Volume 13 | Issue 4 |

 Abstract

Indian people suffered a great torment under British administration were one of the important vicious act was the salt tax, formulated during 1882. Gandhi as a leader trailed millions of people agaisnt the British, by indulging their minds with national sprit conciousness and weaponised the salt as the central theme. Due to this circumstantial crisis, British inorder to obliterate the rise of Nationalism they arrested and imprisoned the political leaders at the nascent stage. British inorder to stabilise their power introduced a strict and vigorous administration reforms by enforcing a separate police department to prevent Indians from taking salt. In this research, the researcher has specified the role of salt police officers and their inhumane behaviour against the salt satyagrahis in Madras Presidency during the Civil Disobedience Movement.

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 Keywords

Civil Disobedience Movement, Political Prisoner, Police reforms, Tribulations and suffarages, Madras Presidency.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As a citizen, casting a ballot is both a right and an obligation. Every person has the chance to vote for the representatives who will speak for them when it comes to the requirements and recommendations of the populace. Elections are the method used to choose these MPs. The way of giving of vote with existing system OLD (Paper based) and traditional (Electronic Voting Machine) is not much secure.The problem with existing system is that centralized architecture, attack prone and not trustable. The need of Decentralized voting system is to increasing security, quickness, protection. This paper explores the way to recognize voting problem and provides solution of that security problem through Blockchain Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, E-voting, Electronic voting, Ethereum

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lung cancer remains one of the most life threatening diseases worldwide, with early detection playing a crucial role in improving patient survival rates. Computed Tomography (CT) scans are among the most effective imaging techniques for detecting lung cancer, yet manual interpretation by doctors can be challenging. To address this issue, computer-aided diagnosis (CAD) systems have been developed to assist in identifying cancerous cells more accurately. This research evaluates various CAD techniques based on image processing and machine learning, analyzing their performance, limitations, and drawbacks. The study systematically reviews different detection approaches, compares their accuracy levels, and highlights areas for improvement. To enhance diagnostic precision, an improved model is proposed.

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 Keywords

Lung Cancer Detection, Computer-Aided Diagnosis (CAD), Medical Image Processing, Computed Tomography (CT) Scans, Machine Learning, Deep Learning, Discrete Wavelet Transform (DWT), Haralick Feature Extraction, Fuzzy Clustering, Convolutional Neural Networks (CNN), Probabilistic Neural Networks (PNN), Early Diagnosis, Segmentation, Pattern Recognition.

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The Travel Planning System is a web-based application designed to help budget-conscious travelers organize their trips and manage their expenses efficiently. This platform, similar to travel apps like "Make My Trip," offers a unique feature: it provides personalized trip recommendations based on the user's budget and current location. The system calculates the minimum amount a traveler needs to carry before embarking on their journey, ensuring they are financially prepared. Additionally, in case of an emergency, users can access a special "Save Our Souls" (SOS) feature for immediate help. A core component of the application is the use of a greedy algorithm to determine the shortest and most cost-effective route from the user's starting point to their destination. Users can set specific preferences through the Budget Pre-Analysis Module, which considers various travel requirements such as accommodation, transportation, and sightseeing preferences. The app then calculates the optimal budget and suggests cost-effective travel options.

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 Keywords

Travel Planning System,Save Our Souls,Web-based,Greedy Algorithm,Suggestion

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract -- The main objective of this paper is to predict the possible level of carcinoma. Today Cancer is the worst disease that causes a lot of death. Because in most of the cases, it is incurable. But it is not so the case, if it is detected at earlier stage. So the earlier diagnosis is necessary. However there are so many steps and efforts are needed to predict the occurrence of carcinoma. Data mining is the process of extracting the required information from the huge volume of datasets using various algorithms. In medical field, it leads to lot of researches. Here, we use Knn algorithms, Support vector Machine algorithms and decision tree algorithms that predicts the lung cancer based on simple parameters without much efforts.

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 Keywords

Carcinoma, Data Mining, Support vector machine ,naive bayes,Decision tree

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Creative Commons Attribution 4.0 and The Open Definition

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Holistic learning and value-based education is what the National Education Policy (NEP) 2020 has to bring changes into the Indian education system. Given importance to the academic, moral, social, and emotional development of a student, the policy seeks to convert the students into responsible ethical citizens, who would be contributors of healthy strings to society. The paper is basically on understanding how value education can achieve this vision and the inclusion of value education into the curriculum, pedagogical strategies, and assessment systems. Now analyzing the key principles as mentioned in NEP 2020 such as multidisciplinary learning, and social-emotional learning (SEL) and ethical decision-making, the paper advocates performance of these components for a full-blown perspective in education. The paper also contains a discourse about the specific faces that would be encountered practically in putting into practice value-based education: readiness among teachers, design of the curriculum, and models of assessment alongside the approaches of policy recommendations to overcome these challenges. The study argues that successful incorporation of value education may demand a partnering approach among educators, policymakers, institutions, and communities. NEP 2020 is a new paradigm shift from education not just about knowledge but rather building character and citizenship. Innovative approaches such as technology-driven learning, experiential education, and community involvement can make it possible to raise a generation of ethical, socially responsible, and compassionate leaders through NEP 2020.

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 Keywords

Holistic Education, Value Education, NEP-2020

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Creative Commons Attribution 4.0 and The Open Definition

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The Smart ICU Patient Monitoring System is a cutting-edge healthcare solution designed to continuously track and monitor vital signs of critically ill patients in intensive care units. This system integrates IoT-based sensors with a Flask web application, enabling real-time data acquisition and visualization. The system captures key health parameters, including ECG, heart rate, oxygen saturation, and body temperature, and transmits them to a centralized dashboard for medical staff. Critical threshold breaches trigger instant alerts via SMS and voice calls, ensuring timely medical intervention. The system utilizes Raspberry Pi as the primary processing unit and SQLite for efficient data management. The web application provides secure authentication, real-time graphs, printable patient reports, and historical data access. This project highlights the potential of IoT-based remote patient monitoring, ensuring enhanced healthcare services with improved efficiency and accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Patient Monitoring, ICU, Healthcare, Raspberry Pi, Real-time Data, Web Application, SQLite, Sensor Integration, Emergency Alerts

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Graham Swift's Waterland and John Fowles' The French Lieutenant's Woman, deliberately embrace the idea of history while also challenging historical comprehension, critics have praised both works as exceptional examples of historiographic metafiction. According to Hayden White, every narrativized history is relative, and the historian is inherently impositional. In line with White, Linda Hutcheon describes postmodern historical fiction as the kind of fiction that paradoxically and self-reflexively uses the idea of history while also rejecting its veracity. In light of White and Hutcheon's theories, this paper aims to analyze, compare, and contrast Graham Swift's Waterland and John Fowles' The French Lieutenant's Woman to demonstrate how, despite the problematic nature of the idea of reclaiming the past as it truly was, these novels approach the concept of history in different ways.

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 Keywords

Postmodern historiography, historiographic metafiction, subversion, self-reflexivity.

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial Intelligence (AI) has emerged as a powerful tool in various domains, and the field of drug discovery and drug delivery is no exception. This review article aims to provide an overview of the applications of AI in drug discovery and delivery and explore its future prospects. The article begins by introducing the fundamental concepts of AI. Furthermore, the article discusses the AI-powered software or tools including for drug discovery, in nanotechnology and in drug formulation and delivery. Finally, the article presents the future prospects of AI in drug discovery and drug delivery systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI in drug discovery, AI in drug delivery systems, and AI-powered software or tools.

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Creative Commons Attribution 4.0 and The Open Definition