PCB Design and Development for Multipurpose Robots
Authors:-Bhoomika S, Associate Professor Pavithra G, Associate Professor Dr. Swapnil SN

Abstract-:With robotics permeating diverse domains—from academic learning environments to industrial automation—the need for versatile, compact, and intelligent control hardware has never been more critical. This paper chronicles the comprehensive process of conceptualizing, designing, and developing a custom Printed Circuit Board (PCB) optimized for multipurpose robotic applications. Prioritizing modularity, functional scalability, and embedded intelligence, the board seamlessly integrates motor control, sensor interfacing, power regulation, and wireless communication within a single unified platform. Beyond the electrical design, this work explores the strategic decisions behind component selection, signal routing, thermal management, and real-world deployment. The final prototype demonstrates consistent, stable performance across various robotic implementations, including autonomous navigation, gesture control, and remote operation—highlighting the board’s adaptability and robustness.

DOI: 10.61137/ijsret.vol.11.issue3.101

Published by: Kajal Tripathi

AI-Powered Virtual Mouse Controlled by Hand Gestures
Authors:-Dhinesh Kumar B, Priya Anand R

Abstract-:The present paper proposes a novel way of cursor control using hand movements that a standard webcam can easily capture instead of the traditional mouse. It offers a hands-free experience with ease by eliminating the need for a hardware device. The technology utilizes the ability of the webcam to record hands perfectly. The hand gestures are not just imitated, however. Some hand gestures will be developed to serve various operations, such as dragging and right and left click. This permits users to take advantage of the cursor and the functionalities of it in a smooth and intuitive fashion. For one to implement this system as aforementioned, Python and OpenCV come in handy. These models imitating the undulating movement of human hand movements have the capabilities to significantly increase the usability of such computer vision applications. The technological world today is constantly evolving because of the plenty of technologies. One of such fascinating concepts is the human-machine interface. The concept fundamental this is known as signal acknowledgment, which is a method for duplicating mouse functions on a screen without any need for equipment.

DOI: 10.61137/ijsret.vol.11.issue2.477

Published by: Kajal Tripathi

2D Combat Fighting Game
Authors:-Surendhar S, Dr.K Nandhini

Abstract-:The rapid advancement of gaming technologies has significantly transformed the interactive entertainment industry, with developers seeking innovative ways to engage players through immersive and dynamic experiences. This paper presents the development of a 2D Combat Fighting Game using C# and the Unity game engine, aimed at delivering an engaging, interactive gameplay experience. The game leverages Unity’s powerful features, such as physics-based character movements, animation, and real-time combat mechanics, to create an interactive and responsive environment. The core gameplay revolves around two fighters engaging in a series of combat moves, where players control the characters and utilize various offensive and defensive techniques to defeat their opponent. The game incorporates player-controlled inputs such as punch, kick, block, and dodge actions, all of which are designed to be intuitive and responsive, ensuring a seamless and enjoyable user experience. The design of the game also emphasizes interactive elements, including environmental obstacles, power-ups, and dynamic backgrounds, which further enhance the immersive nature of the game. The game’s architecture is developed using C# scripting within the Unity engine, with an emphasis on efficient game mechanics and real-time input processing. Key elements include collision detection for hit and damage calculations, AI-controlled enemy behaviours, and level progression. The physics engine integrated with Unity adds realism to the character animations, including smooth movement, impact detection, and dynamic interactions with the game environment. Experimental results indicate that the game’s design allows for smooth gameplay, responsive controls, and an interactive combat experience, offering players an engaging platform to test their skills. This project also explores the use of Unity and C# in developing highly interactive games that provide immersive environments, offering potential applications in both entertainment and training simulations. The development of this 2D Combat Fighting Game demonstrates how game development platforms like Unity and C# can be leveraged to create fun and interactive gaming experiences, setting the foundation for more complex, scalable, and engaging interactive entertainment projects.

DOI: 10.61137/ijsret.vol.11.issue2.476

Published by: Kajal Tripathi

CRISIS Management with AI: Modelling Human Behavior and Systemic Risk during Pandemics
Authors:-Vinayak. K

Abstract-:The role of artificial intelligence (AI) in crisis management has grown exponentially, particularly in the context of global health crises such as pandemics. AI can offer predictive capabilities that help mitigate the effects of widespread disasters by modeling human behavior, forecasting systemic risks, and optimizing resource distribution. This paper explores how AI is used in crisis management during pandemics, focusing on human behavior modeling, risk assessment, and response strategies. It investigates case studies from the COVID-19 pandemic, analyzing AI’s role in tracking virus spread, understanding human interactions, and improving decision-making processes. Ethical considerations, data privacy concerns, and the challenges of integrating AI in crisis response systems are also discussed. The paper concludes by highlighting future prospects, including the potential for more advanced AI tools to manage future global crise.

DOI: 10.61137/ijsret.vol.11.issue2.475

Published by: Kajal Tripathi

AI in Microbiome Research: Decoding the Human Gut-Brain Axis with Deep Learning
Authors:-Vandana Gowda C.D

Abstract-:The human microbiome, a complex community of microorganisms residing in the gut, plays a critical role in human health and disease. Recent studies suggest that the gut microbiota influences not only digestive health but also brain function and behavior, contributing to the emergence of the gut-brain axis concept. Advances in artificial intelligence (AI), particularly deep learning, have enabled the analysis of vast amounts of microbiome data, providing deeper insights into the microbiota’s composition and its connection to various neurological conditions. This paper explores the applications of AI in microbiome research, focusing on its role in decoding the human gut-brain axis. AI-driven approaches are being used to identify microbial patterns linked to diseases such as autism, depression, and Parkinson’s, revolutionizing our understanding of the brain’s biochemical environment. The paper discusses case studies where AI has been applied to microbiome data, along with the challenges, ethical considerations, and future prospects of using AI in this field.

