Vision-Based Driver Drowsiness Detection Using Haar Cascade and Convolutional Neural Networks Y Mohan Das S Athiya Firdous Volume 3, Issue 6, Pages 1-9, June 2026 Driver drowsiness is one of the leading causes of road accidents worldwide, making the development of intelligent driver monitoring systems essential for improving road safety. This paper presents a vision-based driver drowsiness detection system using Haar Cascade classifiers and Convolutional Neural Networks (CNNs) to monitor the driver's alertness in real time. A webcam continuously captur... Read More Article DOI: doi.org/10.47001/CJESR/2026.306001
Predictive Analytics and Machine Learning for Real-Time Financial Fraud Detection S Premsagar P Vishal Karthik T Srikanth Volume 3, Issue 6, Pages 10-19, June 2026 The rapid growth of digital banking, e-commerce, online payment platforms, and financial technologies has significantly increased the volume of electronic transactions while simultaneously creating new opportunities for fraudulent activities. Financial fraud has become one of the most critical challenges faced by banks, financial institutions, and payment service providers, resulting in subst... Read More Article DOI: doi.org/10.47001/CJESR/2026.306002
Twin Route Forensics: A Secure Framework for Digital Text Evidence Authentication and Integrity Verification P Kamal Kumar G Chaitra M Vardhan B Kartheek Volume 3, Issue 6, Pages 20-29, June 2026 The rapid growth of cybercrime has significantly increased the importance of digital forensics in criminal investigations, where digital text evidence such as emails, instant messages, documents, log files, and electronic records plays a crucial role in identifying and prosecuting cyber offenders. Ensuring the authenticity, integrity, and confidentiality of digital evidence is essential, as e... Read More Article DOI: doi.org/10.47001/CJESR/2026.306003
AI-Powered Health Assistant Using Large Language Models for Personalized Healthcare Support S Anbarasan Sathish Kumar M Volume 3, Issue 6, Pages 30-40, June 2026 The rapid advancement of Artificial Intelligence (AI) and Large Language Models (LLMs) has transformed the delivery of healthcare services by enabling intelligent, interactive, and personalized medical assistance. The increasing demand for accessible healthcare information, coupled with the shortage of medical professionals in many regions, has highlighted the need for AI-powered virtual heal... Read More Article DOI: doi.org/10.47001/CJESR/2026.306004
Enhancing Cybersecurity through Machine Learning-Based Malicious Website Classification D.M.Karthik R.K.Ramachandran D.R.Rasakumar Volume 3, Issue 6, Pages 41-50, June 2026 The rapid growth of internet usage and online services has significantly increased the number of malicious websites designed to conduct phishing attacks, distribute malware, steal sensitive information, and compromise user privacy. These cyber threats pose serious challenges to individuals, organizations, and governments by exploiting unsuspecting users through deceptive web pages and fraudul... Read More Article DOI: doi.org/10.47001/CJESR/2026.306005
Intelligent Surveillance Using YOLO-Based Object Detection and Automated Mobile Alert System Carlo Miguel Garcia Kevin Angelo Torres Volume 3, Issue 6, Pages 51-65, June 2026 The rapid advancement of computer vision and deep learning technologies has significantly improved intelligent surveillance systems by enabling accurate real-time object detection and automated threat monitoring. Conventional surveillance systems primarily rely on continuous human observation, which is often inefficient, time-consuming, and prone to delayed responses during critical situation... Read More Article DOI: doi.org/10.47001/CJESR/2026.306006
