LIVERGUARD – Liver Disease Prediction WebApp

With the increasing prevalence of lifestyle-related health problems, liver diseases such as fatty liver, hepatitis and cirrhosis have become a significant global concern. A large number of such cases remain undetected in the early stages due to lack of awareness and limited access to timely diagnostic tools. Many individuals fail to recognize abnormal liver function indicators or ignore the symptoms, which can lead to serious health complications. LiverGuard is a web-based liver disease prediction and awareness platform designed to help users assess their liver health using machine learning techniques. The system analyzes user-supplied medical parameters such as bilirubin levels, enzyme values, and other clinical inputs to predict the likelihood of liver disease. It also provides a liver health score along with personalized recommendations and preventive measures to improve overall well-being. Additionally, the platform includes features such as data visualization, chatbot assistance, and doctor recommendations to increase user engagement and support. LiverGuard aims to create an easy-to-use and accessible system that promotes early detection and encourages proactive health management. The system is developed using modern web technologies such as Flask for backend development, PostgreSQL for database management, and machine learning models for accurate predictions.