DOI: 10.61137/ijsret.vol.11.issue2.474

Published by: Kajal Tripathi

StudyBay: Smart Education Platform
Authors:-Mr. Naveen, Ashmit Jaiswal, Ashwani Kumar Singh, Ayush Goswami, Arpit Chaudhary

Abstract-:StudyBay serves as a pioneering digital educational platform which helps different learner populations develop skills while accessing knowledge. The platform combines specific resource recommendation along with customizable educational pathways and selected materials from experts while supporting learners to work together through shared tools. This system incorporates four major components: a User Dashboard that allows users to view progress and handle course administration while also featuring a Resource Hub for educational material retrieval and Collaboration Spaces for peer engagement alongside a forthcoming AI-powered Recommendation Engine that suggests personalized content. The system implements basic accessibility functions attached to user-friendly features alongside forthcoming development efforts that aim to embed AI functionality for advanced personalization of learning content. The user interface runs on React web technologies while Node.js manages the backend operations through PostgreSQL and MongoDB databases for maintaining solid data management. StudyBay wants to spread education opportunities to every student so learning gaps between communities can disappear while providing perpetual skill growth opportunities.

DOI: 10.61137/ijsret.vol.11.issue2.473

Published by: Kajal Tripathi

Block Chain Based Secured Privacy Preserved Frame Work for Smart Cities
Authors:-E.Ezhilprasath, R.Priya Anand

Abstract-:Smart cities are changing fast with the addition of IoT, cloud computing, and AI. Yet, the higher connectivity also translates into important security and privacy issues. This paper suggests a blockchain-based architecture to provide safe, decentralized data management and privacy protection in the context of smart cities. The architecture leverages distributed ledger technology, smart contracts, and encryption schemes to implement transparency, immutability, and selective privacy for city-scale applications like smart grids, healthcare, and traffic. We illustrate the effectiveness of the architecture using a prototype deployment and compare its performance in terms of latency, throughput, and security.

DOI: 10.61137/ijsret.vol.11.issue2.472

Published by: Kajal Tripathi

Vision-Based Intelligent Attendance System Using Real-Time Facial Recognition and Liveness Detection
Authors:-Kanishkar K, Nandhini K

Abstract-:The suggested system automates and improves the accuracy of attendance management in business and academic settings by presenting an intelligent vision-based attendance tracking solution that makes use of biometric facial recognition. The system securely records attendance, captures real-time facial data, and verifies identities against a pre-registered database by utilizing real-time face detection and recognition technologies. The system, which was created with Python, OpenCV, Tainter, SQLite, and a face recognition module, provides administrators with an easy-to-use interface for managing student profiles and creating attendance records. A backend database and graphical user dashboard are integrated to guarantee real-time processing, reduce human error, and successfully block proxy attendance. This solution supports the development of intelligent institutional infrastructure by offering a scalable, safe, and effective substitute for conventional attendance techniques.

DOI: 10.61137/ijsret.vol.11.issue2.471

Published by: Kajal Tripathi

Online Auction System Using Blockchain Technology
Authors:-Dipali Phad, Shruti Jadhav, Harshada Rane, Saish Shinde, Prof. P V Nagare, Professor P. V. Nagare

Abstract-:Online auction platforms have revolutionized the way digital assets and products are bought and sold. However, traditional auction systems are typically hosted on centralized servers, exposing them to several vulnerabilities such as data tampering, single points of failure, and manipulation of bid values. This research paper proposes an Android-based decentralized online auction system that integrates a custombuilt blockchain ledger using the SHA-256 hashing algorithm to store all bid records securely. Unlike existing blockchain auction platforms that use smart contracts our system excludes smart contracts entirely and instead uses a simulated recharge wallet for handling virtual bid payments. Firebase is utilized as the backend database to handle authentication and real-time data sync. The system architecture promotes trustless interactions while remaining lightweight and mobile-accessible. This paper discusses the detailed architecture, blockchain logic, wallet mechanism, and the system’s realtime capability, showing its potential as a practical and secure auction platform without needing smart contracts.

DOI: 10.61137/ijsret.vol.11.issue2.470

Published by: Kajal Tripathi

Emotionally Intelligent Robots: Advances in Social AI for Elderly and Companion Care
Authors:-Sindhu.K

Abstract-:The integration of emotion recognition capabilities into robots has opened new possibilities for enhancing social interactions in various fields, including elderly and companion care. Emotionally intelligent robots (EIRs) are designed to recognize and respond to human emotions, creating a more empathetic and supportive interaction. These robots, empowered by advancements in artificial intelligence (AI) and machine learning, can offer personalized support, alleviate feelings of loneliness, and assist with daily tasks for individuals who may experience emotional or physical challenges. This paper explores the development of emotionally intelligent robots, their applications in elderly care, the ethical considerations surrounding their use, and the potential societal impacts of their adoption. Through case studies and examples, it highlights how these robots can be used to enhance the quality of life for the elderly, particularly in terms of social interaction and emotional well-being.

DOI: 10.61137/ijsret.vol.11.issue2.469

Published by: Kajal Tripathi