A collection of things I’m exploring, building, and thinking.
This ongoing computer vision research project aims to develop a system that can automatically detect arrows and accurately determine their point of impact on a target. The focus is on leveraging techniques such as motion analysis, contour filtering, and region isolation to build a robust pipeline that performs reliably in real-world conditions. By refining each stage—from target detection to arrow tracking the project lays the groundwork for intelligent scoring systems in archery and similar applications.
With the growing popularity of reinforcement learning in areas such as game development, new frontiers have opened in the world of AI. This team set the goal to implement artificial intelligence in a hide and seek game. We designed and built the game from ground up using the Python and Pygame libraries.
Statisfy is a web application that connects to your Spotify account and analyzes your listening behavior to uncover meaningful insights about your music preferences. It highlights your top artists, tracks, and genres over various time ranges, while also exploring patterns like mood, tempo, and vocal presence. Built with a focus on clean design and intuitive interaction, Statisfy transforms raw listening data into a personalized musical profile, giving users a deeper understanding of their evolving taste and habits.