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.