Image Encryption and Decryption Using Chaotic - DNA Algorithm S Iliyaz G Inthiyaz Basha G Hemamalini C Rajendra Sai R Upendra A Chandra Sekhar Volume 5, Issue 4, Pages 1-6, April 2026 In the era of digital multimedia, securing images during storage and transmission is paramount due to escalating cyber threats and the inherent vulnerabilities of traditional ciphers like AES to image-specific attacks such as differential and statistical analysis. This paper proposes an advanced hybrid Chaotic-DNA encryption scheme that integrates the unpredictability of chaotic logistic maps... Read More Article DOI: doi.org/10.47001/ICJES/2026.504001
OTP Based Cardless Transaction System Using Face Recognition for Secure Financial Operations S Waheeda Begum Shaik Nazia M Pavan Kumar G Mohammad Azmal E Siva Ganesh R Murali Volume 5, Issue 4, Pages 7-13, April 2026 Banks provide ATM cards for services such as cash withdrawal, balance inquiry, and fund transfer. However, physical cards can be stolen, cloned, skimmed, or damaged. To address these issues, we propose a cardless ATM transaction system using OTP and face recognition. The system supports new user registration with name, account number, and mobile number, and existing user login. Transactions ... Read More Article DOI: doi.org/10.47001/ICJES/2026.504002
Deep Learning Based Blood Group Detection Using Fingerprint S Jubeda Banu C Kamalanath S Sana Tasleem M Ameesha Siddiqa B Sohail Khan D varshitha Volume 5, Issue 4, Pages 14-24, April 2026 Blood group identification is an essential process in medical diagnostics, particularly for blood transfusion, emergency care, and organ transplantation. Conventional blood typing methods rely on laboratory testing, which can be time consuming and requires trained medical personnel. Recent advancements in artificial intelligence and biometric analysis have introduced alternative techniques fo... Read More Article DOI: doi.org/10.47001/ICJES/2026.504003
Decoding Guest Experiences: NLP-Driven Sentiment Analysis of Hotel Reviews Y Mohan Das C Lakshmanna N Renuka Chowdary S Mounika S Mahammad Asif Volume 5, Issue 4, Pages 25-32, April 2026 This project presents a real-time sentiment and emotion analysis system designed to decode guest experiences from hotel reviews. Customer reviews contain rich, unstructured textual information that reflects satisfaction, complaints, expectations, and emotional states. Traditional manual review analysis is slow, inconsistent, and prone to human bias. To address this challenge, the proposed sy... Read More Article DOI: doi.org/10.47001/ICJES/2026.504004
Predictive Weather Modeling Through Satellite Imagery and Deep Learning Techniques S Iliyaz Shaik Mahaboob Basha Sana Shalini D. Hasen Basha T. Mahammad Tahir P.Rajesh Volume 5, Issue 4, Pages 33-40, April 2026 Satellite image–based weather prediction leverages deep learning to enhance climate monitoring and forecasting accuracy. It focuses on automatically learning atmospheric patterns from extensive satellite data. Traditional weather systems face challenges such as high computational complexity and low accuracy in extreme events. They also rely heavily on physical simulation models, limiting r... Read More Article DOI: doi.org/10.47001/ICJES/2026.504005
Intelligent Churn Prediction Using In E-Commerce Using Conversational Analytics S. Iliyaz P. Mounika K. Shirisha T. Saranya K. Venkatareddy V. Narendra Maruthi Volume 5, Issue 4, Pages 41-51, April 2026 Businesses must compete fiercely to win over new consumers from suppliers. Since it directly affects a company’s revenue, client retention is a hot topic for analysis, and early detection of client churn enables businesses to take proactive measures to keep customers. Consequently, this study aims to advise on the optimum machine-learning strategy for early client churn prediction. The goa... Read More Article DOI: doi.org/10.47001/ICJES/2026.504006
