What if a Tamagotchi had a neural network and could learn stuff?

• Includes tools for visualising and understanding neural networks, Hebbian learning and Neurogenesis

• requires Python 3.9 or greater , PyQt5 and numpy

• The squid neural network makes autonomous decisions based on current state (hunger, sleepiness, etc.).
• Implements a vision cone for food detection, simulating realistic foraging behavior.
• Hebbian learning algorithm runs every 30 seconds (configurable)
• Experiences from short-term and long-term memory can influence decision-making
• Squid can create new neurons in response to his environment (Neurogenesis)

• Tracks various needs like hunger, sleepiness, happiness, and cleanliness.
• Needs change over time and affect the pet's health and behavior.
• The squid can become sick and die if his needs are neglected.

• Seven different personality types which influence behaviour

• Choose decorations to be placed into the environment which the squid will interact with!