Research Student in ML and DL
Data Scientist, Software Developer and Web Designer.
In this Project we conducted a literature review of DL algorithms used in Breast Cancer DetectionComputer-Aided Diagnosis Systems Based on Medical Imaging Then I builded a Convolutional Neural Networks (CNN) model for breast cancer detection using a Kaggle dataset.
Comparing different ML models for regression to predict the house prices using the California dataset provided by scikit learn.
During the COVID-19, the face mask wearing was one of the most prominent interventions against COVID-19.In this project we will train a custom dataset (wearing mask dataset from roboflow) with YOLOv5 in colab. The input is an image or a video, and the output is the detection wearing a mask or not. In next project we will try it for a real time detection.
Building a leaf disease detection system for the agriculture sector in Morocco.
Building a simple chat bot to interact with, using NLP and DL techniques.
Applying linear regression to predict the presence of a disease. The multiple disease prediction project includes 3 diseases: Diabets, Heart disease and Parkinson.
The aim of this project is to detect cars licese plate and display it using YOLO v7 and OCR .
Web scrap internships from "https://www.opportunitiescircle.com/internships/" website, using beatiful soup, and download it to a csv file.
Building a movie recommandation system based on content using the disney-tv-shows-and-movies Kaggle dataset. Then extend the project to build an Anime recommandation system web app