Volume 13 | Issue 3 |

 Abstract

Against the background of growing indoor air pollution concerns, this study introduces the design and implementation of an air cleaning system that incorporates HEPA filtration, water purification, and instant air quality monitoring. The system features a two-stage cleansing mechanism: a HEPA filter filters airborne particulates, while a water vortex treatment mechanism cleanses the air additionally and ensures ideal humidity levels. CO? and CO concentrations are monitored in real time with MQ series gas sensors. When pollutant concentrations surpass set limits, the system will trigger a relay module to shut off high-energy appliances, minimizing emissions and heat production. Sensor data processing and control operations are carried out by the Arduino Nano microcontroller for a fast and energy-efficient indoor space.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Air Purification, Water Filtration, Indoor air Quality, Automation, Water-Based Indoor Quality System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cultural festivals play a significant role in preserving heritage, fostering tourism, and providing immersive experiences for visitors. Hampi Utsava, a renowned cultural festival in Karnataka, India, attracts thousands of visitors annually, offering a unique blend of history, art, and tradition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Visitor Behavior Visitor Satisfaction Cultural Tourism Festival Tourism Tourist Experience

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project implements a Distributed Decomposed Data Analytics (D3A) mechanism for weather prediction using IoT, Machine Learning, and Cloud Computing. AWS Cloud services, such as Lambda and S3, enable efficient data processing and remote access. The system provides real-time weather insights for sectors like agriculture and disaster management. Though in its early stage, it shows improved accuracy over previous models.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Weather Prediction, IoT, Machine Learning, Cloud Computing, Distributed Decomposed Data Analytics (D3A), AWS Cloud, Lambda Functions, S3 Buckets, Real-time Data Processing, Agriculture, Disaster Management, Sensor Networks, Decentralized Data Analysis, Remote Access, Data Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

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This smart helmet system is designed to improve two-wheeler safety by addressing key risk factors such as intoxicated driving, failure to wear a helmet, and exposure to extreme internal temperatures. The system ensures that the rider is wearing a helmet through a built-in sensing mechanism and detects alcohol consumption using an MQ3 sensor. By analysing the analogue output of the sensor, the system can distinguish different levels of alcohol concentration and respond accordingly. Additionally, a tilt sensor enables fall detection, which triggers an automatic alert via GSM, sending the rider's location to registered contacts in the event of an accident. The helmet also incorporates a Bluetooth module, facilitating hands-free communication without requiring helmet removal. Furthermore, an integrated DHT11 temperature sensor monitors internal temperature conditions. If the temperature exceeds a predetermined threshold, an LED inside the helmet is activated as a warning. Should the LED remain on for over an hour, a buzzer is triggered to alert the rider to take a break and allow the temperature to drop, reducing the risk of heat-related health issues. The system ensures that if the helmet is not worn or if alcohol levels exceed the permissible limit, the vehicle's engine remains disabled. Through these combined features, this smart helmet system aims to enhance road safety, minimize accident risks, and improve rider protection and comfort.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Helmet, Alcohol Detection, Accident Detection, Bluetooth Module, Temperature Sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Formula 1 (F1) has evolved into a premier motorsport where technology and economics are central to its growth and competitiveness. From its early mechanical roots, F1 has embraced cutting-edge innovations, including aerodynamics, hybrid power units, and real-time data analytics, transforming car design and race strategies. These technological advancements have elevated F1 from a traditional race of speed to a sophisticated blend of engineering precision and strategic decision-making, with teams relying heavily on artificial intelligence and data optimization. Economically, F1 has become a multi-billion-dollar industry, driven by sponsorships, media rights, and global commercial partnerships. This financial success has led to significant investment in research and development, but also to disparities in team budgets. To address these challenges, cost cap regulations have been introduced, aiming to level the playing field. Additionally, sustainability has emerged as a key concern, with F1 focusing on hybrid technologies and alternative fuels to reduce its environmental impact. In short, F1 is a unique intersection of technology and economics, where ongoing innovation and financial strategies shape its future. The balance between technological progress, economic sustainability, and environmental responsibility will define the future of Formula 1 in the modern motorsport landscape.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

