goal-oriented-ai

A Spring Boot Embabel demo focused on showcasing how @condition drives decision-making in an e-commerce replacement workflow. The agent checks conditions such as product stock availability: if a product is in stock, a replacement is issued; if the product is out of stock, a refund is initiated.

A simple Spring Boot project using the Embabel framework with a REST API–based meeting summarizer agent that leverages GOAP planning and LLMs for extracting key insights and action items.

A Spring Boot Embabel Shell demo showcasing a meeting summarizer agent that uses GOAP planning and LLMs to extract key points and action items from transcripts.

An AI-powered study assistant designed to help students plan, organize, and manage their studies efficiently using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).

Distributed Q-Learning for Age of Information optimization in massive IoT — Energy-aware, CSI-aware IRSA with PD-NOMA, nonlinear energy harvesting, κ-factor discretization, and slot-wise SIC decoding (REARLY-k)