Laser Odometry Verification System
CompletedUses distance sensors, filtering, and synchronization to verify robot position against a primary tracking system.
Projects
Things I’ve built, tested, and learned from.
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Web · Robotics · C++Personal Portfolio
In progressA responsive personal website for my projects, coursework, résumé, and contact information.
Binary Search Tree & Map
CompletedBuilds recursive templated binary-search-tree and map abstractions with traversal, iterators, copying, and memory management.
List & Text Editor
CompletedImplements a linked-list-backed text buffer with cursor movement, insertion, deletion, and row and column tracking.
Bag-of-Words Classifier
CompletedTrains a probabilistic text classifier with sets, maps, label priors, word likelihoods, and log-probability scoring.
Euchre Game Simulator
CompletedModels cards, packs, players, dealing, trump selection, trick scoring, and automated player strategies.
Image Processing - Resizing
CompletedResizes PPM images with seam carving by computing pixel energy, cost paths, and removable seams.
Project details
Laser Odometry Verification System
This robotics system uses distance-sensor measurements to independently verify a robot’s estimated position against its primary tracking system. The readings are filtered and synchronized before comparison, reducing the effect of noisy sensor data.
The project combines sensor integration, data filtering, and robot control to provide a secondary position check when evaluating odometry performance.
Project details
Bag-of-Words Classifier
This C++ text classifier trains on labeled CSV discussion posts and learns how strongly each unique word is associated with a topic. It treats each post as a bag of words, so word order and repeated terms do not affect the result.
Sets and maps store the vocabulary, label totals, and word frequencies. For a new post, the classifier combines label priors and word likelihoods into a log-probability score, then chooses the highest-scoring label. Fallback estimates handle unseen words when the input contains unfamiliar vocabulary.