Symptoms based Disease Prediction Web Application

Nowadays the way people seek health-related information that is undergoing significant changes worldwide. One major challenge is the difficulty that individuals face in finding trustworthy online resources or information about illnesses, diagnoses, and treatment options. A solution lies in creating a recommendation system for doctors, patients and medications that utilizes review mining to simplify this process and save time. Four machine learning algorithms are used together to achieve around 96% accuracy. It provides departments and doctors information based on prediction to users. It focuses on securely storing patient history for future references integrating advanced password hashing techniques as well as JWT (Jason Web Token) based authentication. It aims to improve healthcare accessibility to reduce patient confusion for faster as well as informed decision making. However, understanding complex medical language can be overwhelming for non-specialist users. The vast amount of medical data is there across different platforms which further complicates their search. To address these issues, such a system must be designed to cater specifically to the needs of the healthcare sector, ensuring it remains userfriendly and easy to understand for all individuals.