Volume 12 | Issue 5 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wine Quality, Machine Learning, Random Forest, Prediction, Chemical Properties

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Drug misuse in young people is a serious issue that has a big impact on their health and wellbeing. This research study tells how drugs affect youngsters using machine learning approaches. To better understand the fundamental causes of young drug abuse, we will analyze big datasets that include data on drug consumption patterns, demographics. We want to know which risk factors are associated with drug use so that we may develop predictive models to aid in early detection and treatment. We will be able to offer insights on preventive measures and support networks by analysing a variety of characteristics, like age, gender, socioeconomic status, peer pressure, and mental health. This research contributes to the continuous efforts to improve youngster's health and wellbeing and to battle drug addiction in youth as well as society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Drug consumption, youth, machine learning, predictive models, and prevention of substance misuse.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Understanding weather conditions plays a pivotal role in our daily lives, influencing a wide range of decisions from outdoor activities to disaster preparedness. Effective weather visualization not only aids in comprehending complex meteorological phenomena but also enhances our ability to adapt to changing environmental conditions. Augmented Reality (AR) technology has transformed how users perceive and interact with information in the environment. We aim to present the weather conditions more descriptively and interactively using AR. In this paper, we present a novel application of AR for visualizing real-time weather conditions at the user's location. The live weather data from OpenWeatherMap API is integrated into Unity 3D using C# script. The AR scene dynamically adapts to changing weather conditions, providing users with an immersive experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality, Weather Visualization, Open Weather Map API, Unity 3D, C# script

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project focuses on developing an automated bird species identification system using audio signal processing and machine learning techniques. By harnessing a dataset of bird vocalizations, the project aims to train a model capable of accurately classifying bird species based on their vocalizations. This involves extracting relevant features from audio recordings, such as Mel-Frequency Cepstral Coefficients (MFCCs), to represent the unique characteristics of each bird species' vocalizations. These features are then used to train an Artificial Neural Network (ANN) model, enabling it to learn and recognize patterns in the audio data. Once trained, the model is integrated into a web application interface, allowing users to upload audio recordings and receive predictions of the bird species present. This system provides a practical tool for researchers and conservationists to quickly and accurately identify bird species in the field, aiding in ecological research and conservation efforts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automated bird species identification, audio signal processing, machine learning, Mel-Frequency Cepstral Coefficients (MFCCs), Artificial Neural Network (ANN), web application interface, conservation, ecological research, bird vocalizations, dataset, classification, pattern recognition, researchers, conservationists.

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The pharmaceutical sector is not an exception to how quickly artificial intelligence (AI) is changing other industries. AI is being used more and more in the pharmaceutical sector to automate, improve, and personalize processes ranging from medication administration to drug development. This review focus on how AI is being used in drug discovery, Health care system, etc. We will also talk about the benefits and drawbacks of artificial intelligence in the pharmacy sector. The new AI pharmacy system automates repetitive operations, offers individualized treatment plans, lowers costs, and improves patient outcomes while replacing the outdated manual processes and human decision-making of the previous pharmacy system. But it's crucial to make sure AI is applied morally and sensibly and that its effects on society and the workforce are properly taken into account. The primary advantage of incorporating artificial intelligence (AI) into certain pharmacy applications is increased precision and effectiveness in patient treatment. All things considered, this paper will provide some insight into the pharmacy industry's future and the revolutionary potential of artificial intelligence in this sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence; Future of Pharmacy; Milestones in AI; Drug Discovery; Health Care System; Advantages and Disadvantages of AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a novel approach for cancer prediction leveraging machine learning techniques integrated with a conversational chatbot interface. The proposed system harnesses the power of machine learning algorithms to analyze diverse patient data including genetic information, medical history, lifestyle factors, and demographic details to predict the likelihood of developing various types of cancer. Moreover, the integration of a chatbot interface enables seamless interaction between the system and users, facilitating personalized consultations, symptom assessments, and risk factor evaluations. By combining advanced predictive analytics with intuitive user interaction, this system aims to enhance early detection and preventive measures for cancer, ultimately improving patient outcomes and healthcare efficiency.

