Model Description:-This Flask web application implements a symptom-based disease recommendation system using association rule mining FP Growth Algorithm. Users select a disease, and the app dynamically displays only the relevant symptoms for that disease. Upon selecting a symptom, the system predicts additional possible symptoms with their support, confidence, and lift values. It leverages a dataset of disease-symptom associations to provide accurate and data-driven recommendations. The app ensures a smooth user experience with dependent dropdowns and error handling. Please enter realistic type of data and appropriate values for better performance of model
It is deployed on my website
https://mlproject-basic.onrender.com/
