Ebrahim Elgazar

A series of educational projects implementing the Q-Learning algorithm to solve classic environments from the Gymnasium library, including FrozenLake and Taxi-v3. The notebooks provide a step-by-step guide from theory to training, evaluation, and publishing agents to the Hugging Face Hub.

Authors: Ebrahim Elgazar

An AI-powered local search application for urban exploration. It combines natural language queries via the OpenAI API with efficient local pathfinding algorithms like A* and Dijkstra to help users discover points of interest and plan optimized routes in real-time.

Authors: Ebrahim Elgazar

A sophisticated flight price forecasting system using an Adaptive Neuro-Fuzzy Inference System (ANFIS). Built with TensorFlow, it uniquely combines the interpretability of fuzzy logic with the learning capabilities of neural networks for accurate predictions.

Authors: Ebrahim Elgazar

A comprehensive telemedicine platform integrated with Electronic Health Records. It coordinates clinician workflow management and features a website, mobile app, and an ML model for doctor specialty recommendations based on symptoms.

Authors: Ebrahim Elgazar, et al.

A deep learning tool for generating descriptive captions for Chest X-Rays. Trained on the Indiana University Dataset, it is designed to assist in radiological reporting by automatically describing key findings in medical images.

Authors: Ebrahim Elgazar

A standalone recommender system built to suggest a doctor's specialty based on patient symptoms. This Kaggle project leverages machine learning classification techniques to map symptoms to the most relevant medical fields.

Authors: Ebrahim Elgazar