Volume 13 | Issue 4 |

 Abstract

Setting up your own Ethereum wallet is straightforward using the official MyEtherWallet service. Here's a streamlined guide to get you started: When you visit the MyEtherWallet site, you'll first encounter important security notices. These deserve your careful attention as they provide crucial information about protecting your digital assets and understanding fundamental wallet operations. After reviewing the security information, you'll be prompted to establish a new wallet by creating a strong password. Following this step, you'll have the opportunity to download a keystore file - a security measure worth taking advantage of. Store this file in a secure location for safekeeping. The most critical part of the process is securing your private key. Take multiple precautions with this information: create backups, commit it to memory, record it physically and store it somewhere highly secure like a safety deposit box. These steps are essential to prevent both loss and unauthorized access. To access your wallet, you can either enter your private key or upload your keystore file. While other access methods exist, these two approaches are particularly suitable for newcomers to cryptocurrency wallets.

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 Keywords

Ethereum virtual machine, Decentralized finance, Smart Contract, CryptoKitties

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Creative Commons Attribution 4.0 and The Open Definition

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The Online test material providers should concentrate on developing strong assessment questions and giving students timely feedback on their exams. Within the article, we offer methods related to the components of the evaluation procedure: submitting responses, using automated grading, and providing comments following submission. The coordination of people, goods, and computers in a modern company becomes crucial as these days' companies are automated and computers follow instructions. Through this project, the system can be communicated with by the administrators, the instructor, and the students taking the online exam. This allows for the efficient implementation and monitoring of the various activities associated with online exams, such as scheduling exams and sending results to the individual user or student. Students who attempted the online exam have their information kept on file by the administrator.

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 Keywords

User-Friendly Assessment Systems, Education, Online Exam System, Educational Institutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Insomnia is a primary cause of sleep interruptions. It is a frequent sleep problem in those who are suffering from depression. Antidepressants are routinely used to treat insomnia, although their efficacy is low. Materials and methods :- A cross-section observation study was performed to get appropriate management for insomnia . A total of 279 patients were recruited in this study. Data were collected through clinical assessments, patient-reported sleep patterns, medication adherence, and treatment outcomes. The study also analyzed the role of non-pharmacological interventions such as cognitive behavioral therapy (CBT-I), circadian rhythm-based therapies, and lifestyle modifications in improving sleep quality. Results :- Some of their techniques include integrating treatment with cognitive behavioural therapy, treating based on circadian rhythms, identifying a new mechanism via the the hormone orexin system, sleep-specific treatments, and environmental and lifestyle factors. Research suggests that using sedative-hypnotic drugs as a supplemental therapy for insomnia may diminish patient adherence to recommended dosages. These novel approaches have the potential to enhance both patient satisfaction and treatment outcomes for sleep disorders. hence this study, gives a clear review on antidepressants in treatment of insomnia providing valuable information for physician's, researchers, and policymakers. Conclusion :- This review gives clear insights into novel methods to antidepressant-assisted insomnia management. Emerging research on sleep interventions continues to explore innovative treatments to help individuals achieve restorative sleep. By rigorously analysing the influence of various drugs on sleep quality, side effects, and patient outcomes, this project will address crucial gaps in sleep medicine research. As ongoing research continues to explore innovative therapies, rigorous evaluation of drug efficacy, patient adherence, side effects, and treatment outcomes will be essential in closing critical gaps in sleep medicine. This study serves as a foundation for future research and clinical recommendations, providing useful guidance for physicians, researchers, and policymakers in optimizing the management of insomnia.

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 Keywords

CBT: - cognitive behavior therapy, REM: - Rapid Eye Movement. GABA: - Gamma-aminobutyric acid, 5HT - hydroxy tryptamine

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper suggests an interactive dashboard that uses deep learning methodologies to enhance the online classroom environment through student emotion analysis. The main challenge in digital learning is occluded or partially hidden facial data, for which CNNs and Haar cascade come into play. Haar cascade is responsible for facial feature detection and extraction by which CNNs can classify emotions. Real-time emotion prediction is visualized on the interactive dashboard, combining inputs such as the subject, course, and instructor. Analytics on the dashboards are represented in charts and graphs and help inform teachers about student responses and how they should tweak their teaching to better engage students. It also assists in identifying students who may require extra support. The system was validated on the CK+ dataset and was found to be highly accurate in classifying emotions such as happiness, sadness, and surprise. Other than the occasional instances in which students' faces were not visible, the system proved to be robust and consistent. With real-time emotion-based feedback, this dashboard has transformed the dynamics of a virtual classroom into one that fosters adaptive and engaging learning, promoting the optimum achievement of educational objectives.

