This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces | 2025 IEEE Conference on Artificial Intelligence (CAI)

Repository of the paper "Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks"

Personalized Interactive Localization-Adaptive Real-time Technology

Designing and testing AI models with distinct temperaments and dynamic behaviors. Structured frameworks for prompt engineering, temperament mapping, drift detection, and stress testing—built for end-user trust, adoption, and real-world impact.

Framework de Desarrollo para Modelo Etico Adaptativo

Standard ufficiale del Markup Emozionale ideato da Lorenzo Coppola

A human-centered ethical framework for AI based on emotional fulfillment.

What I am doing here

Counterfactual explanations for continuous reinforcement learning with simulation in T1D and Gym environments.

Mood Meets Media

Logic-first diagnostic engines for emotion, clarity, and control.

Neurostiv Framework — протокол адаптивных команд «человек–ИИ» на принципах нейросетей (связность, пластичность). Присоединяйтесь к разработке! Neurostiv Framework — a protocol for adaptive human–AI teams based on neural network principles (connectivity, plasticity). Join the development!