Volume 11 | Issue 4 |

 Abstract

Everyone wants the best from the restaurants like food, ambiance, service, food price, etc. To know about the best restaurant, people have to spend time on it, and they have to read all the data on the internet to avoid this problem our system helps to know which restaurant is best by predicting all the positive and negative reviews from the restaurant customers. The existing solution was that for restaurant reviews most of the machine learning algorithms will take only numerical data that was for example of rating 1-5 where the people should understand one as poor two rating as worst 3 rating as average and four rating as good 5 rating as best but with this customer who are viewing the reviews have to analyse the things around that. In the proposed solution it will calculate an overall rating for the collected text reviews, by using optimal algorithms, so that the people will get an idea of which restaurants suit them. Based on their satisfaction levels the customers will give ratings for the restaurants, and this can be done by Natural Language Processing Techniques.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text reviews, formatting, style, stop words, text words recognization , insert .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The transformation of cities into smart cities is being done these days. Smart city initiatives responding to environmental problems such as air pollution ensure clean air. This paper introduces an automatic air quality monitoring system that monitors environmental conditions in real time. This proposed system is based on IoT technology and embedded systems. This system also includes electronic devices such as sensors to sense the environmental conditions and the Arduino Uno board for the system's performance. A LoRa module is introduced in this system for communication over long ranges. The communication modules such as Bluetooth, Zigbee, and Wi-Fi also can be used but LoRa is introduced in this system to communicate at long ranges. Bluetooth, Zigbee, and Wi-Fi are tended to be used for short-range communications as compared with the LoRa module. This project is a LoRa-based smart city air quality monitoring system the main purpose of this system is to monitor smart city environmental conditions such as temperature, humidity, rain, and pressure, and detect light and pollutants in the air. The values of these environmental parameters are stored on a cloud server that uses the LoRa Gateway for communication. Data can be monitored by the user from the cloud server and values are displayed in the form of graphs or tables.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sensors, LoRa, Internet of things, Arduino.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the oldest systems of medicine in the world, ayurveda has contributed to the development of several substances with medicinal benefits. Limonia Acidissima also has several medical and nutritional benefits. The monotypic genus Limonia (also known as Feronia elephantum, Hesperethusa crenulata, Feronia limonia, and Schinus limonia) is a member of the Rutaceae family of citrus plants. In India, Limonia Acidissima is also known as kaitha, kavit, elephant apple, curd fruit, monkey fruit, and wood apple. The leaves, bark, roots, and fruits are widely used in medicine. They are also frequently used to treat peptic ulcers, chronic diarrhea, and dysentery, among other conditions. Anthelmintic activity of different extracts of Limonia Acidissima leaves were evaluated against Indian earthworm. Various concentrations of the extracts were bioassay for the determination of time of paralysis (p) and time of death (d) of the worm. Albendazole at a concentration of 20 mg/ml has been used as reference standard. In our present study, the crude pet. ether and ethanol extract demonstrated paralysis and also caused death of worms especially at the higher concentration (50 mg/ml). This study confirmed the use of plant leaves as an anthelmintic agent. The main focus of the current article is on the morphology, nutritional value, phytochemistry, and pharmacological activities of the many components of Limonia Acidissima, all of which have received little attention or use.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Limonia Acidissima, pharmacological action, Rutaceae, phytochemistry, nutraceuticals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fire presents significant threat to life due to its severe hazards and ability to spread rapidly. Fire poses a huge threat to human life. Fire detection systems, particularly alert based systems, identify flames before any loss or destruction occurs. In this model, we are trying to create a system which immediately alerts the user or client by generating a notification on android application and also prevent major damage to the property. The goal of the proposed system is to notify the remote user when a fire accident occurs. This system can be installed in any remote area where there is a risk of fire. Using this system, we can detect a fire by using a fire sensor. After detection of fire the NODEMCUESP8266 will be using the buzzer in order to alert the surroundings. To prevent major damage, the detector will detect flames caused by a fire accident and activate the water sprinkler, and also Air filter which filters the air which contains harmful gases released in a fire accident. And we will be using a Fan which eliminates the smoke with the help of air filter. The appliance system includes components such as a buzzer for alarming, displaying temperature, humidity and to put out the fire, we use motor pump which acts as a water sprinkler, we use DC Fan for removing air, we use Air filter for removing harmful gases formed in the accident.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nodemcu8266, buzzer, Air filter, DC Fan, Fire sensor, Android Application, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the last decade, sentiment analysis has been considerably applied in multitudinous disciplines, including business, social networks, and education. Particularly in the education sphere, where dealing with and recovering scholars' opinions is a complicated task due to the nature of the language used by scholars and the large volume of information, the operation of sentiment analysis is growing yet remains challenging. The present education system represents a terrain that is continuously amended by a massive amount of data that is generated daily in various formats and utmost constantly hides useful and precious information. The sentiment/ opinion opposition, which could either be positive, negative, or neutral, represents one's station towards a target reality. passions, on the other hand, are one's heartstrings expressed regarding a given content. Feedback is the statement transferred to reality about its formerly gist from which reality can anatomize the future and current behavior to achieve the awaited result. Feedback plays an important part in education and knowledge by helping to adopt new knowledge and help repeat mistakes. Sentiment analysis can be conducted at a word, judgment, or document position. still, due to many documents, manual handling of sentiments is inoperable. therefore, automatic data processing is demanded. Sentiment analysis from the text-predicated, judgment, or document-position corpora is employed using natural language processing (NLP). To know the exact sentiment of the scholars' textual feedback fashion is used. In this textual form, pupils are given a set of questions and they need to answer it in rulings. It is helpful to both the academic administration and the preceptor to overcome the issues related to their association. The end is to prize expressions of opinion and classify them as negative, positive, or neutral using machine knowledge ways

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student feedback, Text Analysis, Data mining, Sentiment classification, NLP, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this research is to implement ikat pattern in knitwear. Knits are often known for its many impressive qualities like its comfort, its low maintenance, it's wrinkle-resistant, and it's versatile and easy chic. So why knits can't be used as bridal garments. Ikat has not been brought in knits, the reason- Ikat technique is not possible and applicable in knitting because the resist dyed/tie and dyed yarns are brought to cone winding and arranged according to the cam settings, this may result in uneven or altered patterns of ikat during knitting. But Ikat patterns can be knitted using jacquard mechanism.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knitting, Knitwear, Ikat, Jacquard Knitting, Bridal Garments.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: A rising focus on the development of innovative drugs with various delivery methods to enhance patient care without compromising analgesic efficiency. While acute pain is a warning, chronic pain is a syndrome that calls for the long-term use of drugs with high bioavailability. This study discusses topical medications, such as anti-inflammatory medicines, anesthetics, and other physical delivery methods, for treating both acute and chronic pain. A key objective is a patient compliance with prescribed treatments, especially for chronic illnesses. Oral analgesics are often used to treat both acute and chronic pain. These substances do, however, usually have adverse, occasionally harmful, systemic effects. Topical analgesics can provide the same analgesic effects as oral analgesics with minimal adverse systemic effects. Topical analgesics can provide the same analgesic relief as oral analgesics with fewer side effects on the body. Creams have long been recognized as an essential part of cosmetic items and topical therapies due to how easy they are to apply to the skin and remove.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Topical Analgesics, Chronic Pain, Anesthetics, NSAIDS

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Creative Commons Attribution 4.0 and The Open Definition

 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

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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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

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine leaning, LSTM, Convolutional Neural Networks

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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

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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

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Creative Commons Attribution 4.0 and The Open Definition