Volume 13 | Issue 3 |

 Abstract

This paper presents the design, development, and performance evaluation of an Arduino-based Digital Light Processing (DLP) resin 3D printer, focusing on creating an affordable, open-source alternative to commercial resin printers. The system utilizes an Arduino Nano microcontroller to control a combination of UV LEDs and an LCD masking screen, enabling precise photopolymer resin curing. Key features include custom firmware for stepper motor control, optimized UV exposure techniques, and cost-effective hardware integration. Results from cutting edge experiments clearly show printers of unmatched quality and superior usefulness of materials with big cost savings that are huge. The study brings things to a close highlighting some really cool ways this thing could be put to use and proposing some awesome ways to mix things up and make that thing even better

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino Nano, Digital Light Processing (DLP), Resin 3D Printer, UV Curing, Open-Source Hardware, LCD Masking Technology, Stepper Motor Control.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conjunctiva is a translucent mucous membrane which lines the anterior aspect of eyeball and posterior surface of the eyelids where subconjunctival haemorrhage is small petechial haemorrhage to an extensive one spreading under the whole of bulbar conjunctiva, when a tiny blood vessel in the conjunctiva bursts on its own, resulting in a red patch on the sclera.1 Arjuna which comes under Shuklagata Roga. Arjuna shows symptoms Niruka-Shasharudhira-prakash Bindu (redness of eye without pain).2 Reviewing the clinical presentation from modern texts it is found that resembles with Subconjunctival haemorrhage. An ocular therapeutic called Bidalaka is the application of medicated paste on the eye's outer surface expect eyelashes.3 Bidalaka is indicated in inflammatory conditions of the eyes. A 29-year-old female patient diagnosed with Subconjunctival haemorrhage on clinical presentation was advised Yashti Triphala Bidalaka and Vasa Guduchyadi Kashaya as internal medicine for 10 days. The signs and symptoms were reduced to mild degree. The result proved to be effective based on clinical assessment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arjuna, Subconjunctival haemorrhage, Case study, Shuklagata Roga, Bidalaka, Kriyakalpa.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

he "Make in India" initiative, launched in 2014, has significantly impacted India's global economic standing by fostering manufacturing growth, attracting foreign investments, and enhancing employment opportunities. This research paper evaluates its influence on key sectors, policy reforms, and infrastructure development. Case studies on mobile manufacturing, the automobile industry, and defense production highlight the initiative's success. Challenges such as infrastructure bottlenecks and skill shortages are discussed, along with potential areas for improvement. The paper also examines the future prospects of "Make in India" in shaping India's role as a global manufacturing hub. Insights from government reports, industry data, and economic analysis support the findings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Make in India, Economic Growth, FDI, Manufacturing, Exports, Employment, Global Economy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper presents the design and development of a smart surveillance bot capable of autonomous navigation along predefined paths using a line-following mechanism. The system integrates an ESP32-CAM module for live video streaming, a color sensor for line detection, an ultrasonic sensor for obstacle avoidance, and a voltage sensor for battery monitoring. The bot is designed to enhance security and industrial monitoring by providing real-time surveillance and automated patrolling. The integration of multiple sensors ensures efficient navigation, making it a cost-effective and scalable solution for security applications. The proposed system is tested under different environmental conditions, ensuring reliability and efficiency in various real-world applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Line Following Robot WiFi-Controlled Robot Surveillance Bot

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Authentication has always been a critical challenge in examination settings, where ensuring the legitimacy of candidates is essential to maintaining the integrity of the assessment process. Traditional manual verification methods, such as paper-based identity checks and physical clearance cards, are highly vulnerable to security threats, including impersonation, fraudulent identity documents, and administrative errors. These weaknesses not only compromise the credibility of examinations but also place an additional burden on exam administrators.To address these challenges, this research proposes an advanced, automated authentication system that leverages facial biometrics and Convolutional Neural Networks (CNNs) to provide a robust and secure solution for student verification during exams. By integrating deep learning models, the system is capable of detecting, analyzing, and recognizing candidates' faces in real-time, ensuring a highly accurate and tamper-proof authentication process.The proposed approach significantly reduces the risks associated with impersonation by using image-processing techniques to match each candidate's face against a pre-registered database, preventing unauthorized individuals from gaining access to the examination hall. Furthermore, the system enhances operational efficiency by automating the verification process, eliminating the need for manual document checks, and reducing the administrative workload. By implementing this biometric authentication system, institutions can reinforce examination security, enhance transparency, and ensure a fair evaluation process. The integration of deep learning and facial recognition technologies represents a significant step toward modernizing exam security protocols, ultimately leading to a more reliable and fraud-resistant examination framework.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Authentication, Examination Security, Face Biometrics, Convolutional Neural Networks (CNNs), Deep Learning, Real-time Face Recognition, Student Verification, Impersonation Prevention, Image Processing, Automated Identity Verification, Seating Allotment System, Biometric Authentication, Fraud Prevention, AI in Education, Security in Examination Systems.

