AI-Driven Health: A Web App for Enhanced Healthcare Queries and Nutrition and Analysis S Waheeda Begum B Sushmitha J Vasavi K Roopavathi S Sameer Ahamed P Khadar Basha Volume 3, Issue 4, Pages 1-10, April 2026 The AI-Driven Health chat assistant is an innovative healthcare solution that seamlessly integrates technology and care, enabling users to have natural language conversations about symptoms, treatments, and general health inquiries. The chatbot functions as a virtual assistant, enabling users to inquire about medical concerns and obtain clear explanations. The nutrition bot utilizes the advan... Read More Article DOI: doi.org/10.47001/CJESR/2026.304001
Generative AI for Real-Time Cloud Security: Advanced Anomaly Detection Using GPT Models S Jubeda Banu S Oshin Wenona M Shamshunnisa Y Afaan Ahamad B Peddaiah B Noor Mohammed Volume 3, Issue 4, Pages 11-20, April 2026 Cloud computing has become the backbone of modern digital infrastructure, enabling scalable and flexible services for organizations worldwide. However, the rapid growth of cloud environments has also introduced significant security challenges such as unauthorized access, data breaches, and sophisticated cyberattacks. Traditional security systems rely on rule-based detection mechanisms that of... Read More Article DOI: doi.org/10.47001/CJESR/2026.304002
Driver Drowsiness Monitoring Using Convolutional Neural Networks Y Mohan Das S Athiya Firdous P Middahath Banu S Mahammed Muzameel M Akash V Girish Volume 3, Issue 4, Pages 21-28, April 2026 The advancement in computer vision has assisted drivers in the form of automatic self-driving cars etc. The misadventure are caused by driver's fatigue and drowsiness about 20%. It poses a serious problem for which several approaches were proposed. However, they are not suitable for real-time processing. The major challenges faced by these methods are robustness to handle variation in human f... Read More Article DOI: doi.org/10.47001/CJESR/2026.304003
An Artificial Intelligence and Cloud Based Collaborative Platform for Plant Disease Identification, Tracking and Forecasting for Farmers Y Mohan Das S Zeba Firdous Y Usha Rani A Anusha K Ashok B Udaya Rani Volume 3, Issue 4, Pages 29-38, April 2026 Plant diseases have a significant impact on crop yield and agricultural productivity. Early detection and continuous monitoring of plant diseases are important for helping farmers manage crops effectively. This paper proposes an Artificial Intelligence (AI) and cloud-based collaborative platform for plant disease identification, tracking, and forecasting. The system employs deep learning tech... Read More Article DOI: doi.org/10.47001/CJESR/2026.304004
AI-Powered Financial Fraud Detection System Using Machine Learning and Predictive Analytics for Real-Time Transaction Monitoring & Risk Prevention S Illiyaz J Prathyusha C Venkatesh S Premsagar P Vishal Karthik T Srikanth Volume 3, Issue 4, Pages 39-46, April 2026 Fraudulent activities in financial transactions pose significant challenges to businesses and consumers alike, leading to substantial financial losses and eroding trust in digital payment systems. This project presents a comprehensive machine learning framework aimed at real-time fraud detection and prevention in transactions. The framework leverages advanced algorithms and large datasets to ... Read More Article DOI: doi.org/10.47001/CJESR/2026.304005
Developing Geographic Information System-Based Spatial System to Identify Safe Shipping Routes Based on Bathymetric Analysis in Port Sudan Badria Ali Gismalla Mohammed El Amin Ahmed Babikir Mohammed Fatur Zaid Ahmed Mohmed Ibrahim Suliman Volume 3, Issue 4, Pages 47-55, April 2026 This study concentrates on the development of an integrated system for determining safe shipping routes between anchorage areas and Port Sudan, based on bathymetric analysis using Geographic Information System (GIS) techniques. Bathymetric data were collected and processed from nautical charts, and 3D seabed topography models were created, enabling the identification of shallow areas and mari... Read More Article DOI: doi.org/10.47001/CJESR/2026.304006
