Kene Iheanacho

A comprehensive Retrieval-Augmented Generation (RAG) system designed for analyzing clinical data from the MIMIC-IV dataset. This system enables natural language querying of patient medical records and provides a robust evaluation framework for comparing different language models and embedding approaches.

An End-to-end system for tracking customer activity with handwriting-based slip classification, simple threshold monitoring, and alerts.

An intelligent, autonomous product extraction system that crawls e-commerce websites and extracts structured product data using AI agents.

This project demonstrates Q-learning, a reinforcement learning algorithm, to train the agent to maximise the rewards by learning from the game and predicting the mole position in a Whack-a-mole game environment

This is a modular C# console application that reads a text file and analyses the words using a Binary Search Tree. It tracks word frequencies, the lines they appear on, and supports sorted and unsorted output. It was designed to demonstrate practical data structure implementation, particularly the Binary Search Tree.

A C++ command-line tool for artists and developers to quickly find and catalog media files across directory structures.