Case Studies
Real projects. Real constraints. Real results. Each case study documents a complete build — from initial problem to shipped product.
MedReminder
A custom-built touchscreen medication management ecosystem. Hardware, firmware, and web dashboard — shipped as one complete product.
Delivered Q1 2026
The Core Problem
Managing a daily medication routine sounds simple until you're actually doing it. Three separate meal windows. Multiple medications per window. Insulin that requires an exact unit count every single time. A missed dose isn't just an inconvenience — for someone managing Type 2 diabetes, it has real, compounding health consequences.
Phone alarms get snoozed. Phones get ignored. Generic solutions don't understand insulin dosing — a specific number of units must be injected each window, and that number needs to be recorded, not just acknowledged.
MedReminder is a purpose-built touchscreen device designed to solve exactly this. Not a phone app. Not a generic alarm. A dedicated piece of hardware that sits on a nightstand, knows what time it is, and tells you exactly what to take and when — every single day, without fail.
Why Hardware Instead of an App?
A phone is a distraction machine. It has notifications, social media, browser tabs, and a hundred other things competing for attention. A dedicated device has exactly one job. When you wake up in the morning and look at the nightstand, it shows you exactly what you need to see — no way to accidentally swipe away.
That single-purpose focus isn't a limitation — it's the entire product.
Hardware Specification
The device runs on an ESP32-2432S028R — a compact all-in-one board with a 320×240 resistive touchscreen, dual-core processor, and built-in WiFi. The entire system — UI, logic, web server, weather data, medication logging — runs on a chip smaller than a credit card.
Functional Logic
Breakfast runs 5am–noon. Lunch noon–3pm. Dinner 5pm–midnight. Outside windows, a clean clock shows time, date, and live weather via OpenWeatherMap. The display is always useful, even when no medications are due.
For insulin, tapping the card opens a custom numpad — enter the exact units, confirm, and it's timestamped. Every medication also has a Skip button. Skipped doses are recorded separately from missed doses, because the distinction matters clinically.
The Web Dashboard
Open any browser on the home network — full dashboard, no app install, no cloud, works entirely local. Today's summary, seven-day trend graphs, and a complete timestamped history log of every dose ever recorded.
Doses taken, skipped, missed + total insulin units
Visual compliance graphs across the past week
Complete timestamped log of every dose, skip, and missed window
Søren
A portable, AI-assisted smart water quality monitoring system. Translates raw sensor data into instant, human-readable feedback — powered by an ESP32 with a custom OLED interface and fully standalone operation.
Delivered Q2 2026
The Core Problem
Most people rely on visual inspection or taste to judge whether water is safe to drink. Neither method detects dissolved contaminants. In rural areas, remote regions, and even developed communities with aging infrastructure, water quality can vary significantly — and individuals typically have no practical way to assess it in real time.
Existing solutions are either lab-grade (expensive, slow, not portable) or passive (generic strips with no digital output). There was a clear gap for a device that gives immediate, understandable feedback in the field — no specialized knowledge required.
Søren was built to bridge that gap. A portable, always-ready device that measures water quality in real time and tells you — in plain language — whether the water is safe or not.
The Name
Søren was chosen deliberately — a human-centered name to give the project identity beyond a typical technical prototype. It reflects a shift from viewing this as just a sensor system to positioning it as a purposeful product focused on real-world impact. Good hardware deserves a name, not just a part number.
Hardware Specification
Every component was selected for portability, accessibility, and ease of replication. The entire device runs on a standard USB power bank — no wall outlet, no wires, no setup.
Functional Logic
The TDS sensor reads dissolved solids in real time. Raw ADC values are processed through a smoothing algorithm to reduce noise, then converted to parts-per-million (ppm) using a temperature-compensated formula. This conversion is critical — raw voltage readings are meaningless without it.
The ppm value is classified against established safe drinking water thresholds. Instead of showing a technical number, the OLED outputs a direct, human-readable verdict.
TDS within acceptable threshold — tap water typically 100–200 ppm
TDS above safe threshold — salt water tests at 1,000+ ppm, clearly flagged
AI-Assisted Engineering
Søren demonstrates what modern AI-assisted development looks like in practice. This wasn't AI generating a finished product — it was AI acting as a collaborative engineering tool that compressed the development timeline dramatically.
The conductivity-to-TDS conversion and temperature compensation logic — normally requiring days of research and debugging — was completed within hours using AI-guided code generation. The same approach was applied to ADC inconsistencies, signal smoothing, and overall system architecture.
Sensor logic, ADC calibration, and sampling routines built with AI assistance
TDS formula and temperature compensation — implemented in hours, not days
ESP32 ADC inconsistencies and signal noise diagnosed and resolved rapidly
Real-World Relevance
Access to safe drinking water remains a critical issue in many parts of the world — including rural and remote communities in Canada. Søren addresses this with a portable solution that delivers immediate feedback without requiring specialized knowledge or equipment.
Ideal Use Cases
- →Rural and remote communities
- →Northern Canada and Indigenous communities
- →Outdoor and recreational water sources
- →Educational and awareness programs
- →Emergency preparedness kits
Testing Results
- →Tap water: 100–200 ppm (flagged safe)
- →Salt water: 1,000+ ppm (flagged unsafe)
- →Real-time updates with stable readings
- →Reliable differentiation across water types
- →3D-printed enclosure in progress
More Projects Coming
New case studies added as projects are completed.
Undisclosed Project
Industrial sensor integration with custom dashboard and OTA updates.
Undisclosed Project
Full-stack SaaS MVP from concept to first paying customer.
Undisclosed Project
Real-time environmental monitoring with alerting and analytics.
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