Skip to content

VCU-CS-Capstone/CS-25-332-Ai-Personalized-Science

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

125 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CS-25-332 AI Personalized New Science

VCU College of Engineering

This project has potential to keep engineers and scientists up to date on their area of expertise. This is done by using AI and LLM's to organize and deliver personalized science to users that is more in-depth than manual searching and recommendations.

The directory structure in this GitHub is to allow the project to have all its resources self-contained. Open Source software should not just be a repository of code. There are a number of directories to help you and others who will follow in your footsteps. It'll also allow the Linux Foundation OMP Mentorship program to keep track of your project and get a better understanding of the problems you encountered during the development of this project.

Folder Description
Documentation all documentation the project team has created to describe the architecture, design, installation, and configuration of the project
Notes and Research Relevant helpful information to understand the tools and techniques used in the project
Project Deliverables Folder that contains final pdf versions of all Fall and Spring Major Deliverables
Status Reports Project management documentation - weekly reports, milestones, etc.
scr Source code - create as many subdirectories as needed

Note: Commits behind this fork could be automatically synced, meaning that changes made in the template are pushed into your repo. Please do not discard commits ahead (these are the updates you make to this repository).

Project Team

  • Tom Arodz - VCU College of Engineering - Mentor
  • Tom Arodz - VCU College of Engineering - Technical Advisor
  • Tom Arodz - VCU College of Engineering - Faculty Advisor
  • Kyle Vinod - Computer Science - Project Manager/Logistics Manager
  • Ryan Ta - Computer Science - Financial Manager/Test Engineer
  • Katie Baires - Computer Science - Manufacturing Engineer/Systems Engineer

About

AI implements LLM learning models to alert users about information that is relevant to their interests in a way that is more in-depth than keyword-based and history-based recommendation systems.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 67.2%
  • HTML 12.9%
  • CSS 10.1%
  • JavaScript 9.8%