Volume 13 | Issue 2 |

 Abstract

The Smart Voting System is a secure and efficient web-based platform designed to modernize the voting process while ensuring voter authenticity and preventing fraud. The system integrates machine learning, facial recognition, and CAPTCHA verification to address challenges such as duplicate voting, voter impersonation, and unauthorized access, Developed using Flask as the backend framework and MySQL for database management, the application employs advanced technologies to deliver a reliable and user-friendly voting experience. During registration, users provide personal details, upload a photo, and complete CAPTCHA verification. The uploaded photo is hashed and stored securely in the database, ensuring data integrity. The system verifies voter eligibility by calculating the user's age and checking for duplicate registrations using hashed photo comparisons. A Random Forest-hased fraud detection model analyzes voting patterns, such as the time of voting and the number of votes. cast, to flag suspicious activities. The voting process includes real time facial recognition using Python libraries like OpenCV and face recognition. Voters live photos are captured and compared with their registered photos to verify identity. The system ensures that each voter can cast their vote only once and prevents fraudulent attempts. Votes are securely recorded in the database, and candidate results are updated dynamically. This project demonstrates the potential of technology in improving election systems by combining security, scalability, and transparency. By leveraging artificial intelligence and secure data practices, the Smart Voting System provides a modern, reliable, and accessible solution to enhance the democratic process.

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 Keywords

Smart Voting System, Facial Recognition, CAPTCHA Verification, Secure Voting, Flask Framework, MySQL Database, Duplicate Voting Detection, Real-Time Election Results

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The U.S. pharmaceutical industry stands at an essential turning point while dealing with key research inefficiencies alongside supply chain problems and tough regulatory standards. The pharmaceutical industry must overcome multiple issues which become more complex as medical research advances coupled with mounting consumer interest in personalized health solutions. This research examines how cloud technology alongside predictive analytics functions as potential solutions to address widespread industry challenges. Through secure and scalable cloud-based systems pharmaceutical companies can improve their data storage and integration while ensuring collaboration which speeds up drug discovery processes and supports regulatory standards. AI and machine learning improve decision-making abilities within predictive analytics by processing extensive datasets to detect promising drug candidates and improve clinical trials while anticipating market development patterns. Leveraging integrated technologies pharmaceutical organizations can optimize their operations to decrease costs and enhance care results for patients. Case studies demonstrate operational advantages through Pfizer's vaccine advancement with AI technology and successful regulatory compliance processes involving blockchain systems. With these technological tools the U.S. pharmaceutical industry can navigate its present difficulties to provide effective healthcare solutions centered on patient needs which create the groundwork for a future-proof and sturdy sector.

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 Keywords

Cloud Technology, Predictive Analytics, Pharmaceutical Industry, Digital Transformation, Personalized Medicine, AI-Driven Platforms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigated changes in the speed of basketball players due to the isolated and combined effects of plyometric and weight training. To achieve this purpose of the study, sixty basketball players from in and around Kottayam, Kerala, India, whose ages ranged between 18 and 25 years, were selected as subjects. The selected subjects were divided into four equal groups. Group - I - (n = 15) underwent plyometric training, group - II - (n = 15) underwent weight training, group - III - (n = 15) underwent combined training, and group - IV - (n = 15) acted as the control group which does not participate in any special training. This study's training program was carried out thrice weekly for twelve weeks. The selected dependent variable speed was measured by a 50m dash test before and after training. The assessed data of the four groups were calculated through ANCOVA statistics. When the 'F' (adjusted) score in ANCOVA was high, the post hoc (Scheffe's) test was followed. A confidence level of 0.05 was set. Due to the isolated and combined effect of plyometric and weight training, the speed of basketball players notably progressed; however, the combined training group was much superior to the plyometric and weight training group in improving the speed of basketball players. The weight training group was much superior to the plyometric training group in improving the speed of basketball players.

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 Keywords

Plyometric training, Weight training, Basketball, Speed

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Energy bars have emerged as a convenient and nutritious food option, evolving from their origins as space food to becoming a staple for athletes and health-conscious consumers. These bars provide a balanced combination of carbohydrates, proteins, and fats, offering a quick and efficient source of energy. This paper explores the historical development, technological advancements, and nutritional composition of energy bars, highlighting their role as meal replacements and dietary supplements. The study also examines the manufacturing processes, raw materials, and safety considerations involved in production. With increasing consumer demand for healthy, on-the-go snacks, energy bars continue to evolve, incorporating functional ingredients such as probiotics, dietary fibers, and plant-based proteins. Future research should focus on enhancing their nutritional profile, improving affordability, and utilizing sustainable ingredients to meet the growing market needs while addressing health and environmental concerns.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy bars, nutrition, meal replacement, protein bars, functional foods, dietary supplements, manufacturing technology, health snacks, sustainable ingredients, food processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Hypergeometric functions, which generalize elementary functions and transcendental functions, have profound applications in number theory. Their role extends from providing explicit formulas for special values of zeta functions to contributing to the understanding of modular forms, elliptic curves, and the distribution of prime numbers. In particular, the interplay between hypergeometric series and the theory of modular functions offers insights into the properties of quadratic forms, class numbers, and the behavior of L-functions. This paper explores the key applications of hypergeometric functions in number theory, emphasizing their utility in evaluating sums over lattice points, understanding the asymptotics of number-theoretic functions, and their connections to deep results in transcendental number theory. Through a careful analysis, we demonstrate how hypergeometric series facilitate the derivation of identities and the development of computational methods that have become essential tools in modern number theory research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hypergeometric functions, number theory, modular forms, elliptic curves, prime distribution, zeta functions, quadratic forms, class numbers, L-functions, transcendental number theory, lattice sums, asymptotics, number-theoretic functions, identities, computational methods, transcendental functions, series expansions, modular functions, hypergeometric series.