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Creative Commons Attribution 4.0 and The Open Definition

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In this project, a tiny self-driving automobile with line-following, obstacle-detection, and emergency braking features is designed and developed. The vehicle moves through a predetermined track while dodging obstacles and keeping a steady course thanks to an Arduino microcontroller, ultrasonic sensors, infrared sensors, and DC motors. While the obstacle recognition system initiates emergency braking to avert collisions, the line follower algorithm guarantees precise tracking. This project demonstrates how programming, robotics, and sensor technologies may be used to produce a working tiny self-driving automobile.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dashboard

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media has revolutionized many business functions, with Human Resource (HR) management being one of the most affected functions. HR practitioners are increasingly using social media platforms like LinkedIn, Facebook, and Indeed to improve recruitment, employer branding, and employee engagement. This research paper examines the level of social media usage in HR practices, assessing its advantages, disadvantages, and overall effect. Employing a mixed-methods methodology, the research integrates qualitative interviews with HR managers and quantitative surveys to capture observations on social media use in recruitment, employee participation, and company culture. Key results point to the fact that social media has enhanced recruitment effectiveness and employer image, but data privacy issues and the absence of clear guidelines on usage are major challenges. The paper concludes that although social media has much to offer HR, organizations need to develop sound policies and invest in training HR professionals to deal with the attendant risks successfully. Future studies can examine the long-term impact of social media on employee performance and retention.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Human Resources, Recruitment, Employer Branding, Employee Engagement, HR Strategies, Digital Recruitment.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper explores the implications of the African Union's (AU) inclusion in the Group of Twenty (G20) for global trade dynamics in the next decade. It provides an overview of G20 and highlights its origins, structure, and role in global economic governance, and also discusses India's strategic initiative to integrate the AU into G20, emphasizing its significance in enhancing India's global influence. Then, it explores the implications of the AU's membership in G20 for India, African nations, and global trade dynamics. It examines the AU's role in balancing representation within G20, particularly against the dominance of developed country regional blocs. The paper also highlights the AU's focus within G20 on trade-oriented matters and investment in local labourers. Finally, it discusses the alignment between the AU's Agenda 2063 and G20's goals, identifying potential areas of cooperation. The paper concludes that the AU's inclusion in G20 represents a transformative step in global economic governance, offering opportunities for enhanced collaboration and economic growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

G20, Trade, African Union

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Creative Commons Attribution 4.0 and The Open Definition

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The Real Tech Arm is a biomimetic robotic arm designed to replicate human hand movements with high precision. By utilizing servo motors and camera vision, this project aims to develop a responsive and interactive robotic limb. The integration of a vision-based tracking system ensures real-time data processing and arm control. Unlike traditional sensor-based approaches, this system relies entirely on computer vision to detect and interpret hand gestures. This paper presents the design, implementation, and functionality of the Real Tech Arm, showcasing its potential applications in prosthetics, robotics, and industrial automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino,Automation,Advanced Robotics Prosthetic Technology ,Smart Prosthetics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brain tumor detection is critical for early diagnosis and treatment planning. This study presents an automated approach utilizing OpenCV to analyze both MRI (Magnetic Resonance Imaging) and CT (Computed Tomography) scans for tumor identification. The proposed method involves image preprocessing, segmentation, and feature extraction to detect abnormal regions in brain scans. Techniques such as grayscale conversion, noise reduction, adaptive thresholding, morphological operations, and edge detection are applied to enhance tumor visibility. The system is designed to work with both MRI and CT images, ensuring broader applicability in medical imaging. Furthermore, machine learning models can be integrated for improved classification accuracy. The proposed approach provides a cost-effective, efficient, and automated solution to assist radiologists in early diagnosis and decision-making.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Detection, Machine Learning, OpenCV

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Creative Commons Attribution 4.0 and The Open Definition