Volume 13 | Issue 3 |

 Abstract

This project focuses on the development of an AI-driven healthcare chatbot aimed at enhancing accessibility and efficiency in the healthcare sector. The AI chatbot is designed to provide users with personalized health assistance by addressing a wide range of health-related issues, from answering general medical queries to offering guidance on symptom analysis and appointment scheduling. By leveraging Natural Language Processing (NLP) and machine learning algorithms, the chatbot can interact with users in real-time, offering accurate and timely information based on user input. Key features include symptom checking, mental health support, health education resources, and integration with healthcare providers for appointment booking and follow-ups. The chatbot is also equipped with advanced data security measures to ensure patient confidentiality and compliance with healthcare regulations. This platform aims to reduce the burden on healthcare facilities, improve patient engagement, and promote preventive care, contributing to an overall enhancement of the healthcare system's efficiency and reach.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Accessibility, Efficiency, Healthcare, AI, Chatbot, Personalized, Guidance, Symptom Analysis, Appointment Scheduling, Confidentiality, Integration, Proactive Care, Revolutionize, Patient Engagement, Preventive Care, Timely Intervention, Health Education.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research focuses on understanding the habits and interests of consumers regarding non-prescription medications in Vadodara. As over-the-counter (OTC) medications play an essential role in self-care, it is crucial for pharmaceutical businesses and healthcare professionals to study consumer behaviour in this area. Through an analysis of qualitative and quantitative data collected from surveys and interviews, the study provides insights into product awareness, purchase behaviour, and the role of marketing and healthcare professionals in influencing consumer decisions. The results will aid pharmaceutical companies and policymakers in improving OTC medication accessibility and awareness.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-Prescription Medications, Consumer Behavior, OTC Medications, Self-Care, Vadodara.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Learners with good communication skills are likely to be understood even though they make errors in other areas, whereas learners with bad pronunciation will not be understood, even if their grammar is perfect. Learners who have bad pronunciation feel lonely, employment difficulties, avoid speaking in English, limited opportunities for further study. If the sound of word is differing it may lead the listener to some other meanings, and if this happens, it is very much obvious that it's not a proper communication. Everybody judge people by they communicate, and so learners with poor pronunciation can be judged as uneducated, lack of knowledge in pronunciation or incompetent. So learners should have knowledge about the pronunciation. Many learners find pronunciation is difficult aspect of English to acquire. Therefore, some sort of instruction and practice is must in class. Clear pronunciation enhances listening skills, enabling learners to engage in meaningful conversations. This also helps conversations become more complex, increasing the scope and richness of language learning. This paper analyses the importance of pronunciation, discuss the English pronunciation, and communication.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Language, Listening, Sustainable development, English language

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Credit card fraud is still a major problem that costs consumers and financial institutions a lot of money worldwide. The centralised machine learning models used by traditional fraud detection systems raise privacy issues and are susceptible to single points of failure and data breaches. We suggest a Peer-to-Peer Federated Learning (P2P FL) model for credit card fraud detection in order to overcome these drawbacks. Our method preserves privacy and complies with laws like GDPR by enabling financial institutions to work together to develop a global machine learning model without exchanging raw transaction data. The system makes use of local model training and elliptic curve cryptography (ECC) to securely transmit model updates among peers using datasets that mimic real-world decentralised data. The P2P FL model provides good detection accuracy, according to the results. A step towards effective, safe, and flexible fraud detection systems is this decentralised, privacy- preserving approach.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data imbalance handling, elliptic curve cryptography (ECC), decentralised systems, privacy- preserving machine learning, federated learning, peer-to- peer networks, credit card fraud detection, and secure communication.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this age of globalisation, people have migrated from traditional community setups to metro-centres, urban locations, university/college campuses or work places and, consequent thereupon they find huge freedom to act against caste discrimination, and, yet psychologically succumbing to the scars of oppression or the said dalit experience of pre-movement. The new emerging identity with the change of location not only assimilates, with its ameliorated status, into a larger social setup, but simultaneously provides a space for encountering the age old historic oppression. Om Prakash Valmiki is one of such people. He has carved out a niche for himself as a leading dalit writer from North India. The present paper focuses on his short stories in which he has, with authenticity and conviction, presented before us not only the bitter experience of life faced by individuals from dalit community, but also the condition of women in patriarchy. The present paper seeks to present a critique of these stories to understand dalit consciousness, its experiences and directions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dalit, caste discrimination, oppression, psychology, patriarchy.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a Farmer-to-Client Direct Market Access App designed to connect farmers directly with consumers, bypassing intermediaries. The app enables farmers to showcase their produce, manage sales, and receive payments securely, while providing real-time market information and product tracking. By empowering farmers, especially small-scale producers, the app enhances income opportunities and promotes a more efficient, transparent, and sustainable agricultural supply chain.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

