Our organization is able to offer a virtual internship opportunity for 3 computer science students as a team to automate the processing and analysis of the Jupytyr Machine Learning program to streamline data mining process.

The primary focus for the student will be:

• Application Development - Selecting the best technologies and architecture for creating an automated Jupytyr notebook file processing application. Create a fully-functioning application for the following business requirements: 1) Batch job to read and load Jupytyr file from file system 2)An application to read Jupytyr file and process into smaller files in specific templates based on python commands 3) Create an output file for each jupytyr file using specific templates based on python commands 4) store processed outputs in PDF formats in output file system by use case name and command type

Machine Learning Software Solution - Creating a NLP solution that processes outputs from Jupytyr files based on commands used. Identify file types based on types of packages and commands used in Python files in Jypytyr notebook

Our goal at the end of this experience is: (please indicate the goal for this placement, or deliverable you expect the student(s) to complete, as exemplified below)

• Application Development - For the student(s) to create a fully functioning application. The deliverables are fully functioning solution that can be deployed as containers to integrate with products.
• Machine Learning Software Solution - For the student(s) to help us develop effective machine learning solutions that classifies Jupytyr files based on commands and packages used.

• Other duties the student may complete could include: (indicate other duties as exemplified below)
• Unit and integration testing

We will plan to communicate with our virtual intern using these communication tools: Microsoft Outlook, Sharepoint, Teams

Student's primary contact: (Gowri Selka, President

Secondary contact: (Srinivas Kolakaluri, CTO