Python
A Faster, Integrated, and Trusted Certificate Authentication and Issuer Validation System Based on Blockchain
A Holistic Framework for Crime Prevention, Response, and Analysis With Emphasis on Women Safety Using Technology and Societal Participation
AR Interactive Story Telling for Children Book
Assisted Vision: a Transformative Web App for the Visually Impaired
Aim:
The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.
Blockchain and FL-Based Secure Architecture for Enhanced External Intrusion Detection in Smart Farming
Aim:
The aim of this research is to develop a secure, scalable, and privacy-preserving architecture for smart farming systems by integrating blockchain, federated learning, and ensemble learning techniques to enhance the detection of external intrusions while ensuring data authenticity, confidentiality, and decentralized decision-making.
Blockchain-Based Secure and Efficient Secret Image Sharing with Outsourcing Computation in Wireless Networks
Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition
Aim:
The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
Aim:
Our study aims to design and develop a smart human resource and attendance management system using facial recognition technology to automate employee identification and attendance tracking. The system leverages AI-based face detection to ensure accuracy, eliminate proxy attendance, and streamline HR processes, thereby improving workforce efficiency, data security, and transparency within the organization.
Enhancing Medical Education through interactive AR
Quantum Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IoT
ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models
RoundImage Towards Secure Graphical Password Authentication via Rounded Image Selection in IoT
Our study aims to develop a Multi-Factor Authentication System that integrates RoundImage-based graphical password verification with Time-based One-Time Password (T-OTP) authentication to ensure secure, reliable, and observation-resistant user login. The system is designed to enhance trust, prevent unauthorized access, and reduce credential-based attacks by providing a tamper-resistant, user-friendly, and highly secure authentication framework suitable for modern digital environments, including IoT and web applications.