GamePigeon Solver - AI-powered game solving script

GamePigeon AI Solver

Under Development

Collection of AI-powered scripts that achieve superhuman performance in GamePigeon games. Features include a world record-breaking (321,900 points) WordHunt solver using OCR and PPO algorithms, a precision Darts AI that can hit any target perfectly, and an Anagrams solver. Built with advanced computer vision and reinforcement learning techniques for automated gameplay optimization – completely hands free. Requires iPhone mirroring through macOS 15 Sequoia.

Python PyTorch OpenCV PPO OCR AI/ML
TigerApps AI Assistant - Campus AI helper interface

Princeton AI Campus Assistant (Tay)

Active Development

AI-powered campus (Today - Tay) assistant serving 450+ daily users, featuring real-time geospatial integration and optimized email processing. Built with Python and integrated with Google Places API. The system provides instant responses to campus-related queries, helping students navigate academic life more efficiently.

Python JavaScript Google API AI/ML MongoDB
Advanced Data Structures and Algorithms project interface

Advanced Data Structures & Algorithms

Completed

Collection of advanced data structures and algorithms implementations including percolation analysis, KD-trees, WordNet, and seam carving. Built as part of Princeton's COS 226 course. The implementations focus on efficiency and practical applications in real-world scenarios.

Java Algorithms Data Structures Machine Learning
Physics Kinematics Solver GUI interface

Physics Kinematics Solver

Completed

Advanced physics calculator for solving one and two-dimensional kinematics problems. Features an intuitive GUI and handles complex motion calculations. The application provides step-by-step solutions and visual representations of physics problems.

Java GUI Physics Education
Instagram Follower Analyzer dashboard interface

Instagram Follower Analyzer

Active Development

Web application to analyze Instagram followers and following data, identifying non-mutual connections using a C-based analyzer hosted on Heroku. The system processes large datasets efficiently and provides detailed analytics about follower relationships.

I initially wrote this during my COS 217 (Intro. to Programming Systems) class to force myself to get more familiar with C instead of studying or reading that boring asf textbook oop... the hardest part was deploying to Heroku on C despite them having a separate architecture.

C Python React Flask