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Projects

Here are some representative projects I have worked on, across machine learning, robotics, computer vision, and the web. Each project includes the problem, my approach, and what I learned.

You can find more of my work on GitHub and my technical writing on the blog.

14 projects

CrisisLens project

CrisisLens

1st Place, Hacklytics Databricks × UN Challenge. AI-powered crisis forecasting to help prioritize humanitarian aid.

Guido project

Guido

Most Innovative Hack among 280+ projects. Voice-controlled navigation with LiDAR mapping and ROS 2.

SimplyLaw project

SimplyLaw

1st Place Hackathon Winner. Four AI agents streamline personal injury cases through document processing, case analysis, and client communications.

FinFluence project

FinFluence

Short-form financial education with AI content screening and Solana token rewards. Built at SwampHacks XI.

CSIRO Image2Biomass Prediction project

CSIRO Image2Biomass Prediction

Predicting pasture biomass from images with a four-model vision ensemble and stacked regression.

Neighborly project

Neighborly

AI-assisted mutual aid that connects local offers, requests, and volunteers around urgent community needs.

Mind-Controlled Drone project

Mind-Controlled Drone

An EEG-based brain–computer interface connecting Muse headband signals to real-time drone commands.

RNA 3D Folding Pipeline project

RNA 3D Folding Pipeline

Exploring RNA structure prediction with sequence features, evolutionary context, and a dual-tower Transformer.

Multimodal Sensor Fusion project

Multimodal Sensor Fusion

Gesture recognition from motion and time-of-flight sensors using dedicated encoders and temporal fusion.

AI Burger Flipper project

AI Burger Flipper

Voice-assisted ordering and vision-guided burger retrieval with a six-axis robotic arm.

MusicMap project

MusicMap

Artist discovery through audio-feature clustering, similarity ranking, and Spotify track previews.

Crime Prediction project

Crime Prediction

Exploring historical Chicago crime records with temporal features, classification, coordinate regression, and map visualizations.

Stock Prediction project

Stock Prediction

Comparing Random Forest, support vector regression, and linear regression on market data with streamed model results.

VSLAM Drone Navigation project

VSLAM Drone Navigation

Exploring monocular camera tracking, feature matching, and relative-depth reconstruction for drone navigation.

with by michael