Disease Prediction and Ayurvedic Guidance Applying Machine Learning

Awareness in integrated healing approaches such as Ayurveda with modern technology like machine learning (ML) has developed due to the increasing availability, demand and need for provision of healthcare services. The initiative called “Disease Prediction and Ayurvedic Guidance” seeks to address diseases like stomach upset and headaches through symptom reports that users have made in order to prevent the occurrence. At the point when a health issue is identified beforehand, the platform will provide tailored therapy suggestions. The project utilizes decision tree algorithms to create an efficient and easy to-understand model for accurately diagnosing diseases by studying different symptom patterns. Analysis of models showed that the Decision Tree model performed well with an accuracy of 94.74%, recall rate of 85.71% and an F1 Score of 87.88%. By integrating machine learning with Ayurvedic principles this project introduces an approach to modern healthcare by combining the predictive power of decision trees with the holistic and preventive aspects of Ayurvedic medicine.