All of the articles in this proceedings volume have been presented at the [ICSHIT 2024] during [December 30th & 31st, 2024] in [Shri Shankaracharya Institute of Professional Management and Technology, Raipur, Chhattisgarh, India]. These articles have been peer reviewed by the members of the [Technical...

Between 2024 and 2030, it is projected that radiation levels will rise significantly while cosmic energy declines. This period is also expected to bring about a reduction in human attention span, further intensifying the potential risks to human health. As a result, it will be more crucial than ever...

An ageing population, an increase in chronic illnesses, and skyrocketing healthcare expenses will put a strain on healthcare systems throughout the world from 2024 to 2030. Affordable healthcare for everyone should be a goal of universal health coverage (UHC), but meeting rising demand and shrinking...

The issue of student anxiety remains an essential area of concern in academia and several reasons, like employment and educational levels, fuel it. This study gives a fresh perspective on how these considerations contribute to increasing or decreasing the levels of anxiety and implementing machine learning...

Diabetic Retinopathy (DR) is a leading cause of vision impairment and blindness among diabetic patients worldwide. Early detection and timely intervention are crucial to preventing severe visual loss. Convolutional Neural Networks (CNNs) have emerged as a powerful tool for image analysis and have shown...

Dyslexia is a neurological disorder which leads to learning disabilities mainly in reading. This learning disorder affects 5 to 10% of peoples across worldwide. Usually, persons affected from dyslexia faces difficulties in spelling, reading and writing fluency. It affects any age peoples and it is not...

Ammonia (NH₃) plays a vital role in various industries, serving as a key raw material for fertilizers, plastics, explosives, and industrial processes like metal treating and cleaning. In the food industry, it is used as a leavening agent, preservative, and pH regulator for baked goods, processed meats,...

The objective of this research is to develop an R&D (Research and Development) for the hardiness relay alert system, including applying the machine learning, and the fuzzy logic networks for the real time Ethereum transaction ‘match failure’ detection and the improved Ethereum blockchain security....

The research focuses on designing and deploying IoT-based health monitoring and safety alert systems on cloud services, including real-time data access and emergency alerts on mobile application interfaces. Using an ESP32 microcontroller, the system acquires critical health parameters, such as body temperature,...

The systematic ML application focus in this research aims to compare supervised and unsupervised Ml techniques. Using supervised ML methods deep learning, ensemble models and even traditional statistical approaches like logisitic regression have been incorporated. Key datasets chosen, along with the...

Suicide ranks among the leading causes of death worldwide. In that, Data from the National Crime Records Bureau indicates that hanging suicide identified as the most common method especially in young people. It is imperative to proactively address this issue by exploring and implementing solutions aimed...

Patient monitoring has been greatly enhanced by the use of Internet of Things (IoT) technologies in healthcare, particularly concerning pacemakers and other implantable medical devices (IMDs). This project presents an innovative IoT-based framework for monitoring patients with pacemakers using a heartbeat...

Autism spectrum disorder (ASD) is a neurological condition defined by repetitive mannerisms, communication impairments, and social interaction issues. For treatments to be effective and for children to lead easy lives, early sickness detection is crucial. Because symptoms can manifest in a variety of...

Diabetes is one of the most pressing global health issues, with an estimated 346 million people affected worldwide according to a 2011 WHO survey. Diabetes mellitus, a metabolic disorder caused by improper insulin utilization, increases the risk of heart attacks, kidney damage, and renal failure. Traditional...

Pneumonia, a significant global cause of morbidity and mortality, especially among populations of youngsters and the elderly, poses a critical diagnostic challenge. Early and accurate detection of pneumonia can significantly reduce mortality rates and ensure timely treatment. While conventional methods...

Breast cancer is one of the most common causes of cancer death, and precise early risk evaluation is the key to improving patient prognosis. Here, we present a new genetic automated intelligence with deep learning (GAID) model integrating data from common female BRCA variants and iPROM measures, as well...

Precise segmentation of breast cancer in imaging is critical for diagnosis, treatment planning, and outcome prediction in medical images. The inherent complexity of tumor shape, heterogeneous boundary and multi-modal imaging data have made traditional segmentation techniques based on classical image...

The increasing occurrence of natural and man-made disasters requires efficient and integrated disaster management systems. This paper reviews recent advancements in Post-Disaster Management Systems (PDMS) with a focus on preparedness, response, and recovery. By leveraging artificial intelligence (AI)...