Mamepetto

This is a Tech-demo prototype.

In the current stage "Mamepetto" is an AI-driven simulation game designed to replicate realistic behaviors and needs of a virtual pet with the idea based on the old-school popular "Tamagotchi". 

Core Gameplay Features:

- Needs System: Mamepetto has three core needs Hunger, Tiredness, and Toilet that deplete over time. 

-Actions and States: Depending on its state, Mamepetto can eat, sleep, or relieve stress, recovering its attributes dynamically. 

- Finite State Machine (FSM): Mamepetto autonomously chooses its actions based on its current needs and surroundings, adding depth to its behavior.

- Random Movements: Mamepetto wanders around the environment, exploring and staying active.

Item Detection: Mamepetto identifies items such as food, resting areas, and stress relief objects, prioritizing them based on their proximity and needs.

- Boundaries and Navigation: The game world has defined boundaries, ensuring Mamepetto remains within the playable area.

- HUD Integration: A heads-up display (HUD) tracks Hunger, Tiredness, and Toilet stats, providing real-time feedback to the player.

The game is planned to evolve into a version where the player can choose the virtual pet type and environment. More types of activities and a variety of food and toys will be added. The fate of the virtual pet will be completely in the hands of the player's choices. 

The project comprises several Unreal Engine 4.27 C++ Classes and a few Blueprint Classes.

Supported systems: Windows 10/11

Source code: https://github.com/En7r0/Mamepetto-16.01.2025