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Creative Commons Attribution 4.0 and The Open Definition

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The Lung Tumor Detection System is a cutting-edge application that revolutionizes medical imaging analysis by accurately identifying lung tumors in radiological scans. Leveraging advanced Artificial Intelligence (AI) and Computer Vision, the system integrates noise reduction, contrast enhancement, and precise tumor classification using the VGG16 model. These capabilities enhance early diagnosis, treatment planning, and patient outcomes by enabling healthcare professionals to efficiently analyze and interpret medical images. Additionally, cloud-based integration ensures secure storage, multi-device access, and seamless collaboration among medical teams. Prioritizing security and privacy, the system employs encryption techniques and adheres to strict data protection regulations to safeguard sensitive patient information.

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 Keywords

Lung Tumor Detection System, Medical Imaging Analysis, Artificial Intelligence (AI), Computer Vision, Noise Reduction, Contrast Enhancement, Tumor Classification, VGG16 Model, Healthcare, Early Diagnosis, Treatment Planning, Patient Outcomes, Image Processing, Cloud Platforms, Secure Storage, Diagnostic Data, Collaboration, Encryption Techniques, Data Protection, Patient Privacy.

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Creative Commons Attribution 4.0 and The Open Definition

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The concept of privacy in India has evolved significantly over the years, transitioning from a peripheral notion to a fundamental right with far-reaching implications for individual freedoms. This paper explores the historical development of privacy jurisprudence in India, examining key judicial decisions and legislative efforts that have shaped the current legal landscape. A pivotal moment in this evolution was the Supreme Court's judgment in K.S. Puttaswamy v. Union of India (2017), which affirmed the right to privacy as a fundamental right under the Indian Constitution. The paper delves into the challenges posed by emerging technologies, particularly in the realms of surveillance, data protection, and digital privacy, and discusses the legislative frameworks such as the Personal Data Protection Bill, 2019 that aim to safeguard privacy in the digital era. It also offers suggestions for strengthening privacy protections, emphasizing the importance of an adaptive legal framework, public awareness, and judicial oversight. The study highlights the evolving nature of privacy rights in India, emphasizing the need to balance individual rights with state interests in a rapidly digitizing world.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Privacy Rights, Jurisprudence, Fundamental Right, Data Protection, Surveillance

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: With the alarming rise in plastic production and subsequent accumulation of plastic waste, there's an urgent need for sustainable solutions to mitigate environmental damage. This project explores the utilization of waste materials for brick production, aiming to develop eco-friendly construction materials. By incorporating plastic waste, particularly polyethylene terephthalate (PET), into brick formulations, the project aims to reduce reliance on traditional resources like clay, cement, and sand, thereby cutting costs and environmental impact. Various studies have been reviewed, indicating the effectiveness of incorporating plastic waste in bricks and optimizing their properties. The methodology involves characterizing raw materials, formulating concrete mix designs, testing mechanical properties, and optimizing production processes. Through field trials and continuous improvement, the project seeks to revolutionize concrete production, promoting sustainability and circular economy principles while mitigating carbon emissions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fly ash, Plastic waste

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the increasing prevalence of cyber threats, Distributed Denial-of-Service (DDoS) attacks remain a significant concern for network security. This study introduces an AI powered DDoS detection system that leverages Machine Learning algorithms, including Random Forest, Logistic Regression, and Neural Networks, to distinguish between legitimate and malicious network traffic in real time. The system is integrated with Software-Defined Networking (SDN) to enable adaptive security measures. A web-based interface, developed using React.js and Tailwind CSS, provides real-time traffic visualization. Experimental evaluations indicate high detection accuracy, reinforcing cybersecurity defenses against evolving attack strategies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DDoS Detection, Machine Learning, Software-defined Networking (SDN), Cybersecurity, Real-time Traffic Analysis, Network safety, Web-based Monitoring, Intrusion detection System(IDS)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Free radical reactions are a class of chemical reactions that involve highly reactive intermediates known as free radicals. These species possess unpaired electrons, making them extremely unstable and eager to form stable bonds. Free radical mechanisms are fundamental processes in chemistry, playing a significant role in a variety of chemical reactions, including polymerization, combustion, and biological processes. The mechanism typically involves three primary stages: initiation, propagation, and termination. In the initiation step, free radicals are generated through processes such as homolytic bond cleavage, often induced by heat, light, or chemical catalysts. During propagation, these radicals react with stable molecules to form new radicals, sustaining a chain reaction. The termination step occurs when two radicals combine, neutralizing their reactivity and halting the chain process. Free radical mechanisms are critical in synthetic chemistry, especially in the production of polymers through free radical polymerization. However, uncontrolled free radical activity can be harmful, as observed in biological systems where oxidative stress leads to cell damage. Antioxidants play a crucial role in mitigating such damage by scavenging free radicals. This paper will investigate into the fundamental mechanism of free radical reactions, encircling the key steps involved and the factors influencing their reactivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Free radical, initiation, propagation, termination, heat, photon, unpaired electron, intermediate, polymerization, homolytic cleavage

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Creative Commons Attribution 4.0 and The Open Definition