This project focused on creating mapping reports to highlight geographic and linguistic disparities in OB/GYN service availability across Kansas. The objective was to provide visual evidence for healthcare researchers and policymakers to better understand provider distribution, identify underserved regions, and highlight language access barriers for Hispanic populations. The deliverables included static maps of provider clusters, Spanish-speaking access segmentation, and a custom symbolic visual to humanize the access challenge. 

To develop a FHIR EHR Builder Application that maps database data to FHIR server resources. This enables EHR systems to efficiently share, retrieve, and post healthcare data using standardized FHIR-compliant APIs. The system ensures seamless interoperability between healthcare applications, supporting EPIC and Allscripts EHR platforms.

This project is an AI/ML-powered data extraction tool designed to automate the pre-construction estimation process, specifically for doors in architectural projects. The tool efficiently extracts door-related data from various architectural documents, including Floor Plans, Enlarged Plans, Door Schedules, Elevations, and Hardware Specification Documents.