Our Projects

What we've built so far, with full source code and documentation.

Hardware Sub $100 <10 µm

PhotonPeek – Photon Scanning Microscope

Arduino-controlled scanning microscope that generates 2D and 3D intensity maps. A 650nm laser rasters over a sample while a photodiode captures reflected intensity at each coordinate. A Python GUI handles acquisition, FFT sharpening, deconvolution, and optional neural upscaling.

  • Laser raster scanning methodology
  • Python-based GUI for real-time visualization
  • Export to CSV, PNG, and OBJ
Software C++ / OpenGL VSEPR

3D Molecular Visualization Engine

A 3D molecule viewer built with C++ and OpenGL. Enter a formula or build atom by atom — it calculates VSEPR geometry, bond orders, formal charges, and dipole moments on the fly with a custom physics engine.

  • Real-time force-based physics
  • Supports 118 elements
  • Auto-Resonance and VSEPR calculation
Software Data Analysis Python

FRC Auto-Scouter

A Python-based FRC strategy engine. Leverages The Blue Alliance API and Statbotics to generate predictive rankings, compatibility "Fit Scores", and Monte Carlo match simulations. (updated for 2026)

  • Team Fit Score Algorithm
  • Match Prediction & Simulation
  • Easy to use interface
Software Hardware AI

Rachel Vision

Uses an ESP-32 S3 Dev module to process microphone information to send back to a server for AI processing. If the AI determines it needs additional context, it will take a snapshot from the ESP-32 AI Thinker camera, then speak the output through a speaker.

  • Real-time AI processing
  • Image recognition and analysis
  • Seamless integration with ESP-32 hardware
Software Simulation VectorSIM

VectorSIM

A vector-based simulation project that explores field motion, force visualization, and interactive dynamics in a compact research-friendly format.

  • Vector field simulation and visualization
  • Interactive motion and force modeling
  • Open source repository on GitHub
Hardware AI Spatial Awareness

Visionless Walking Assistance System

Uses an ESP-32 S3 Dev module to process information from a VL53L1X ToF laser rangefinder mounted on a pair of glasses to map the 3D space around the user. The system can distinguish between static and dynamic obstacles and alert the user to potential hazards through haptic feedback or audio cues, assisting those with visual impairments.

  • LiDAR: A ToF laser rangefinder sensor maps the environment around the user.
  • Spatial awareness: A statistical model can detect numerous forms of obstacles, both static and moving.
  • Wireless: All components are independent of each other and are connected via a central network.