Volume 12 | Issue 3 |

 Abstract

In the ever-evolving landscape of real estate, the integration of smart contracts and blockchain technology presents a paradigm shift that promises to revolutionize traditional practices. This research paper delves into the legal intricacies surrounding these technological advancements, dissecting both the challenges and opportunities they bring to the forefront. From the potential for transparent and efficient transactions to the complexities of regulatory compliance, the exploration aims to provide a comprehensive understanding of the multifaceted implications. This paper aims to explore the prospective opportunities, challenges, enablers and inhibitors in using blockchain in the real estate sector and the need for a regulatory framework. In the dynamic landscape of technology, Blockchain-enabled Smart Contracts continue to achieve breakthroughs regularly. Despite this progress, significant issues related to their validity and legality remain unresolved, impeding further development. These complexities are attributed to the legal system's reluctance to regulate and surpass the boundaries of traditional contracts. Recognizing the immense potential and functions of this technology from a legal standpoint is crucial, and effective regulation is pivotal for promoting its widespread adoption. The paper delves into this unexplored territory to unveil innovative solutions and necessary legal frameworks for unlocking the true potential of smart contracts and blockchain in the real estate sector.

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 Keywords

Blockchain Technology, Smart Contracts, Immutability, Real Estate, Intermediary, Security and Data Privacy.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) techniques has paved the way for innovative applications across various domains, including human resources and recruitment. This research focuses on the development of a predictive model for campus placement, leveraging AI and ML algorithms to enhance the efficiency of the placement process. The proposed system aims to assist educational institutions and employers in making informed decisions by forecasting the likelihood of a student's success in securing a job during campus placements. The methodology involves the collection of comprehensive data sets, including academic performance, technical skills, extracurricular activities, and other relevant attributes, from previous placement cycles. Feature engineering is employed to extract meaningful patterns and relationships within the data, and a variety of supervised learning algorithms, such as Decision Trees, Support Vector Machines, and Neural Networks, are explored to build the prediction model. The system is designed to offer personalized insights for both students and recruiters. Students can receive feedback on areas of improvement, helping them enhance their employability skills. Recruiters, on the other hand, benefit from a streamlined and data-driven approach to shortlisting candidates, ultimately leading to more efficient and successful placement processes. The research also delves into the ethical considerations surrounding the use of AI in the hiring process, addressing potential biases and ensuring fairness in decision-making. Robust evaluation metrics, including accuracy, precision, recall, and F1 score, are employed to assess the model's performance and reliability. The proposed AI-ML-based campus placement prediction system has the potential to revolutionize the traditional placement process, fostering a more data-driven, transparent, and equitable approach for both educational institutions and employers. The study contributes to the ongoing discourse on leveraging advanced technologies to optimize various aspects of the recruitment ecosystem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence , Machine Learning , Campus , Placement , Prediction

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Creative Commons Attribution 4.0 and The Open Definition

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The main task of the study was to find out the resemblance of corporeal robustness reputation of rural and urban obese students in Tuticorin. To attain the task of the study 100 male obese student having 30BMI, between the ages of 14 -17 years randomly selected as the subject. The sample consisted of 50 obese from urban and 50obese from rural were selected from the schools in an around tuticorin. A battery of five tests having Harvard Step Test, Zig Zag run, Sit and reach, Shot Put throw and 50 Meter Sprint- was used to collect the required data. The collected data were analyzed by using descriptive and inferential statistics. The 0.5 level significance was fixed to find the significance difference between the rural and urban obese students. The results indicated that in cardio respiratory endurance, agility, flexibility, power and speed rural obese students were significantly different from urban obese students.

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Key Words: Physical Fitness, Male collegiate students, Urban, Rural

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Creative Commons Attribution 4.0 and The Open Definition

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One of the most troublesome parts of coordinating an excursion is choosing where to go in view of the data that is all open on the web and through different sources. It's an issue that past the travel industry Proposal Framework have endeavored to address. The functional and convenience parts of the undertaking, as well as a portion of the more specialized ones, like exactness of the framework, have both had been disregarded. To take care of this issue, a total comprehension of travelers' navigation and new plans empowering their data search is required. A creative human focused the travel industry Suggestion Framework is proposed in this exploration to help voyagers in another city in picking what to see and do. A certifiable informational index is utilized for both expert and functional contemplations. To restrict the quantity of contributions to the framework, the framework is developed using two-steps include choice procedure, and ideas are given utilizing Count Vectorizer and Tfidf Vectorizer Trial proof shows that the monetary the travel industry Proposal Framework can offer vacationer puts that are custom-made to the inclinations of the clients.

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Creative Commons Attribution 4.0 and The Open Definition

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Personalized recommendations, Machine learning algorithms, Travel Planning and User feedback services.

