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AI Based Disease Prediction and Remedy Recommendation System

Kavya B G and Dr. Kruthi R
Jul 2026 · International Journal of Advanced Research in Science, Communication and Technology · 0 citations

TL;DR

An AI-based system for predicting diseases along with recommending remedies is presented by employing Random Forest algorithm and considering the patients’ symptoms in addition to age, gender, blood pressure, blood sugar, cholesterol, BMI, heart rate, hemoglobin, stress, and sleep duration.

Abstract

AI and ML are being utilized for enhanced treatment, diagnosis, and prediction of diseases. However, most of the applications provide generalized treatment based on the symptoms provided with lesser emphasis on patient’s health factors. In this paper, we present an AI-based system for predicting diseases along with recommending remedies. This is achieved by employing Random Forest algorithm and considering the patients’ symptoms in addition to age, gender, blood pressure, blood sugar, cholesterol, BMI, heart rate, hemoglobin, stress, and sleep duration. Further, the suggested information includes the causes, diagnostic tests, diet chart, exercise, lifestyle, home remedies, prevention measures, and specialist consultation. The proposed application has been implemented as a web application with custom API and stack, user authentication, language translation, electronic health records, admin panel, and PDF report generation. The experimental results show that the Random Forest algorithm is effective in fitting the data with accurate prediction of diseases. The proposed AI-based tool can be considered as an intelligent companion for screening diseases with improved awareness and prediction for taking necessary precautions and seeking medical treatment.

DOI Semantic Scholar
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