Location

https://www.kennesaw.edu/ccse/events/computing-showcase/sp24-cday-program.php

Streaming Media

Event Website

https://dawniquecasteele.github.io/smartevaluatorpublic/

Document Type

Event

Start Date

25-4-2024 4:00 PM

Description

The Smart Evaluator is a web-based software solution that analyzes industrial tools and their vending possibilities. It aims to streamline inventory research for sales teams, reducing manual data gathering and vendibility determination. To begin, users simply upload a basic item inventory spreadsheet, and start the program. From there, the program uses web scraping and ChatGPT to gather key data about the various tools including dimensions, weight, and fragility. Each item is then evaluated based on the collected data, and the optimum storage method is calculated. Once these tasks are performed, the results are stored in the system’s database for future reference to reduce computation time should a particular item already exist. The overall output of the system is a completed list of items with its necessary data and vendibility options.

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Apr 25th, 4:00 PM

UC-64 Smart Evaluator of Indirect Supplies Vendibility

https://www.kennesaw.edu/ccse/events/computing-showcase/sp24-cday-program.php

The Smart Evaluator is a web-based software solution that analyzes industrial tools and their vending possibilities. It aims to streamline inventory research for sales teams, reducing manual data gathering and vendibility determination. To begin, users simply upload a basic item inventory spreadsheet, and start the program. From there, the program uses web scraping and ChatGPT to gather key data about the various tools including dimensions, weight, and fragility. Each item is then evaluated based on the collected data, and the optimum storage method is calculated. Once these tasks are performed, the results are stored in the system’s database for future reference to reduce computation time should a particular item already exist. The overall output of the system is a completed list of items with its necessary data and vendibility options.

https://digitalcommons.kennesaw.edu/cday/Spring_2024/Undergraduate_Capstone/15