Volume 13 | Issue 4 |

 Abstract

" Comparative study of the level of educational achievement in Social Science subject among students studying in class 6 in council and private higher primary schools of district Pilibhit."

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" Comparative study of the level of educational achievement in Social Science subject among students studying in class 6 in council and private higher primary schools of district Pilibhit."

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 Abstract

Diabetes mellitus remains a pervasive public health issue, particularly among certain ethnic groups such as the Pima Indian community. This study leverages deep learning methodologies to forecast the risk of Type 2 diabetes in Pima Indian women using the well-established Pima Indian Diabetes dataset. Employing Artificial Neural Networks (ANNs), including multilayer perception architectures, the model identifies intricate, nonlinear patterns in clinical data such as glucose levels, BMI, and age. Results indicate that the deep learning model achieves superior accuracy and robustness compared to traditional machine learning methods, underscoring its potential as a viable tool for early detection and personalized intervention strategies in diabetes.

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 Keywords

Diabetes,LSTM,Deep Learning,Soft Max

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Keeping track of LPG cylinder levels and ensuring safety can be a real hassle. This project tackles these issues head-on by introducing an intelligent monitoring system for LPG cylinders. The system uses a load sensor to constantly track the weight of the cylinder, providing real-time data on the remaining gas. When the gas level dips below a set point, the system springs into action, automatically placing a refill order through a connected platform. Furthermore, the system incorporates advanced gas sensors to vigilantly watch for any leaks, ensuring immediate alerts and preventative measures are taken to safeguard the surroundings. Currently, managing LPG often relies on manual checks and estimations, which can lead to unexpected depletion and potential service interruptions. Existing leak detection methods, if present, may not be automated or may lack the ability to take immediate preventative action. These limitations can result in inconvenience for users and, more importantly, pose significant safety risks in the event of a gas leak. To overcome these drawbacks, this project proposes a comprehensive system that automates both gas level monitoring and safety protocols. By continuously tracking the cylinder's weight, the system ensures timely refills, eliminating the risk of running out of gas. Moreover, the automated gas leak detection, coupled with the immediate shut-off of the regulator and power sources, along with ventilation activation, significantly enhances safety and minimizes potential hazards. This proactive approach offers users a convenient, reliable, and, most importantly, safe way to manage their LPG supply.

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 Keywords

LPG monitoring system, Gas leak detection, Load sensor, Real-time tracking, Automated refill system, Safety automation, IoT-based solution, Smart home safety, Weight-based monitoring, Regulator shut-off, Power source control, Ventilation activation.

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The Bright Kids Academy Website project was designed to establish a dynamic, intuitive, and interactive digital platform tailored to the educational requirements of students, parents, and educators. This document details the systematic process of designing, developing, and deploying the website, emphasizing its core functionalities, technological framework, and transformative effects on the academy's operations. Serving as a centralized resource, the website facilitates information sharing, online education, communication, and administrative management, delivering a cohesive experience for all users. Prioritizing accessibility, scalability, and security, this initiative sets a benchmark for educational institutions aiming to strengthen their digital infrastructure.

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 Keywords

Interactive Lessons, Personalized Learning, Parent & Educator, Offline Accessibility

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Underground cables are widely used in urban areas for power distribution due to their safety, aesthetic, and space-saving advantages. However, locating faults in these cables is challenging and time-consuming because the cables are not visible. This project proposes an Underground Cable Fault Locator System using a Microcontroller, which can detect the exact location of a fault in the underground cable. The system operates based on the Ohm's Law principle, where the cable's resistance is proportional to its length. A DC power supply is applied to the cable line, and in the event of a short circuit or open circuit, the voltage drop across the cable changes. The microcontroller measures this voltage drop and calculates the distance to the fault using pre-calibrated values. The core components of the system include a microcontroller, voltage sensing circuit, LCD display, and relay driver circuitry for safety control. The calculated fault distance is displayed on the LCD in real-time, helping maintenance teams quickly locate and fix the fault without unnecessary excavation

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Microcontroller, LCD Dispaly, Buzzer

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This paper explores the design and implementation of the Healthify Bottle, a smart hydration monitoring system that leverages IoT and cloud computing to promote healthier lifestyles and improve daily water intake habits. The system integrates sensors, wireless communication, and a mobile application to monitor water consumption in real time, send hydration reminders, and provide personalized insights. By utilizing technologies such as Bluetooth, capacitive touch, and cloud-based data analytics, the Healthify Bottle ensures accurate tracking, user engagement, and secure data management. Experimental results demonstrate the system's effectiveness in real-world usage, with enhanced user convenience and health awareness. This innovation not only addresses hydration-related health concerns but also lays the foundation for broader applications in smart healthcare and wellness ecosystems.

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 Keywords

SMART IOT

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 Abstract

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Right to privacy

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Herbal plants contain various biologically active compounds that are useful for life enhancement, and they are the The main origins of modern and conventional herbal medicine for disease prevention. The nature of different kinds of life-supporting voters of plants that have been studied by scientists for their applications. The purpose of the research was to devise an herbal mosquito repellent candle that would include lemon oil, cloves, cinnamon, lavender oil, marigold, neem, and rose water. The candle was tested for flammability, burning time, and repellency against mosquitoes. It may be attributed to the presence of the different active constituents of the oils. The test showed that the manufactured polyherbal candle had become more effective, cheaper, and nonpoisonous than the candle repellents currently available on the market based on chemicals in fighting mosquitoes.

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Mosquito Repellent Candle, Mosquitoes.

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This study explores consumer insights and preferences regarding Starbucks in Coimbatore City, Tamil Nadu. Utilizing a descriptive research design and a sample of 127 respondents, the study examines consumer demographics, behaviour, brand perception, and satisfaction. Key findings indicate a strong preference for quality coffee, ambiance, and brand experience, especially among students and young professionals. While Starbucks enjoys a premium brand image, concerns regarding pricing and limited reward program engagement were also identified. This study offers actionable insights for Starbucks to enhance its customer engagement and market positioning in emerging urban markets.

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 Keywords

Starbucks, Consumer Behavior, Brand Perception, Coimbatore, Coffee Chains, Customer Satisfaction, India

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Creative Commons Attribution 4.0 and The Open Definition

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The Legal Education and Assistance Portal (L.E.A.P) is designed to bridge the gap between complex legal systems and public understanding by offering accessible legal resources and tools. Through a user-centric design approach, L.E.A.P integrates advanced features such as the Legal Pegasus model for document summarization, Indiankanoon API for efficient document retrieval, and a Gemini API chatbot trained on Bhartiya Nyay Sanhita. This review evaluates the platform's design strategies, technological frameworks, and their collective role in enhancing legal literacy and accessibility. The paper highlights the importance of user-focused design in legal technology and underscores L.E.A.P's potential to empower individuals by simplifying access to critical legal knowledge

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 Keywords

Legal technology, Artificial Intelligence, User-Centered Design, Legal Literacy, Document Summarization, Bhartiya Nyay Sanhita

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Creative Commons Attribution 4.0 and The Open Definition