pariksha is mentioned as Pratyatmik Linga and subtype of Lakshana of Vyadhi. There is confusion in all subtypes of Vyadhis look similar and certain Lakshana difficult to identify like Khrata and Rukshata in liquid substances. Also certain symptoms are very difficult to appreciate or generalized in a group of people few examples Laghuta, Guruta etc, and certain symptoms are unchanged till now like pain radiation in case of Gradhrasi. This problem may be answered as the symptatology is of two types; one is Subject based and another is objective. The subjective type may refer as principle based and objective type may be observation based. Ayurveda deals in diagnostic method with its tools like: Trividha Rogi Parikshha, Sadvidha Pariksha, Ashthsthan Pariksha, and Dashvidh Rogi Parikshha etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diagnostic Aspect, Ayurveda, Trividha Rogi Parikshha, Dashvidh Rogi Parikshha, Ashthsthan Pariksha etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: In today's world, artificial intelligence is essential. The science of computers defines AI research as the study of intelligent agents. Whether on purpose or not, most people in today's world use computerized information processing technologies. Already, artificial intelligence (AI) is altering the way we live. A gadget that monitors its environment and takes steps to increase the possibility of reaching a goal. A database may accept a selection of users and articles as input, and its output will be a harsh recommendation. The user can enter data into the system either orally or in writing. A novel method for intelligent search is presented in this research. In general, a large number of people employ helpers worldwide. The provocative of using virtual assistant technology is discussed in this study. The application of virtual assistants, which can benefit humanity in many domains, is also introduced in this study. One significant emerging feature that will transform people's lives is voice control. Mobile phones, desktop computers, and laptops can all be equipped with voice assistants. Now by the using Assistant on any electrical device, voice assistant is a software agent that can understand human speech and answer in machine language.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Perception, artificial intelligence, Python, Voice Assistant, Chatbot.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid advancement of technology has paved the way for innovative solutions in remote healthcare monitoring, particularly through the integration of the Internet of Things (IoT), cloud computing, web applications, and artificial intelligence (AI)/machine learning (ML). This paper presents a comprehensive real-time e-healthcare monitoring system designed to collect, transmit, analyse, and visualize patient health data remotely. The system utilizes IoT-enabled sensors connected to an ESP32 microcontroller to gather vital signs, including heart rate, body temperature, and oxygen levels. The collected data is transmitted securely to a cloud-based database, where it is processed and made accessible via a web interface for healthcare professionals. Additionally, AI/ML algorithms are employed to analyze trends in patient data, enabling predictive healthcare insights and early detection of anomalies. By combining these technologies, the proposed system aims to enhance remote patient care, improve healthcare accessibility, and facilitate timely medical interventions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Real-time health monitoring, Cloud storage, ESP32 microcontroller, Web dashboard, AI in healthcare, Machine learning, Predictive analytics, Anomaly detection, Smart healthcare systems, Remote healthcare, Vital signs monitoring, Remote patient monitoring.

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Creative Commons Attribution 4.0 and The Open Definition