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 Keywords

Convolutional Neural Networks (CNN), emotion analysis, online learning, interactive dashboard, facial expression recognition, student engagement, deep learning, real-time analytics, virtual classroom, dataset, teaching strategies, personalized learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research presents an IoT-based safety and alert system utilizing the ESP32 microcontroller to enhance vehicular safety and real-time monitoring. The system integrates various sensors to detect environmental and driver-related conditions. An alcohol sensor detects intoxication, while a DHT11 sensor monitors temperature and humidity. Ultrasonic and IR sensors enable obstacle and proximity detection, and a flame sensor alerts for fire hazards. Mobility is handled via BO wheels and DC motors controlled by a motor driver, with a buzzer providing instant audio alerts. A vision-based module detects driver drowsiness, triggering a Telegram chatbot alert with an audio message: "You are in drowsiness." In case of accidents, the system notifies emergency services through the chatbot. Critically, when any unsafe condition--such as alcohol consumption, drowsiness, or accident--is detected, the vehicle stops automatically to prevent further risk. This system demonstrates a robust combination of embedded systems, automation, and wireless communication for improved road safety and driver assistance.

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 Keywords

ESP 32 microcontroller, Road Safety, Accident Prevention, Drowsiness Detection, Alcohol Detection, Automatic Braking System, Emergency Alert System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AatmBodh Ev Tatvabodh Sadhna Ka Swaroop Ev Prakriya - Ek Vivechan

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AatmBodh Ev Tatvabodh Sadhna Ka Swaroop Ev Prakriya - Ek Vivechan

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 Abstract

The stock market plays a crucial role in a country's financial growth, but it is also highly dynamic and unpredictable. It can be influenced rapidly by various factors such as political developments, investor sentiment, media reports, company restructuring, and growth strategies. Every trading day, thousands of investors participate in the stock market--some gain profits, while others incur losses. However, predicting these gains or losses on any given day remains a significant challenge. This research presents a web-based application developed for predicting stock market trends through the implementation of machine learning techniques. The system integrates both historical stock data and real-time data obtained from APIs, and employs three robust predictive models--ARIMA (Auto Regressive Integrated Moving Average), LSTM (Long Short-Term Memory), and Linear Regression. These models are utilized to forecast the closing price for the next trading day, as well as to provide projections for the subsequent seven days. By analyzing historical patterns and trends in the data, the models aim to extrapolate future price movements with improved precision. The integration of numerical data analysis significantly enhances the overall accuracy and reliability of the stock price predictions generated by the system.

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 Keywords

Stock Market, ARIMA, LSTM, Linear Regression, Web Interface

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's online shopping world, many companies use AI powered chatbots to help customers. These chatbots are computer programs that talk to people like a human through text or voice. This research paper talks about how these chatbots are changing the shopping experience in online shopping. The study's primary objective is to understand if customers feel satisfied when they use these chatbots and if chatbots really help them while shopping. The paper starts with the background of AI and chatbot use in online stores. Then, it looks at past studies done by other researchers on this topic. Many of these studies say that chatbots help users by giving fast replies, helping them find products and giving 24/7 support. But there are also some problems. Sometimes, customers feel that chatbots are not personal and they don't always understand what the user wants. This research also explains the gap between what we know and what still needs to be explored. It shows the objectives, methods used and presents results based on collected data and past sources. The discussion tells how these findings match or differ from earlier research. The final part gives a conclusion and says that while chatbots are useful and improve customer experience in many ways, there is still a need to make them more human-like and smart. The paper also gives suggestions to improve chatbot use in online shopping.

