Volume 11 | Issue 4 |

 Abstract

This research paper examines the purchase preference of consumers when dealing with multi-utility furniture rentals. The purpose of the research is to investigate the variables that affect consumer decisions to rent multi-utility furniture as well as the most popular varieties in India. The study uses a quantitative research approach, where data is collected through an online survey from a sample of 120 respondents who prefer renting multi-functional furniture. The study finds that affordability, flexibility, quality, and convenience are the primary factors that influence consumers' purchase preferences for multi-utility furniture rentals. Additionally, the study also identifies various challenges and opportunities that exist in the Indian market for multi-utility furniture rentals. The study emphasizes the significance of comprehending customer preferences and expectations to deliver better rental services and satisfy changing market demands in the Indian market. The research can help furniture rental businesses create efficient marketing plans and improve their offerings to better serve customers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multi-utility furniture rentals, Purchase preference, understanding evolving requirements

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As everything becomes increasingly digitised in this rapidly evolving world, exchanging information plays a crucial role in any work. However, sometimes we may not have access to a computer or other electronic device to create a document, and instead use pen and paper. Unfortunately, people may not be able to understand everything that is expressed on paper due to factors such as poor penmanship. To address this issue, we are developing a platform that can convert handwritten text into editable text. Our primary goal is to classify words directly and segment characters using a convolutional neural network (CNN). Long-term memory networks (LSTM) are also used to create bounding boxes for each character, which are divided and classified.Resulting neural networks can then be used for handwriting character recognition, allowing the platform to reconstruct each word in the handwritten text. This technology can be particularly useful in situations where people need to quickly share information, but don't have access to a computer or other electronic device. By converting handwritten notes into editable text, this platform makes it easier to read, edit, and share information, regardless of the format in which it was originally written.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine leaning, LSTM, Convolutional Neural Networks

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As everything becomes increasingly digitalized in this rapidly Human healthcare is one of society's most important issues. To ensure that patients receive the care they require as quickly as possible, it searches for the best diagnosis and thorough disease. Therefore, predicting diseases in their early stages is frequently a difficult undertaking. In order to do this, we would like to present a methodical viewpoint on the use of machine learning in the diagnosis of human diseases. Human Disease Detection using Machine Learning is a system that utilizes advanced algorithms and statistical models to predict diseases based in symptoms and other information entered by a user. The Disease Prediction system is built using Python Programming Language and incorporates a dataset from hospitals to train the Machine Learning model. The system utilizes Tkinter Interface, a Python module for creating graphical user interfaces, to provide a user-friendly and intuitive experience. Overall, the system is a valuable tool for the health care industry and individuals seeking to manage their health. It incorporates the fields of data mining, artificial intelligence, big data, and ML to make diagnoses, providing a cutting-edge approach to disease detection and prevention.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

As everything becomes increasingly digitalized in this rapidly Human healthcare is one of society's most important issues. To ensure that patients receive the care they require as quickly as possible, it searches for the best diagnosis and thorough disease. Therefore, predicting diseases in their early stages is frequently a difficult undertaking. In order to do this, we would like to present a methodical viewpoint on the use of machine learning in the diagnosis of human diseases. Human

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of Trademark and its similarities is dealt in detail in this article. The article briefly covers almost all the factors - definition of Trademark, uniqueness, registration, functions, similarity of trademarks and deceptive similarity in Trademarks. It also highlights the use of deceptive similar Trademarks that causes confusion in the minds of the consumer thereby damaging the reputation and financial loss to an individual/association or a company. A brief note on infringement and passing off is also dealt. The author has also discussed case laws for better understanding the concept of similarity in trademarks, infringement of trademarks, use of passing off and thus shows how the affected person can approach the court for justice and legal remedy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Similarity of Trademarks

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper discusses the Automated Recruitment Tool, which aims to support students from tier 3 universities in their preparation for internships and placements. It highlights that students who receive guidance from successful businesses feel more confident in their abilities than those who lack exposure and assistance. The proposal suggests a comprehensive platform that can assess students' coding profiles, determine their level, and provide resources to help them break into any organization. Additionally, the platform offers simulated mock interviews to enhance students' communication skills and boost their confidence. The initiative aims to help students get a head start in their career and provide them with the self-assurance they need to succeed in any organization. The authors of the paper are final-year students from the Electronics and Telecommunication division of Pune Institute of Information Technology, who are undertaking this project as part of their academic requirements.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Research Paper on Automated Recruitment Tool

