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Current Issue – Vol.5, Issue.1 (Jan-Mar 2026)

Current Issue – Vol.6, Issue.1 (January-March 2026)


A Vision-Based AI Framework for Real-Time Fatigue and Workload Detection in IT Professionals Using MediaPipe and a Fusion Neural Network

Yasha Goyal, Yuvraj Singh Rathore, Srashti Kawde, Vishal Chourasiya, Imran Ali Khan

Research Paper | Journal Paper

Vol.6, Issue.1, pp.01-07, Jan-2026

DOI: 10.5281/zenodo.18149292

Abstract References Citation Download

Abstract

In the prevailing work setting of the modern technology sector, screen usage, static positions, and cognitive engagements of the brain contribute to physical and mental exhaustion. Existing solutions to fatigue monitoring and alerting are often computationally complex and wearable and invasive technology. This research work introduces the use of a vision-tracking AI model that is non-invasive and exclusive to the specific requirements of the technical professionals. The model considers the eye movements, body positions, and human interactions to provide an accurate level of physical and mental fatigue. Through the learning concept of fusion learning, the model differentiates between the drastic and short-lived work patterns and the continuous physical and mental states. The proposed model is validated to collectively work in a timely and expert manner with very low computational complexity, thereby imparting expert warning notifications related to physical and mental fatigue. The model adheres to the concepts and requirements of Industry 5.0.

Key-Words / Index Term: Computer Vision, Workload Detection, Mediapipe, Fusion Neural Network, Machine Learning, Artificial Intelligence, MentalFatigue

References

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Citation

Yasha Goyal, Yuvraj Singh Rathore, Srashti Kawde, Vishal Chourasiya, Imran Ali Khan, "A Vision-Based AI Framework for Real-Time Fatigue and Workload Detection in IT Professionals Using MediaPipe and a Fusion Neural Network" International Journal of Scientific Research in Technology & Management, Vol.6, Issue.1, pp.01-07, 2026. DOI: 10.5281/zenodo.18149292

A Hybrid PQC + Multi-Source-Enhanced Entropy Key-Distribution and End-to-End Encrypted Email Client

Mansi Trivedi, Kashish Singh, Shivank Soni

Research Paper | Journal Paper

Vol.6, Issue.1, pp.08-14, Dec-2025

DOI: 10.5281/zenodo.18149482

Abstract References Citation Download

Abstract

The threat of quantum computing to classical cryptographic systems rises the necessity for development of quantum resistant security framework for digital communication. Current email systems depend completely on these centralized architectures which are vulnerable to server breaches, while their cryptographic foundation and currently used encryption standards and protocols (RSA and ECC), will face existential crisis and risk from quantum algorithms like Shor's algorithm. To address these challenges, this paper presents a unified and intelligent quantum-resistant email security framework that integrates post-quantum cryptography with multi-source entropy-driven key generation for protecting emails and attachments. The proposed system employs lattice-based cryptographic schemes combined with AI-assisted randomness generation to enhance key unpredictability and resilience. Performance evaluation demonstrates a system efficiency of 90.32% with an effective 135-bit quantum-safe security strength, achieving a practical balance between performance and security with the framework ensuring true end-to-end encryption, guaranteeing that only authorized clients can access sensitive data even in the event of server compromise. Furthermore, the proposed approach provides a scalable foundation for future expansion into a comprehensive quantum-safe digital workspace incorporating secure collaboration tools, enhanced usability, and regulatory compliance.

Key-Words / Index Term: Post-Quantum Cryptography, Quantum-Safe Email, Multi-Source-Enhanced Security, Cryptographic Efficiency, Kyber Algorithm, Quantum Key Distribution, Entropy Generation, Secure Communication, Lattice-Based Cryptography, Quantum Resistance.

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Citation

Mansi Trivedi, Kashish Singh, Shivank Soni, "A Hybrid PQC + Multi-Source-Enhanced Entropy Key-Distribution and End-to-End Encrypted Email Client" International Journal of Scientific Research in Technology & Management, Vol.6, Issue.1, pp.08-14, 2026. DOI: 10.5281/zenodo.18149482