FouadHellal

DataDrivenAI

AI projects for some datasets.

DjangoNetSphere

Django - Web - Network Automation

FouadHellal

Network-Anomaly-detection

Network Anomaly detection using multiple AI technologies

Network-Intrusion-Detection-with-Machine-Learning

This repository contains a comprehensive project on detecting network intrusions using various machine learning models. It includes data preprocessing, exploratory data analysis, feature selection, model training, and evaluation. The goal is to build robust classifiers to identify potential network threats accurately.

Plant-severity-disease-detection-website-using-Django

Plant severity disease detection and classification using U-net, then uploaded to a website using Django

U-net-for-plant-segmentation

U-net for plant images segmentation to detect the disease, and calculate the severity percentage.

FouadHellal/DataDrivenAI

AI projects for some datasets.

FouadHellal/DjangoNetSphere

Django - Web - Network Automation

FouadHellal/Network-Anomaly-detection

Network Anomaly detection using multiple AI technologies

FouadHellal/Network-Intrusion-Detection-with-Machine-Learning

This repository contains a comprehensive project on detecting network intrusions using various machine learning models. It includes data preprocessing, exploratory data analysis, feature selection, model training, and evaluation. The goal is to build robust classifiers to identify potential network threats accurately.

FouadHellal/Plant-severity-disease-detection-website-using-Django

Plant severity disease detection and classification using U-net, then uploaded to a website using Django

FouadHellal/U-net-for-plant-segmentation

U-net for plant images segmentation to detect the disease, and calculate the severity percentage.

FouadHellal/FouadHellal