Kal's AWS Test Webpage
This is Kal’s test AWS-powered webpage, created as part of the IT-697 Experiential Learning course at SNHU. It is fully served using AWS Lambda, API Gateway, and other cloud services on AWS. This is the result of hands-on cloud engineering practice. Not bad for a cop with a computer :) Special thanks to Oscar83 for lending his name to the URL.
AI Police Report Review Demo
Embedded below is a proof-of-concept chatbot I built using Dialogflow. It is designed to review short police narratives and provide structured feedback related to clarity, completeness, chronology, and legal articulation.
The concept is not for AI to write reports or invent facts. Instead, the goal is to assist officers and supervisors by identifying vague language, missing detail, or weak articulation before a report is finalized. This keeps human authorship and accountability intact while showing how AI could support report quality and supervisory review.
Please do not enter any personally identifiable information or real case data.
Below is an overview of another tool built through vibecoding: a Landmine Press Load Calculator which combines fitness and cloud engineering into one clean demonstration of serverless technology.
What is a Landmine Press Load Calculator?
The Landmine Press Load Calculator estimates the real effective load lifted during a single-arm landmine press. Because the bar is anchored on a pivot, the weight is not purely vertical, as the pressing angle significantly changes the true load.
As I enjoy weightlifting, I wanted a way to approximate how much weight I was actually moving during this exercise, so I utilized ChatGPT to vibecode this calculator and deployed it using AWS.
- Bar weight contribution
- Added plate weight
- Pressing angle
- Vertical force component