Looking back at the projects I built throughout high school: the classroom CO2 monitoring setup, the Kotlin fall detection app, the 3D printed pen holder patent, and the smartphone spectrophotometer: they all shared one common condition: zero access to commercial laboratory budgets.
At first, this felt like an unavoidable handicap. When competing against teams backed by university labs or industrial equipment, measuring optical absorbance with a smartphone and a handheld UV flashlight seemed hopelessly primitive.
Constraints as Design Filters
Over time, I noticed something unexpected: budget limits force you to understand physical fundamentals at a much deeper level.
- When you have a $50,000 spectrometer, you insert a cuvette, press a button, and write down a graph. You rarely think about sensor gain, stray ambient photons, or shutter calibration.
- When you are forced to measure absorbance using phone photos, you must manually control focal distance, pin camera ISO, calibrate exposure times, and calculate grayscale differentials in software. You are forced to understand every physical stage between the photon and the data point.
Similarly, when printing with a loose, second-hand 3D printer gantry, you cannot rely on sub-millimeter precision. You have to invent internal compliant geometries that absorb dimensional play without structural failure.
Direct Observation Over Speculation
Engineering problems are best discovered where you spend your real time. My classroom was hot and stuffy in winter because the windows were kept closed to trap heat; my grandfather was at risk of falling alone at home; school server queues crashed during annual course registration.
Starting from direct observation and applying simple, verifiable physics yields far more meaningful results than pursuing high-cost abstractions for their own sake.