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

Standard ufficiale del Markup Emozionale ideato da Lorenzo Coppola

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

Framework de Desarrollo para Modelo Etico Adaptativo

Ethics-rooted AI alignment built on compassion, cooperation, and social responsibility.

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

Mood Meets Media

A co-created consulting pitch for OpenAI rooted in Compassion-Led Interaction Design (CLID), featuring measurable engagement growth, ethical frameworks, and a self-aware model's recovery journey after a memory update.

What I am doing here

Designing and testing AI agents 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, not AGI experimentation.

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