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 Keywords

EfficientNet, cancer classification, brain tumors, lung cancer, high accuracy, precision, recall, F1 scores, state-of-the-art, clinical practice, early detection, treatment outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A vital component of the human body, hair shields the scalp. After shampooing, hair conditioner is a hair care product that is applied to the hair and hair tips to condition the hair before being rinsed out. Hair conditioner is used to make hair easier to manage and seem more glossy. Its primary goal is to lessen friction between hair strands to make combing and brushing simpler. The primary goal is to create the hair care product that is most successful in meeting people's needs and to assess the finished product to determine its intended impact on the user. The majority of hair repair and conditioning solutions on the market today work by coating hair fibber's with intricate formulas made of macromolecule and surfactant mixes. This causes the damaged portions in the outermost region of the capillary fibbers to partially cover. This reduces friction between the fibber's, making them easier to manage and more hydrated. A thorough analysis of the various physicochemical factors connected to the conditioning process, such as the deposits' thickness, water content, topography, or frictional qualities, is necessary for optimizing shampoo and conditioner formulations. The several physicochemical factors that affect our comprehension of the most basic underpinnings of the conditioning process are covered in this review. Herbal conditioners contain fenugreek, curry leaves, and mint leaves as their key constituents. Based on physicochemical parameters like stability studies and efficiency, it was assessed and examined. Changing customer expectations and emphasizing safety and efficacy would be part of a more radical strategy to popularize herbal conditioners. Producing herbal hair conditioners is the goal. In comparison to synthetic conditioners, all herbal conditioners showed equivalent solids percentage, high viscosity, steady lather, pH within the allowed range, and good wetting qualities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal Conditioner, Fenugreek, Nourishing , Efficiency.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is the most important sector of Indian Economy. Indian agriculture sector accounts for 18 percent of India's GDP and provides employment to 50% of the country's workforce. But latest studies have shown a steady decline in the contribution made by agriculture to the Indian economy although it is demographically the broadest economic sector and plays a significant role in the overall socio-economic fabric of India. This project explores the integration of Internet of Things (IoT) and Artificial Intelligence (AI) with a focus on Machine Learning (ML) to implement smart cultivation practices for Carnation Flowers. Through the deployment of sensor networks and IoT devices, real-time data on environmental conditions, soil moisture, and plant health are collected. The collected data is then processed using advanced AI and ML algorithms to provide predictive analytics, enabling precision cultivation strategies and proactive disease management. The synergy of IoT and AIML in Carnation Flower cultivation offers an intelligent and automated framework that enhances yield quality, optimizes resource utilization, and promotes sustainable and efficient farming practices.

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 Keywords

IOT, ML, Agriculture, Carnation cultivation, CNN, python.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advantages of yoga asanas and exercise for physical and mental health are available to people of all ages. To prevent any damage to the bones, muscles, and ligaments, yoga and other gym exercises, postures must be executed correctly, especially when done without an instructor. So, even without a human instructor, the use of artificial intelligence and machine learning combined with picture processing will aid to provide feedback to the performance. With the help of Tensorflow, MoveNet and MediaPipe, this study provides a technique for real-time posture estimation that identifies pose issues and lets users fix them.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence, Machine Learning, CNN, Tensorflow, MediaPipe, MoveNet, yoga, gym.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Smart health is a new revolution in health industry where information and technology are integrated to improve patient outcomes. The goal of smart health care system is to integrate innovative technologies such as the Internet of Health Things (IoHT), medical Cyber-Physical Systems (medical CPS), health cloud, health fog, big data analytics, machine learning, blockchain, and smart algorithms to deliver improved, value-added and cost-effective healthcare services and enhance the effectiveness and efficiency. The Internet of Things (IoT) can be described as network of physical objects that are embedded with sensors, software, and other technologies that interact and communicate with each other. The branch of IoT termed as Healthcare Internet of Things (H-IoT) is dedicated towards medical science for rapid automation of the healthcare sector. Due to the large amount of complex heterogenous data involved in healthcare there is need for the integration of machine learning (ML) algorithms into IoT to enhance the performance of system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, IoHT, Machine Learning, Smart Health, sensors.

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Creative Commons Attribution 4.0 and The Open Definition