Nittany-AI-Rapid-Prototyping-Code

Nittany AI Rapid Prototyping & Deployment Code is just a starting point for your project. You don't have to use this specific stack, however the benefits of this stack is using python libraries like for tensorflow, sci-kit learn, pandas, numpy, then getting those technologies deployed to the cloud as soon as possible,

Currently this Prototype is missing a mobile application stack in place of Next.JS as alternative.

Prerequisites

• Install Node
• Install Python
• Install Git
• Create a Google account.
• Create a Github account.
• Create a Vercel account to Deploy Next.JS apps
• Create a Supabase account for database.
• Install VScode
• Add python app on VScode
• Add indent-rainbow on VScode

The Stack

Next.JS -> Vercel Flask App -> Google Cloud -> Supabase (PostgresSQL)

This stack doesn't cover database migration, & updating data in a database. Well for prototyping

Flask App + Python Machine Learning Code or Models

Next.JS

What you learn NextJS tutorial is best thing over to fully leverage this front-end, its also used in industry.

• Javascript
• React
• Web Development concepts

Next.JS is just a React Framework

it just has set of rules to build these things behind a web application

• User Interface
• Routing
• Data Fetching
• Rendering
• Integrations
• Infrastructure
• Performance
• Scalability
• Developer Experience