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Creative Commons Attribution 4.0 and The Open Definition

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Obesity is becoming a major issue in everyone's life, In order to control this, one must ensure balanced diet, Intake of healthy food and consuming standard amount of calories per day is mandatory. So that food Recognition and Calorie Estimation are extremely important for overall well-being. This system, which allows end users to upload the food image and displays the estimated calories also nutrient values of that food image. The food Recognition is done by using Convolutional Neural Network (CNN) Model i.e. MobilenetV2. This is a user friendly system, where users can easily interact through the web browser.

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Creative Commons Attribution 4.0 and The Open Definition

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Food Recognition, Calorie Estimation, CNN, MobileNetV2, Deep Learning, NLP

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Creative Commons Attribution 4.0 and The Open Definition

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Language is one of the most fundamental aspects of human communication and plays a crucial role in expressing thoughts, ideas, and emotions. For students, mastering language skills is essential not only for academic success but also for effective communication in various aspects of life. Students need strong language skills to comprehend textbooks, write essays, participate in class discussions, and communicate their understanding of various subjects. Several teachers in India face numerous challenges when it comes to developing language skills in a traditional classroom setup. Art integrated learning, as advocated by the National Education Policy (NEP) 2020, holds immense significance in enhancing students' understanding of concepts across various subjects. This approach recognizes the inherent link between art and cognition, acknowledging that artistic expression can deepen comprehension and foster holistic learning experiences. Art integrated learning has the ability to make abstract concepts more tangible and relatable for the learner. By incorporating art into education, educators can create more engaging, meaningful, and transformative learning environments for students. The researcher conducted a study to gather evidence with these recommendations in mind in teaching topics from Social Studies. The researcher developed a Spontaneous Art Integrated Learning (SAIL) module which proved to be effective by enhancing learning experiences and also improving language skills of the students. The paper throws light on the methodology of the research & its findings.

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Creative Commons Attribution 4.0 and The Open Definition

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Language Skills, spontaneous Art Integrated learning

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Copyright is a multifaceted legal concept that plays a fundamental role in safeguarding the rights of creators and balancing them with the public interest. This equilibrium is achieved by granting creators exclusive control over their intellectual and artistic works while allowing for specific exceptions and limitations, particularly in the context of educational and scientific endeavors. The time has come to reaffirm the integrity of copyright, which has faced divisive debates in recent years. It is essential to recognize that protecting both creators and consumers of creative works ultimately serves the public interest. This research paper gives an overview into the intricate relationship between creators' interests and the broader public interest, with a specific focus on exceptions to copyright infringement and fair use for educational purposes. It investigates the evolving landscape of copyright exceptions and assesses their current impact. The research problem revolves around the need to attain a balance between copyright protection and the principles of "access" in its various forms. The study examines the evolving nature of copyright exceptions, especially in the realm of educational use, and their implications. It seeks to unravel the complexities arising from the interaction between copyright and other fundamental rights such as privacy, free expression, cultural diversity, cultural development, the right to access information, the right to education, and the emerging right to development. These rights introduce additional layers of complexity and necessitate a delicate equilibrium within the realm of intellectual property protection. Further, this study emphasizes the need to reassess and gain a deeper comprehension of the intricate dimensions of copyright law and its relationship with the wider legal context. It urges for cooperative initiatives aimed at creating well-defined principles and guidelines that both safeguard creators and facilitate education, research, and knowledge accessibility. This collective effort ensures that copyright remains true to its essential purpose of nurturing creativity and the dissemination of knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

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Copyright, Infringement, Fair dealings, Statutory-exceptions, Educational use

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Creative Commons Attribution 4.0 and The Open Definition

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The impact of globalization on national economies has been a subject of extensive research and debate. This research paper focuses on analyzing the specific effects of globalization on India's foreign exchange reserves and its overall economic stability. Over the past few decades, India has undergone significant economic liberalization and integration into the global economy, leading to both opportunities and challenges.

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Creative Commons Attribution 4.0 and The Open Definition

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Impact of Globalization on Foreign Exchange Reserves and Economic Stability in India

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper introduces a cutting-edge healthcare chatbot that harnesses the synergy of Llama2, Faiss, and Hugging Face embeddings to optimize responses to intricate medical inquiries. Leveraging a meticulously curated training corpus of medical literature, this chatbot significantly augments its semantic understanding and responsiveness. The integration of Llama2 bolsters the chatbot's contextual comprehension, while Faiss enables expedited, similarity-based information retrieval from an extensive library of medical texts. Hugging Face embed-dings facilitate contextually coherent response generation. The results affirm substantial enhancements in the chatbot's efficacy in delivering technically informed and contextually precise medical responses. This promising innovation offers a powerful tool for disseminating validated medical knowledge, serving as an invaluable resource for healthcare professionals and patients alike.

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Creative Commons Attribution 4.0 and The Open Definition

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Healthcare Chatbot, Llama2, Faiss

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition