Volume 10, Issue 10, Jan 2025

In today’s healthcare environment, being able to gain useful insights from health data is vital. Many people lack access to reliable health information, which is essential for making informed health decisions. DocHealth.AI bridges this gap by providing a platform that predicts and analyzes health trends. Using advanced AI methods, it can monitor symptoms, detect early health warnings, and encourage better posture habits. Developed with user-friendly design and powerful analytics

With increasing energy demand, there is an increase in energy consumption, encouraging demand to develop an AI-based model for accurately forecasting electricity demand in a region characterised by highly variable load profiles. Traditional linear models overlook non-linear factors used in dynamic data making them unsuitable for forecasting growing energy demands. The variability in peak load and presence of renewable sources like solar energy introduces

Temples are everywhere in Tamil Nadu from large monumental structures to small stone buildings, each having a certain significance and greatly influencing the lives of the people who regard the temple as a place where they could be close to God. It is a land of intense spirituality and religious faith reflected in the profusion of temples present in this region. Temples are the visible symbols of the earth’s prayer to heaven

Jallikattu is a traditional sport that embodies the transition and courage of the Tamil people. Its uniqueness lies in the brave act of confronting and subduing a fierce bull. It symbolizes the Tamil heroic tradition in southern regions, such as Madurai. In Jallikattu competitions, participants are assessed based on their agricultural heritage. This courageous game occurs in various cities and at multiple levels

Google Cloud Platform (GCP) offers a robust suite of security features designed to protect data and applications. This paper presents an in-depth analysis of Google Cloud's security architecture, practices, and tools. It examines the core components, including physical security, data encryption, identity and access management, network security, and threat detection. Additionally, it discusses best

The purpose of the study is to determine the purchasing habits and degree of customer satisfaction in the city of Coimbatore. In the state of Tamil Nadu, Coimbatore is the biggest and second-largest city. It is a significant commercial hub with a sizable metropolitan population. In the modern corporate world, shopping is an essential aspect of life for every person. They have a preferred store

Development of Human Resource and the Economic Progress are the interlinked concepts which catalysis the overall development of a district and the nation as a whole. The flagship program ‘Transformation of Aspirational Districts’ by the GOI stared in January, 2018 aims at create a New India by 2022 in which the emphasis lies to upscale the HDI ranking of India, thereby uplifting the standard

As urbanization accelerates and vehicle numbers soar, traffic congestion has become a significant challenge for cities worldwide. Traditional traffic management systems, heavily dependent on manual monitoring and static control measures, are struggling to keep up with the dynamic and complex nature of modern urban traffic. This paper presents an in-depth exploration of how the Internet of Things

This study presents a comparative analysis of two building models designed using ETAB software: one utilizing a diagrid structural system and the other incorporating fluid viscous dampers. The primary objective is to evaluate and compare their seismic performance in terms of displacement, storey stiffness, storey shear, and storey drift. The results indicate that while the fluid viscous damper system

The research endeavors to perform big data analysis on the extensive data produced by the Internet of Things (IoT) in smart cities. Its objective is to steer smart cities toward effective governance and secure data processing. To address the diverse data sources within smart cities, the research develops a multi domain data based smart city enhancement model through two level learning

Micron SONARs are some of the most widely used imaging system for obtaining large scale images of the seafloor. We propose in this paper an aerial drone to effectively detect underwater mines using the sonar attached to a drone, thereby enhancing the safety of maritime navigation and protecting valuable maritime assets. We also proposed in this paper the simulation of drone on Gazebo

Civil Engineers are facing a great challenge in structural designing. The design must fulfill various parameters which include economic structure, durability and serviceability. But taking these points in mind it becomes very difficult for an Engineer to fulfill all these requirements at a time when a design is performed manually. This dissertation presents a research on digital tools used in civil

Grounding DINO and Segment Anything Model a.k.a SAM algorithms, a recent innovation from cutting-edge research, has garnered considerable attention. Trained on extensive datasets comprising diverse annotations, this tool demonstrates an exceptional ability to accurately annotate a variety of objects within images. In the original work, the tool's efficacy was assessed through intricate zero-shot

This study investigates the challenges encountered by coffee exports in Nilgiri District, Tamil Nadu. Nilgiri District holds a significant position in the coffee industry, yet faces unique hurdles that affect its export operations. Through a combination of quantitative and qualitative analysis, this research aims to delineate these challenges and their impact on the local coffee export landscape

Grounding DINO and Segment Anything Model a.k.a SAM algorithms, a recent innovation from cutting-edge research, has garnered considerable attention. Trained on extensive datasets comprising diverse annotations, this tool demonstrates an exceptional ability to accurately annotate a variety of objects within images. In the original work, the tool's efficacy was assessed through intricate zero-shot

This study investigates the challenges encountered by coffee exports in Nilgiri District, Tamil Nadu. Nilgiri District holds a significant position in the coffee industry, yet faces unique hurdles that affect its export operations. Through a combination of quantitative and qualitative analysis, this research aims to delineate these challenges and their impact on the local coffee export landscape