Karous Wissem's Projects
Wlc to this learning hub ! Lets explore the magic of Ai by this starting path to Nlp engineering
alaachatbot
This hub for explain some basics concept of anomaly detection and some tips to dealing with it
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andΒ code
calculator_Js/HTML/CSS
Cyberone project , Secure dream drive ! Give our model a try from : Huggingface space
this chatboot developed to check all documentations (the recommended )
Classification Project Heart Disease
using deep learning techniques to analyze retinal images and identify early signs of blindness. By detecting these signs early, we hope to enable early intervention and prevent irreversible vision loss. Our project utilizes cutting-edge technology and is built on a foundation of collaboration between medical professionals and data scientists.
Description- Using this data science project, early predictions of Parkinson's disease can be made. The patients who are prone to getting the disease or show signs of getting affected by Parkinson's disease in the future can be notified and this way an improved health service can be given to a patient.
fakenewsdetection: In this data science project idea, we will use Python to build a model that can accurately detect whether a piece of news is real or fake. We'll build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into "Real" and "Fake".
Sentiment analysis is the act of analysing words to determine sentiments and opinions that may be positive or negative in polarity.
"A Contactless Attendance System leveraging facial recognition technology for seamless attendance management. This innovative system eliminates the need for traditional attendance methods, such as manual sign-ins or card swipes
An all in one solution for mental health issues
face auth with expo
final-face-attendance-app-code-internship
FACE RECOGNITION AND DETECTION
mobile app using face recognition to mark work attendance (ang)
In this data science project idea, we will use Python to build a model that can accurately detect whether a piece of news is real or fake. We'll build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into "Real" and "Fake".
This repository has been created to serve as the documentation hub for all Machine Learning sessions
IBM final project