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dusta Vrana is a common encountered problem faced in surgical practice. The presence of Dusta Vrana can damage the condition of the patient with different complications and may become fatal. The break/loss/rupture of continuity of body tissue or part of body is called vrana(wound). Chronic non healing ulcers are the undesirable outcome of delayed wound dealing influence by many factors. It can be seen in patients with diabetes, autoimmune condition and multiple primary skin conditions. In this study, we reported a case with wound caused by snake bite and surgery, acute inflammation caused by delayed wound healing and formation non healing ulcer. The patient inflammation relieved and stabilized with topical application of Vishyandana taila and Shamanaushadhis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dusta vrana, Non-Healing Ulcer, Snakebite, Vishyandana Taila.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Anthropological thought is focused on the study of human communication, which is regarded as the field's main discipline. It's believed that communication has been vital to human society for thousands of years. Other animals lack the communication skills that humans possess, such as the capacity to convey concepts like time and space as though they were tangible objects. A human is a social creature by nature. He lives within societies or gatherings, so he needs others to deal with him in order to understand and transfer information. And, to that end, man devised various means for himself, the best and most effective of which was "language" Communication and reporting. The human need for communication, as it is called in the tradition of the ancients, or communication as it is expressed in the modern term, is what created language. Humanity moved from one stage to another until it reached the level it is at today. There are six kinds of communication; viva voce, Non-verbal, written, Visual, listening and telepathy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Telepathy, communication, viva voce, Non-verbal, written, Visual, listening.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Predicting daily rainfall boosts agricultural output and ensures a consistent supply of food and water to maintain healthy populations. There have been a variety of studies to predict rainfall using data mining and machine learning approaches in various nations. The agriculture, which is the foundation of the nation's economy, is impacted by the country's uneven rainfall distribution. Planning and implementing the judicious use of rainfall water is necessary for the country in order to lessen the issue of the country's drought and flooding. This study's primary goal is to determine the pertinent atmospheric factors that contribute to precipitation and utilize artificial intelligence to forecast the daily amount of rain that will fall. The machine learning model's input variables were chosen using the Pearson correlation technique to be pertinent environmental factors. The root mean squared error and mean absolute error methodologies are used to assess the performance of the machine learning model. The Extreme Gradient Boosting machine learning technique outperforms competitors, according to the study's results. We accomplish this using the machine learning methods of Extreme Gradient Boost, Random Forest, and Multivariate Linear Regression.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rainfall Prediction, Machine Learning, Multivariate Linear Regression, Extreme Gradient Boost, Random forest.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

this paper see through that an Individuals and corporations should always acquire permission from the copyright owner before using or duplicating copyrighted content on the internet to avoid copyright infringement. They should also be familiar with the fair use doctrine, which permits for limited use of copyrighted works for purposes such as criticism, commentary, news reporting, teaching, scholarship, and research. It is crucial to emphasise that the fair use concept is not a blanket exception, and each usage must be assessed on an individual basis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

copyright law, copyright infringement, internet infringement, private use, anti-theft technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Energy consumption is on the rise all over the world. Owing to the rise in population and increasing Human Development Index (HDI), this trend is expected to carry on, resulting in increased global warming and fast depletion of fossil fuels. Hence, it is essential to reduce energy consumption, for which, energy conservation is needed. Energy audit is one of the process by which we can implement energy conservation. For this project, we are conducting an Energy Audit on "Prasol Chemicals", a chemical supplier industry at Khopoli. Our aim with this project can be divided into two segments, first is to reduce maximum load demand without affecting the production capacity of industry and second is to reduce losses occurring while transmission and consumption. We would recommend some changes in equipment, increasing maintenance and suggest some alternative energy sources, which would result in decreasing the yearly budget for the industry, increasing their profits, as well as decreasing the overall carbon footprint of the world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy audit, energy efficiency, energy conservation, Energy billing, Energy Saving.

  License

Creative Commons Attribution 4.0 and The Open Definition