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Volume 12 Issue 07
July 2026
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Author(s)
Dhinakaran R Jaikrishnan V Jaisankar S Kaviraj M Dr.R.Madhanmohan
Abstract
This Research Presents A Web-based Disease Prediction System, Deployed On Render, Utilizing Machine Learning To Diagnose Diseases Based On User-reported Symptoms. The System Employs An XGBoost Model, Trained On A Medical Dataset, To Predict Diseases With High Accuracy. Users Interact Through A Flask-powered Web Interface, Input Symptoms, And Receive Predictions Along With Precautionary Measures, Medications, And Dietary Recommendations. The System Is Accessible Online, Making It A Convenient Tool For Preliminary Diagnosis. Future Enhancements Include Real-time Symptom Analysis And Mobile Integration.
Keywords
Disease Prediction
Machine Learning
XGBoost
Flask
Healthcare.
Paper ID
IJSARTV11I4103050
Publication Date
April 9, 2025
Research Area
Computer Science And Engineering