Here is the **Β§08 Creative Projects** section for Aisha Robinson: ---

Β§08 Creative Projects & Technical Portfolio

Aisha, your environmental engineering ambitions need a tangible portfolio that admissions readers can see, click through, and remember. The committee noted two high-value assets already in your profile β€” your water filtration system work and your Lake Michigan microplastics research with an AGU presentation β€” but neither appears to be documented as a portfolio-ready engineering project yet. That's the gap this section closes. Below are concrete project plans, tech stacks, and a GitHub strategy designed to transform your existing work into admissions-grade deliverables and add one new build project that rounds out your engineering identity.

Project 1: Water Filtration System β€” Engineering Case Study

Your water filtration installations are exactly the kind of hands-on engineering work that Northwestern and Michigan want to see from environmental engineering applicants. The goal here is to retroactively document this work as a formal engineering portfolio piece.

ElementDeliverableDetails
Design SpecsTechnical write-up (PDF + GitHub README)Document the filtration mechanism, materials chosen, flow rate calculations, and any water quality metrics you collected before/after installation. If you didn't collect quantitative data, consider running tests on a prototype unit now using a TDS meter (~$15) and turbidity measurements.
Visual DocumentationPhoto series + annotated diagramsPhotograph each stage of assembly. Use Canva or Figma to create annotated cutaway diagrams showing how water moves through the system. Label filtration stages clearly.
Impact MetricsData table + bar chartNumber of units installed, households served, measurable water quality improvement (PPM reduction, turbidity change). Use Python (matplotlib) or even Google Sheets to generate clean charts.
Failure Log"What Went Wrong" sectionAdmissions readers at top engineering programs love seeing iteration. Document at least 2-3 design problems you encountered and how you solved them.

Tech stack: Python (matplotlib/pandas) for data visualization, Figma for diagrams, GitHub for version-controlled documentation.

Project 2: Lake Michigan Microplastics β€” Research Portfolio Piece

Your AGU presentation is a significant credential, Aisha. Now package it as a standalone research portfolio item that demonstrates quantitative and scientific methodology skills β€” the kind environmental engineering programs specifically look for.

ElementDeliverableDetails
Research Summary2-page technical briefAbstract, methodology, key findings, and implications β€” written for a technical audience. This is distinct from your AGU poster; it should read like a mini journal article.
Data RepositoryGitHub repo with cleaned datasetUpload anonymized/cleaned data with a Jupyter Notebook showing your analysis pipeline. Include sampling methodology notes. Use Python (pandas, seaborn) for statistical visualizations.
VisualizationInteractive map or chartConsider building a simple Streamlit or Plotly dashboard showing microplastic concentration by sampling location along Lake Michigan. This transforms static research into a living, clickable project.
Presentation ArtifactAGU poster PDF + reflectionInclude the poster itself plus a 300-word reflection on what you learned presenting to professional scientists.

Tech stack: Python (pandas, seaborn, plotly), Jupyter Notebooks, Streamlit for interactive dashboard, GitHub for hosting.

Project 3: New Build β€” Environmental Sensor Network (IoT)

This is a new project to demonstrate that you can design and build from scratch β€” not just document past work. An IoT environmental sensor network ties directly to environmental engineering and shows the technical builder mindset that top programs value.

ComponentSpecificationPurpose
HardwareRaspberry Pi Pico W or ESP32 microcontrollerLow-cost, WiFi-enabled board for data collection (~$8-15 per unit)
SensorsWater temperature (DS18B20), pH (analog pH sensor), turbidity (TSW-30)Measure water quality parameters relevant to your environmental focus
Data PipelineMicroPython β†’ MQTT β†’ cloud dashboardSensors push readings every 15 minutes to a free ThingSpeak or Adafruit IO dashboard
VisualizationWeb dashboard (Streamlit or Flask)Real-time and historical water quality data viewable by anyone with the link
DocumentationFull GitHub repo with wiring diagrams, code, BOM, and setup guideReproducibility β€” another student could build this from your docs

Budget: ~$40-60 total. Tech stack: MicroPython, MQTT protocol, Python (Flask or Streamlit), ThingSpeak API, GitHub.

Why this matters: This project bridges hardware and software, shows you can work with real-world data collection (not just analysis), and directly connects to environmental engineering. Deploy even one unit near a local water source and you have a live, demonstrable project to link in your applications.

GitHub & Portfolio Strategy

Aisha, you need a public GitHub profile that admissions readers (and recommenders) can visit. Here's the structure:

  • Profile README: A pinned README.md introducing yourself as an aspiring environmental engineer. Include a one-line bio and links to your top 3 repos.
  • Repository structure: One repo per project β€” water-filtration-system, lake-michigan-microplastics, env-sensor-network. Each with a detailed README, photos/diagrams, and code.
  • Commit history: Start now and commit regularly. Admissions reviewers notice a steady commit graph over months β€” it signals sustained effort, not a last-minute sprint.
  • License & polish: Add an MIT license and clean folder structure to each repo. This signals engineering professionalism.

If you do not yet have a GitHub account, create one immediately β€” your username should be professional (e.g., aisha-robinson-env or similar).

Consider also creating a simple personal portfolio site using GitHub Pages (free). A single-page site with project summaries, photos, and links to each repo gives you a URL to include in the "Additional Information" section of your applications.

Build Timeline β€” Creative Projects Calendar

MonthActionsTarget Outcome
April 2026β€’ Set up GitHub profile + 3 empty repos with README stubs
β€’ Begin documenting water filtration project (photos, specs, data)
GitHub live; filtration write-up 50% drafted
May 2026β€’ Complete water filtration portfolio piece with charts and failure log
β€’ Format microplastics research as technical brief; upload AGU poster
2 of 3 repos populated with substantive content
June 2026β€’ Order ESP32 + sensors; begin IoT sensor network prototype
β€’ Build Jupyter Notebook for microplastics data; push to GitHub
Hardware in hand; microplastics repo complete
July 2026β€’ Wire sensors, write MicroPython data collection code
β€’ Deploy prototype unit; begin collecting real data
Working prototype collecting live readings
August 2026β€’ Build web dashboard for sensor data
β€’ Launch GitHub Pages portfolio site linking all 3 projects
All 3 projects portfolio-ready; personal site live
September 2026β€’ Polish all repos (README edits, diagram cleanup)
β€’ Gather portfolio URL for Early Action applications (see Β§10 for EA/ED strategy)
Portfolio finalized for application season

How This Connects to Your Target Schools

  • Northwestern: Their environmental engineering program emphasizes interdisciplinary problem-solving. The IoT sensor project shows you can bridge hardware, software, and environmental science β€” exactly the profile their McCormick School values.
  • University of Michigan–Ann Arbor: Michigan's College of Engineering looks for students with demonstrated research ability. Your microplastics research with AGU-level presentation, combined with a live data project, signals research readiness.
  • Spelman College: Spelman's growing STEM programs value community-oriented science. Your water filtration work β€” especially if you emphasize households served and community impact β€” aligns powerfully with their mission.

Bottom line, Aisha: You already have the raw material for a compelling engineering portfolio. The work now is packaging, documenting, and adding one new build project that shows you can go from idea to working prototype. Start your GitHub this week β€” every commit from now through September builds your case.