farmer to client,farmer,client,marathwada mitra mandals polytechnic,msbte,final year project,veggies delivery app,best project,best student,msbte.computer enginneering,cpp,android application,sih,smart india hackathon,problem statem,ent,jay khandagale,siddhi dhorkule,kritika bhojane,komal jagtap,vikas solanke,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Usnic acid (UA) and its analogues (UA1 - UA10) have been selected to study and the physicochemical and medicinal properties were analysed using SwissADME web tool. It is inferred that all the studied molecules have no blood brain barrier (BBB) permeation and (except UA9) possess high Gastrointestinal (GI) absorption. The positive nuclear receptor interaction value for each molecule indicates that it plays a part in gene creation, which may have an impact on reproduction and anti-carcinogenic activity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phytochemical, secondary metabolite, Usnic acid, Medicinal properties and SwissADME

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Globalization refers to the process of increasing interconnectivity and interdependence of the world's markets, cultures and economies. It involves the movement of goods, services, technology, capital and labor across borders facilitated by advances in communication, transportation and the liberalization of trade and investment. Globalization has accelerated the exchange of goods, services, capital, and technology, created interconnected economies and fostered economic growth. Globalization has allowed countries to specialize in areas where they have a competitive advantage, leading to increased trade and overall economic development. However, its rapid expansion has also highlighted challenges related to environmental degradation, resource depletion and social inequality. Trade policies are critical in shaping the outcomes of globalization, particularly in the context of sustainable development. By incorporating sustainability principles & trade policies can promote environmentally friendly practices, support the equitable distribution of resources and protect vulnerable communities. Sustainable trade policies, such as carbon tariffs, fair trade agreements and environmental standards in global supply chains aim to balance economic growth with social equity and environmental protection. As global economies become more integrated, aligning globalization with sustainable development goals is essential to ensure long-term prosperity for both people and the planet. The relationship between globalization, trade policy and sustainable development has been a focal point of academic and policy discussions for decades. While globalization has driven unprecedented economic growth, it has also exposed the environmental and social costs associated with unchecked global trade. Sustainable development defined by the United Nations as development that meets the needs of the present without compromising the ability of future generations. In this research article, the connections between globalization, trade policy and sustainable development are examined. The goal is to conduct a thorough analysis of the evolution of global trade mechanisms and policies and their impact on sustainability objectives with a specific emphasis on economic, social and environmental aspects. By evaluating important frameworks such as the WTO agreements, regional trade agreements and trade policies, the article demonstrates how trade policies can be harmonized with the United Nations Sustainable Development Goals (SDGs)to promote comprehensive and sustainable economic Growth. Therefore, the recent study puts more emphasis on globalization as well as changing trade policy and its impact on sustainable development, so that the result can be generalized as global context.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Globalization, growth, sustainable development, trade policy and sustainability.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, Extreme Shock Maintenance Model Under Some Bivariate Replacement Policy by Partial Sum Process with Negligible or Nonnegligible Repair Times is studied. This study combines the NONN repair times model (Thangaraj and Rizwan, 2001) with extreme shock analysis to investigate maintenance optimization under bivariate replacement policy (T,N) Policy: Replace the system after a fixed working age (T) or upon Nth failure. the problem is to determine an optimal replacement time (T, ,N)* such that the long-run average cost per unit time is minimized.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Partial Sum Process, Replacement Policy,Shock models

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Criminal identification is a critical aspect of law enforcement, where rapid and accurateidentification of individuals can significantly aid in solving crimes and enhancing public safety. Facialrecognition technology (FRT) has emerged as a powerful tool in this domain due to its ability to process and match facial images with high speed and precision. This paper explores the implementation of a criminal identification system using facial recognition on a **Raspberry Pi 5**, leveraging its improved processing power, expanded memory, and efficient machine learning capabilities. By utilizing compact, low-cost, and portable hardware, such as the Raspberry Pi 5, this system is capable of capturing and analyzing facial data in real-time and in challenging environments. The system employs machine learning algorithms, particularly convolutional neural networks (CNNs), to analyze and match facial features against a database of known offenders. Key challenges addressed include optimizing model performance on resource-constrained hardware, ensuring data security, and mitigating biases in recognition accuracy. This study evaluates the model's accuracy, real-time processing speed, and practical field applications, highlighting how low-cost hardware solutions like the Raspberry Pi 5 make facial recognition accessible for broader, ethical applications in law enforcement. Results demonstrate that with careful implementation, this technology can enhance law enforcement capabilities while respecting privacy and ethical standards. The system's performance is evaluated on key metrics such as accuracy, processing time, and robustness in various lighting and environmental conditions. Additionally, ethical considerations are discussed, including privacy protection, data security, and measures to prevent misuse of facial recognition technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Raspberry Pi 5, OpenCv,Face Recognition,Criminal Identification,Haar Cascade

  License

Creative Commons Attribution 4.0 and The Open Definition