Volume 12 | Issue 4 |

 Abstract

Pioneering breakthroughs in robotics, we introduce an advanced all-terrain automaton. This sophisticated machine is equipped with cutting-edge track-based locomotion, enabling it to navigate diverse landscapes, including steep inclines of up to 40 degrees. With ultrasonic sensors for autonomous navigation and adept obstacle avoidance, it also carries essential survival gear for emergencies. In agricultural settings, the automaton serves as a diligent assistant, managing irrigation schedules, detecting wildlife, and identifying intruders using motion-capture webcams. In industrial environments, it enhances safety by monitoring conditions with visual sensors and issuing alerts via gas detectors during emergencies. Moreover, it seamlessly integrates with ChatGPT for smooth communication, employing auditory sensors for input and speakers for informative alerts and entertainment. Proficient in facial recognition, object identification, hand movement detection, body posture analysis, and weather forecasting, it can be controlled through a custom mobile interface equipped with a control panel. This automaton represents a significant leap forward in robotics, with wide-ranging applications across various sectors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Track based locomotion, safety, monitoring, sensors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes mellitus, a global health concern, not only affects glucose metabolism but also poses significant risks to cardiovascular health. This review comprehensively examines the intricate relationship between diabetes and cardiac complications, elucidating the underlying mechanisms, exploring the diverse spectrum of adverse effects on the heart, and discussing strategies for prevention and management. Understanding these complexities is crucial for clinicians and researchers alike in the pursuit of mitigating the burden of diabetes-related heart disease. Furthermore, this review examines the multifaceted nature of diabetes-related cardiac complications, considering not only the traditional risk factors but also emerging factors such as inflammation, oxidative stress, and endothelial dysfunction. By elucidating these complex mechanisms, it provides insights into potential therapeutic targets for mitigating cardiovascular risks in individuals with diabetes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetes mellitus, cardiovascular complications, heart disease, pathophysiology, management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our project aims to implement object detection using the YOLO (You Only Look Once) algorithm, facilitating real-time detection of specified objects from both camera feeds and images. Object detection is a crucial task in computer vision with numerous applications ranging from surveillance to autonomous vehicles. YOLO is known for its efficiency in processing speed while maintaining high accuracy. The project involves training the YOLO model on a dataset containing annotated images of target objects. These objects may include commonly encountered items like cars, persons, and more, depending on the project's scope. Once trained, the model can identify and localize these objects within an image and camara. The implementation includes a user-friendly interface that allows users to input live camera feeds or static images for object detection. The system provides realtime feedback on detected objects, including their class labels and bounding box coordinates. Additionally, the accuracy of detection is displayed, giving users confidence in the reliability of the results. Overall, this project demonstrates the practical application of machine learning techniques, specifically the YOLO algorithm, in real-world scenarios where fast and accurate object detection is essential. The system's ability to operate in real-time makes it suitable for various applications, including surveillance, traffic monitoring, and object tracking.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Object Detection, Machine Learning, YOLO Algorithm etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the effectiveness of e-commerce in lowering operating expenses for firms, as well as its effects on customer happiness. The study investigates the impact of e-commerce in cost reduction across diverse industries and analyzes its effectiveness in improving operational efficiency using a comprehensive literature review and empirical analysis. The research uses both primary and secondary data collection approaches, such as surveys and literature reviews. The findings show that e-commerce adoption reduces operating costs and provides considerable benefits to firms, such as higher productivity, decreased transactional charges, and increased customer satisfaction. However, obstacles such as data quality issues, methodological limits, and changing technical trends have been noted as potential barriers to attaining e-commerce's full cost reduction potential.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce, efficiency, cost reduction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A study was conducted to investigate the prevalence of diabetes among individuals in countries such as India and abroad. The research focused on examining the traditional approach to measuring blood sugar levels. In order to address the challenges and complexities associated with this process, a novel non-invasive method for blood sugar measurement is suggested in this research paper. However, the development of reliable non-invasive blood sugar measurement devices faces significant challenges. Interference from other substances in the body, variability in skin properties, and the need for calibration against traditional blood tests are key hurdles that must be overcome. Additionally, the accuracy and reliability of non-invasive methods must be rigorously validated against invasive techniques to ensure clinical utility and regulatory approval. This review provides an overview of current non-invasive and invasive methods of blood sugar measurement, highlighting their respective advantages, limitations, and future prospects. While non-invasive techniques hold great promise for improving patient care and quality of life.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-invasive, Invasive, Diabetes, Sensors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents a Python-based solution for detecting illegal phishing attempts through email and URL analysis. The system employs two primary detection mechanisms: email content analysis and URL scanning. Leveraging machine learning algorithms and natural language processing techniques, the email analysis module identifies suspicious patterns, malicious links, and deceptive content within incoming messages. Concurrently, the URL detection component scrutinizes web addresses for signs of phishing activity, such as deceptive domain names and suspicious redirections. The integration of these two detection methods offers a comprehensive approach to identifying and mitigating phishing threats. Keywords: Phishing Detection, Python, Email Analysis, URL Scanning, Machine Learning, Natural Language Processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