F1: F1is the commonly used abbreviation for Formula One Halo: is a mandatory driver head protection device, a titanium structure surrounding the top of the cockpit, designed to protect the driver from debris or impacts during accidents. Global: know throughout the world Sponsorships: a partnership between a company (sponsor)and a sports club or event. Liberty Media: an American mass media company multi-billion-dollar industry: being, involving, or worth many billions (as of dollars or pounds)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study was to examine the isolated and combined yoga and core stability exercises in combination with drill training on volleying ability among tribal volleyball player. Total N=100 (hundred) tribal men volleyball players recruited randomly from various college of Prakasam district AP, their age period ranged from 18 years to 25 years as per subject's secondary board of education certificate and, who at least participated college level volleyball games. The chosen men tribal volleyball players was randomly recruited into four groups each group n=25 men tribal volleyball players i.e. empirical groups I men tribal volleyball players underwent: yoga practice in combination with volleyball base skill drills training (YPDV=25), empirical group II men core stability exercises in combination with volleyball base skill drills training (CSDV=25), empirical group III underwent: combined yoga practice and core stability exercises in combination with volleyball base skill drills training (YCDV = 25) tribal volleyball players and non training group players (NTVP = 25) tribal volleyball players . NTVP was practiced only their respective specialization game. The training period was fixed for 12- week's duration and four sessions in a week. The measurement of volleying ability scores was collected through Brady's wall volley test before and after the completion of specific training. The collected score's were analyzed through ANCOVA and level of significant was restricted at 0.05 levels. The study found that isolated, combined yoga and core stability exercises in combination with drill training had positive significant impact to increase volleying ability score performance of tribal men volleyball players of three empirical group's players comparative to control group.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Yoga, core, exercises, volleying ability and volleyball

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pregnancy and childbirth are an outstanding life events for every woman.. While it can be a time of great joy, it can also be a source of stress and anxiety among women. They frequently worry about the normal pain of childbirth and about the possibility of something going wrong. These are all normal human phenomenon that almost all pregnant women experience to some degree. However,this fear can become pathological and so severe that women will avoid getting pregnant or giving birth altogether.

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TOKOPHOBIA

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Creative Commons Attribution 4.0 and The Open Definition

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Cooperatives have been a vital part of Indian socio economic landscape representing the values of collective responsibility, participatory decision making and inclusive growth. These organizations have been central to uplifting communities especially in rural areas by providing employment opportunities and supporting economic self sufficiency. Cooperatives are organizations owned and managed by their members who have equal say in decision-making processes, typically based on the principle of democratic governance. The objectives of this paper are to explore the Genesis & Evolution of Cooperative movement in India, government initiatives and role of the cooperatives in inclusive growth, to identify the challenges they face, to analyze the challenges faced by cooperatives in India, to explore opportunities that can help strengthen their role in fostering inclusive economic growth. This paper is in descriptive nature and based on the secondary data collected from the magazines, journals and periodicals etc., addressing these challenges can unlock their full capacity to contribute to India's inclusive growth.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

cooperatives, inclusive growth, challenges, opportunities, NAM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A massive migration of occupations to remote work and their consequent impact on work-life balance was catalysed by the COVID-19 pandemic, particularly in the IT professions. This study aims at the challenges and facilitative factors for Work from Home (WFH) arrangements concerning mental health, job satisfaction, and productivity from the employee perspective. The study surveyed 120 IT professionals and key factors including workload, flexible time management, communication culture, and the blend of operational and personal responsibilities were looked into. This research very much states that in support of employees, psychosocial support for mental health would be helpful, and strong communication back to the employer would facilitate the assistance of making the employees' experience in remote working a better one. All these findings should serve as a basis for developing fair work-from-home policies for productivity and enhancement of employee support.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Work from home, IT Professionals, Work life-balance, job satisfaction, employees' well-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research presents a multimodal deep learning approach for brain tumour diagnosis focusing on software-driven solutions for medical image analysis and classification. The system integrates deep learning techniques to process MRI scans and other diagnostic data improving accuracy and efficiency. A Convolutional Neural Network (CNN) is used for image recognition and processing tasks like image classification while ensemble learning methods improve classification performance. The software is designed for automated pre-processing segmentation, and tumour classification ensuring robustness across diverse datasets. The framework is implemented with Python and Tensor Flow and supports real- time inference and can be deployed in clinical decision support systems. To get the result percentage as 95.3% accuracy in the Xception image which shows in the output.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multimodal machine learning, Deep Learning, Convolutional Neural Networks, Brain tumour, Magnetic Imaging Resonance, Computed Tomography.

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Creative Commons Attribution 4.0 and The Open Definition