This website is an integral part of the Zenith Go Hazard Detection System, designed to display captured images and hazard analysis results. Below is an explanation of the website's components and dependencies.
This initiative is part of the UXDG-490 course curriculum offered by the Savannah College of Art and Design. The project's objective is to conceptualize solutions for humanitarian needs and realize them through the process of prototyping.
The website's functionality is geared towards providing a detailed insight into hazard detection outcomes and their explanations, derived from the GPT-4 Vision Preview model. The following features are incorporated:
- Dynamic JSON Integration: The website dynamically retrieves and integrates JSON data generated by the GPT-4 Vision Preview model. This data includes hazard analysis results and associated reasons.
- Image Visualization: It facilitates the display of images uploaded by Zenith Go, offering users a visual representation of potential hazards identified within the captured images.
- Clear Presentation: The website organizes and presents hazard analysis results and reasons in a structured and comprehensible manner, ensuring ease of interpretation for users.