Noah Muller

Projects & Portfolio

Using technology to solve interesting problems, from clinical assessment to creative applications.

Applied Health Technology

Core projects designed to enhance assessment and improve client outcomes in health, fitness, and performance.

HPPAP – Open Source Pain Assessment Tool

HPPAP – Open Source Pain Assessment Tool

Standard 1-10 pain scales often fail to capture the full picture of a client's experience. To address this, I developed HPPAP, an open-source web app that provides a more comprehensive, multidimensional pain assessment, allowing clinicians to gain deeper insights into a patient's condition.

ReactTypeScriptVite
Advanced Calorie Estimator

Advanced Calorie Estimator

While standard MET calculations are a useful baseline, they don't account for individual differences in fitness and physiology. I engineered a more precise solution: a Python-based machine learning model trained on real-world data to provide a more personalized and accurate prediction of a client's energy expenditure during exercise.

Pythonscikit-learnPandas
AI-Powered Overhead Squat Assessor

AI-Powered Overhead Squat Assessor

A clinical tool designed for physical therapists and trainers to streamline movement screening. This application uses AI to analyze observational and goniometric data from an overhead squat, identifying potential muscle imbalances. It then generates a fully customizable, data-driven corrective exercise plan, complete with exercise alternatives and exportable reports, enhancing diagnostic efficiency and client care.

ReactTypeScriptGemini APITailwind CSS
AI Goniometer (Concept)

AI Goniometer (Concept)

Exploratory project using computer vision to estimate joint angles from video for remote assessments.

Next.jsTypeScriptMediaPipe

Explorations in software development

Broader experiments that show technical curiosity and range.

Portfolio Site

Portfolio Site

This site: a performant, accessible portfolio built with Next.js and shadcn UI patterns.

Next.jsTailwind CSSTypeScript
Tattoo Virtual Try-On App

Tattoo Virtual Try-On App

Uses Google's latest image model Nano Banana to generate tattoo designs, stencil, virtual try-ons, placement maps, and a final tatto brief that you can bring to your artist.

ReactCanvasOpenCV.js
AI Flashcard Generator App

AI Flashcard Generator App

Flash card generation from any given subject or notes. Includes folders to organize cards, and a quiz feature to test yourself.

Next.jsTypeScriptOpenAI API
Custom AI Agents

Custom AI Agents

Small agents for content summarization and task automation; experiments with tools and memory.

TypeScriptOpenAIMCP