Member-only story
How to use GPT-4V For Stoplight Report
Efficient creation of a stoplight report with data dashboard images
7 min readMar 4, 2024
Author
- Yunzhong Zhang (ORCID: 0009–0002–8177–419X)
Introduction
Comparing data dashboards is crucial for understanding trends and performance differences. Traditionally, this task required manual effort, which was slow and sometimes inaccurate. Now, thanks to OpenAI’s GPT-4 with Vision (GPT-4V), we are able to automate and improve this process. This article introduces how to use GPT-4V to compare two data dashboards quickly and accurately.
Traditionally, to compare two data dashboards and generate a stoplight report that highlights the differences between them, the process requires the machine to possess the capability to recognise and compare text within the images. This involves at least three steps:
- Text Extraction: Initially, data displayed on both dashboards must be extracted. This is achieved through Optical Character Recognition (OCR), which extracts text from the images.
- Data Extraction (Feature Selection): The next step is to identify the key metrics and features presented in both dashboards, focusing on the essential data for comparison.
- Comparison and Stoplight Report…