Abstract
Abstract: There Are Many ML Models For Medical Sector Analysis Focus On A Single Disease. For Example, One Analysis Could Be For Diabetes, Another For Cancer, And Another For Skin Problems. There Is No Universal Approach That Can Forecast Multiple Diseases Using A Single Analysis. By Utilizing The Flask API, This Project Proposes A System That Can Forecast Different Diseases. Diabetes, Heart Disease, And Breast Cancer Were All Examined In This Investigation. Other Disorders, Such As Skin Conditions, Fever Analysis, And A Variety Of Others, Can Be Added Later. Using Machine Learning Methods, Tensor Flow, And The Flask API, Numerous Illness Analyses Was Implemented. The Model Behavior Is Saved Using Python Pickling, And It Is Loaded Using Python Unpicking. As We Are Using Various Kinds Of Vast Health Data Sets, This Leads To Need For A Cloud For Accessing The Data So Here We Use Cloud For Our Data Access, Then The Remaining Process Get Held By Using The Various ML Algorithms
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