automatic-face-detection-and-recognition

An exploration and implementation of advanced face detection and re-identification techniques using Viola-Jones, MTCNN, and VGGFace models in Python

cats-vs-dogs-image-classification

A machine learning project leveraging transfer learning with pre-trained CNN models to classify images as either cats or dogs.

fashion-clothing-classification

An end-to-end project using TensorFlow and Keras for clothing classification with CNNs, focusing on practical implementation and evaluation through k-fold cross-validation on the Fashion-MNIST dataset

handwritten-numbers-classification

Use the MNIST dataset to predict handwritten numbers

housesfeaturesprediction

Prédiction des prix et autres caractéristiques des maisons

interest-point-detection

Détection de points d'intérêt dans les images avec des détecteurs KLT et Harris-Förstner, à travers une interface utilisateur dynamique permettant des ajustements d'hyperparamètres en temps réel et la sauvegarde automatique des résultats.

nizarzerouale

opencv-tutorial

Explore the fundamentals of computer vision with OpenCV through hands-on tutorials covering camera calibration, stereo image processing, 3D effects, and depth map creation

process-description-into-bpmn-with-llms

This project aims at automizing the construction of BPMN diagrams with the use of LLMs and pm4py for the extraction of data from textual process description.

summarize-large-pdfs-with-ai

Python project that automates the process of extracting and summarizing text from PDF documents. It uses advanced NLP techniques and OpenAI's GPT models to transform large documents into concise, coherent summaries.

u.s.-medical-insurance-costs-analysis

This Python project delves into analyzing U.S. medical insurance costs using the insurance.csv dataset to investigate how patient demographics affect insurance charges.