The project showcases the implementation of the NEAT algorithm in Python to play a Flappy Bird-like game. It orchestrates the evolution and evaluation of a bird population through successive generations until the fitness threshold is met. The ultimate winner genome, demonstrating exceptional gameplay, is saved as a pickle file as the main output.
I am a seasoned web developer with 5 years of experience in diverse industries such as e-commerce, education, finance, and insurance.
I hold a Master's degree from the University of San Francisco, where I currently contribute to the development of innovative AI solutions at the Innovation Hive.
With a robust background in software engineering, data science, and mathematics, I am passionately committed to advancing these fields and navigating the dynamic landscape of software research.