Multi-Agents System from Scratch provides a comprehensive set of Python modules to build, customize, and evaluate multi-agent environments from the ground up. Users can define world models, create agent classes with unique sensory inputs and action capabilities, and establish flexible communication protocols for cooperation or competition. The framework supports dynamic task allocation, strategic planning modules, and real-time performance tracking. Its modular architecture allows easy integration of custom algorithms, reward functions, and learning mechanisms. With built-in visualization tools and logging utilities, developers can monitor agent interactions and diagnose behavior patterns. Designed for extensibility and clarity, the system caters to both researchers exploring distributed AI and educators teaching agent-based modeling.

Tris Universe is an AI-driven platform designed to give businesses unprecedented insights into employee behavior. By utilizing cutting-edge technology, Tris captures and processes data related to employee moods, trending topics within the organization, and sociometrics. This information is then presented in an intuitive dashboard, enabling business leaders to make informed decisions and improve overall productivity and employee satisfaction.

DermaProtect is an AI-driven application designed to aid individuals struggling with dermatillomania. The app offers specialized support to manage and eventually overcome the compulsive behavior of skin picking. By utilizing advanced AI technology, DermaProtect provides personalized recommendations, tracking features, and mental health resources to help users develop healthier skin habits and improve their overall well-being.