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
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…
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…
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…
Attendance systems built around manual roll calls or RFID and biometric cards still fall prey to proxy attendance, take up too much of an instructor's time, and leave a paper trail that is hard to audit after the fact — a problem that only gets worse as class sizes grow and the t…
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…
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…