machine learning, data mining, phishing URL, classification, binary classification problem, phishing detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this paper is to create and assess a herbal face pack that works for glowing skin using natural components in different amounts like multanimitti, turmeric, aloe-vera, sandal wood, orange peel, rose petals, and saffron etc. Because of their extremely low adverse effects, ayurvedic formulations are safer than synthetic ones. A few important parameters, including organoleptic, phytochemical, physicochemical, and physical characteristics, are used to evaluate this manufactured product. Herbal face packs are primarily used to reduce dark circles, acne, and scars by promoting and maintaining blood circulation, revitalizing the skin, and clearing debris from pores.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal face pack, glowing skin, Natural ingredients, ayurvedic formulation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In pharmaceutical formulation two main ingredients are required which is API and excipient. And excipient contains many components which plays vital role in manufacturing of dosage form as well as improve pharmaceutical parameters of the dosage form. Polymers used in any dosage form as excipient. Polymers have influencing capacity towards drug release and should be compatible, stable, non-toxic and economic etc. Generally, polymers are classified into three categories i.e natural, semi-synthetic and synthetic polymers. Nowadays, many pharmaceutical companies inclined towards using natural polymers due to many problems created with drug release and side effects. Polymers plays various application in formulation as excipient like to provide uniform drug delivery, rate controlling agent, taste masking agent, protective and stabilizing agents, etc. So that this review discuss about various natural polymers, there advantages over synthetic polymers and role of polymers in designing drug delivery system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Polymer; Sustained Release; Dosage Forms; Plastic and Elastomers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Any non-toxic dietary ingredient with scientifically demonstrated health advantages, such as illness prevention and treatment, is referred to as a nutraceutical. To conquer issues pertaining to women, such as PCOS, and men, such as health issues relating to the prostate, etc. A nutriseed bar contains seeds such as fenugreek, sunflower, flax seed, and others. It is made using the seed cycling phenomenon and is said to be beneficial for menstrual issues. Our goal is to concentrate on both male and female reproductive health maintenance and diseases. Infertility, PCOS, and PMS symptoms in women. Infertility, testosterone levels, male erectile dysfunction, and prostate health.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keyword: Neutraceuticals, Neutriseed, Seed Cycling, Seeds, Menstrual dysfunction, Harmonal inbalance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the financial resilience of Logistics Company, a prominent player in the logistics company. Financial resilience is a critical aspect of a company's ability to withstand and recover from economic shocks, disruptions, and unforeseen events. In this project, we aim to analyze various financial indicators and metrics to assess Logistics company' capacity to navigate through challenging times and sustain its operations effectively .The research employs a mixed-methods approach, combining quantitative analysis of financial statements and ratios with qualitative insights from interviews with key stakeholders within the organization. By delving into factors such as liquidity, solvency, profitability, and risk management strategies, we seek to provide a comprehensive evaluation of Logistics Company' financial resilience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Resilience,Economic shocks, ability

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Creative Commons Attribution 4.0 and The Open Definition