Abstract :

The Personalized Medical Recommendation System Is A State-of-the-art Health Platform Designed To Help Individuals Better Understand And Manage Their Well-being. With The Power Of Machine Learning, The System Predicts Potential Diseases Based On The Symptoms Users Input, Offering An Accuracy Range Of 80-95%. This High Level Of Precision Ensures That Users Receive Early Alerts About Possible Health Conditions, Empowering Them To Take Timely Action And Seek Appropriate Medical Attention. The System Doesn’t Stop At Predictions; It Goes A Step Further By Providing Highly Personalized Recommendations. After Identifying Potential Diseases, The System Suggests The Top Five Most Effective Medicines Suited To The User’s Specific Condition. In Addition To Medicine Recommendations, The Platform Offers Customized Diet Plans, Detailed Prescriptions, And Personalized Workout Routines. These Suggestions Are Tailored To The Individual’s Needs, Ensuring The Most Effective Course Of Action For Improving Health And Preventing Future Complications. Whether The User Is Managing A Chronic Illness Or Simply Looking To Improve Their Overall Health, The System Provides All-around Support. Built As An Intuitive Flask Web Application, The System Is Designed To Be User-friendly And Accessible From Anywhere At Any Time. Users Can Easily Navigate Through The Platform Without Feeling Overwhelmed By Complex Processes. The Simple Yet Powerful Interface Makes It Easy For Individuals To Input Symptoms, View Health Predictions, And Access Personalized Recommendations

Published:

25-8-2025

Issue:

Vol. 25 No. 8 (2025)

Page Nos:

407-414

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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