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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-24Cited by 0

Predictive Modelling for Diabetes Risk Assessment: An Exploratory Data Analysis Approach

Shreyash Gade, Dr. Prakash Kene

Diabetes mellitus is a big health problem in the world. More people are getting it, and it can cause bad health issues. This study builds a model to find diabetes early. It uses a machine learning tool to identify the best result. The study uses full exploratory data analysis (EDA). It finds key risk signs like blood glucose level, body mass index (BMI), age, and insulin levels. These things are looked at to see how they are linked and how they affect who gets diabetes. The data’s class imbalance is fixed using resampling. This makes the model more true and fair. It is also easy to see why. It shows the key causes of diabetes. This work helps find diabetes early. It helps doctors make choices and check risk for people with diabetes. It does this by using ideas from data and machine learning tools

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-24

Evaluating Large Language Models Against Clinical Assessment Frameworks for Early Sepsis Detection in the ICU

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Timely recognition of sepsis remains difficult when early physiological abnormalities are subtle or incomplete. This study examined whether general-purpose large language models could discriminate sepsis risk from an initial ICU vital-sign snapshot as effectively as established c…

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-23

A Comprehensive Performance Analysis of Optimization-Enhanced Machine Learning Models for Breast Cancer Classification

Aryan Shrivastava, Neha Shrivas, Vivek Shukla

Breast cancer is currently one of the major causes of cancer-related deaths among women in the entire world, and early and correct diagnosis of breast cancer is vital in enhancing survival and the effectiveness of treatment. The use of machine learning (ML) methods to aid in auto…

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-24

An Intelligent Smartphone-Based Road Accident Detection and Emergency Alert System Using Multi-Sensor Data Fusion and Machine Learning

Jaladi Sravanthi, Lakshmi B

In the world, road traffic accidents are among the top causes of fatalities: There is a large risk of severe injuries and fatalities if an emergency response is late. This paper introduces an intelligent road accident detection and emergency alert system for a smartphone which is…

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-23

LIP Reading Using Neural Network and Deep Learning

Bandari Arjun, Mohammed Abdul Saad, Aaron Biju, G Udaya Sree

Lip reading, the task of inferring spoken words purely from visual observation of lip movements, remains a challenging problem even for trained human lip readers, who are typically able to correctly identify only about every second word. This paper presents an automated lip readi…

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-24

AI-Based Missing Person Identification and Tracking System

Dr. Chandrakanth G Pujari, Kannika D, H Kavana, Kavya R

Finding a missing person is a race against the clock, yet in most jurisdictions the process still depends heavily on manual effort: officers dig through paper case files, pass around printed photographs, and lean on personal memory to connect a fresh sighting with an older report…

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openalexInternational Journal for Research in Applied Science and Engineering Technology2026-07-24

A Comparative Analysis of AI-Driven Marine Debris Detection Methods for Indian Ocean Plastic Monitoring

Nimisha Nair, Darshan Gadekar, Nalaksh Randhawa, Roshan Kotkondawar, Krushna Taiwade

Plastic pollution continues to accumulate in marine environments at an alarming rate, with millions of tonnes entering the oceans annually. Given the length of India's coastline, early detection of floating debris is essential, as undetected objects may disperse, fragment, or sin…

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