picoders1/Multiple-Disease-Detection-System-Deployment-on-Cloud

Disease detection system combines the power of artificial intelligence and machine learning provide a template to predict multiple disease detection of patients.

Multiple Disease-Detection-System-Deployment-on-Cloud

Multiple Disease detection system combines the power of artificial intelligence and machine learning provide a template to predict multiple disease detection of patients.

End to End ML Model Deployment Explanation with step and Figure.

Step1- Create a GitHub repository & then we need to push the file from local system to that repository. After that place a setup.sh file

Step2- Next to Deploy the GitHub Repository to Render we need to create a new account & then do Login.

Step3- After Logging in we need to navigate into web Service

Step4- After that, we need to connect the target repository.

Step5- Next we need to give the address which will be use as url address & configure setup.sh file.

Step6- After all, set a startup & Build command to deploy in the Render Platform & The Create a web service.

Step7- Then Log will be generated based on shell & Startup command & generate network url.

Step8- Finally, The application is live to access in internet from any device with render platform.

Result & Outcome-

--- Implementation Snapshot ---

Thank You!!!