My Portfolio

Monte Carlo Forest Fire Simulation

Developed and implemented a Monte Carlo simulation to model forest fire spread. Identified key environmental factors that, when controlled, resulted in a 35% reduction in fire spread rate. Wrote a research paper detailing these findings, providing valuable strategies for firefighters to effectively manage and contain wildfires.

Ball-Tracking with K-Means

This ball-tracking project leverages a K-means clustering algorithm to track a ball's movement by detecting its color and analyzing its trajectory. The system monitors the ball's position over time, calculating its flight path, speed, and predicting its future trajectory.

Sobel Edge Detection

This project applied the Sobel filter for edge detection to enhance facial structures, improving recognition accuracy. By breaking images into grid matrices, key facial features were highlighted, contributing to a more accurate dataset for facial recognition algorithms.

Mouse Tracker and Hand Detection for Fruit Ninja

Developed a mouse tracking system that later evolved into real-time hand detection. By applying filters like Gaussian blur and edge detection, the software isolates the hand from the background in real-time video frames. Once the hand is segmented, it uses contour detection to identify the hand's shape and track its movement. This allows the system to monitor gestures, which can be applied to interactive applications like playing games or controlling interfaces through hand motions. The focus of the project was to create an accurate, responsive system for real-time gesture recognition. through hand gestures. The system tracked hand movements and translated them into game actions

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