With the completion of week 4, we have successfully developed both the admin and cashier portals, culminating in the creation of our robust platform. Now, it is time to make it accessible to the public. Our final task is to deploy our website, ensuring its availability for widespread usage and seamless user experience.
The simplest way to deploy your website can be using github-pages. The resources below give a step-by-step guide to deploy your website. You can try any one of the methods for deployment.
Another platform that you can use for deployment is azure. All students enrolled at IIT Delhi (or any other educational institute) are eligible for a free Microsoft Azure account. Follow the steps to create your account.
Azure Account Setup: Visit Azure for Students page. Click on the “Start free” button. Sign in using your IITD Kerberos ID and password.
Complete the sign-up process and verify your account. No credit card is required for this. You will be given a $100 credit to use Azure services for free.
This task is for those who are doing both ML and Frontend.
Your task is to integrate the Machine learning model with the frontend of the website. The data is not available entirely for your model, however there will be brownie points if you can show your model’s output for dummy points that you make. Try integrating the optimum pricing model, which adjusts prices according to the current market scenarios. There are several resources available online for this, read more about this.