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 Keywords

Artificial Intelligence, Natural Language Processing, Frequently Asked Questions, User Interface, User Experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Medicinal plants have played an essential role in healthcare systems across the world for centuries, serving as the foundation of both traditional and modern medicine.(1) Among these, Curcuma longa (commonly known as turmeric) and Carica papaya (papaya) have emerged as two highly regarded botanicals due to their rich phytochemical profiles and broad spectrum of pharmacological activities. This review explores the therapeutic potential of these two plants by examining their phytochemical constituents, mechanisms of action, and evidence-based pharmacological properties. The aim is to bridge the gap between traditional knowledge and scientific validation, providing a comprehensive understanding of their medicinal relevance. Curcuma longa, a rhizomatous herb of the Zingiberaceae family, is native to South and Southeast Asia and is widely cultivated for its culinary, cosmetic, and medicinal properties. Its key bioactive constituent, curcumin, along with demethoxycurcumin and bisdemethoxycurcumin, are collectively referred to as curcuminoids. These compounds have been extensively studied for their potent anti-inflammatory, antioxidant, antimicrobial, and anticancer effects. Curcumin, in particular, acts by inhibiting nuclear factor-kappa B (NF-?B), downregulating pro-inflammatory cytokines, and scavenging reactive oxygen species (ROS).(2) Despite its promising therapeutic efficacy, curcumin's clinical utility is limited by its low bioavailability, leading to research into improved delivery systems and synthetic analogues.(3) Carica papaya, a fast-growing tropical plant belonging to the Caricaceae family, is commonly cultivated in tropical and subtropical regions for its nutritional and medicinal value. Various parts of the plant--including the fruit, seeds, leaves, and latex--have been used in traditional medicine to treat conditions such as digestive issues, fever, skin infections, and inflammatory diseases.(4) The primary bioactive compounds in papaya include papain, chymopapain, carpaine, flavonoids (such as quercetin and kaempferol), phenolic acids, and carotenoids (like lycopene and ?-carotene). These compounds exert antioxidant, antiviral, immunomodulatory, antidiabetic, and anticancer effects through multiple mechanisms, including free radical scavenging, inhibition of lipid peroxidation, and modulation of immune responses.(5) This review compares the mechanisms of action of the antioxidant properties of both plants. Curcuma longa primarily enhances the body's endogenous antioxidant defence by upregulating enzymes like superoxide dismutase (SOD), catalase, and glutathione peroxidase (GPx), and by chelating metal ions that catalyse free radical production. In contrast, Carica papaya offers a wide range of direct antioxidant activities through its vitamins and carotenoids, which protect cellular structures such as DNA, lipids, and proteins from oxidative stress. The identification and authentication of both plants are critical in ensuring quality control in medicinal applications. Techniques such as morphological and microscopic analysis, phytochemical screening, and molecular authentication

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 Keywords

Curcumin, Carica papaya, morphological, microscopic, phytochemical, antioxidant, Medicinal.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

- Traditional manual sorting in industrial settings often suffers from inefficiency, high labor requirements, and error-proneness. This study introduces an automated sorting system utilizing a PLC with integrated metal detection to tackle these issues. The system's core is an S-TRONiX 8 I/O PLC, offering a dependable foundation for effective process management. A LX 101 color sensor is incorporated for product sorting based on color, while a metal detector sensor differentiates between metallic and non-metallic items. This combined sorting approach enhances accuracy in handling diverse materials across production lines.The setup includes three actuators driven by RDS 3115MG servo motors, which accurately direct objects to specific bins. A 30 RPM DC geared motor powers the conveyor system, ensuring steady object transport. An L298N motor drive efficiently controls motor functions, and an SMPS provides consistent power to the system's electrical components. NO/NC push buttons allow for secure manual control of the sorting process.The system follows a structured control protocol: objects on the conveyor are first assessed by the metal sensor. Metallic items are redirected to a dedicated container, while non-metallic objects move on to color detection. The LX 101 sensor identifies object colors, triggering the appropriate actuator to sort products into designated bins. This streamlined approach boosts sorting efficiency, minimizes human involvement, and improves production precision.By integrating metal detection and color sorting into a single framework, the proposed system shows marked improvements over conventional sorting methods. It is particularly suited for industries requiring precise material segregation, such as recycling facilities, food processing plants, and packaging sectors. Future enhancements may incorporate advanced sensors for size or weight-based sorting, further expanding the system's adaptability in industrial applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

PLC, Color Sensor, Automation, Servo Motors, Sorting System, Metal

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Creative Commons Attribution 4.0 and The Open Definition