Younes Bouchbouk's Projects
A library of +70 ready-to-use animations for JavaFX
AntySemsara Personal Idea , ReactNative
authentification system nodejs mysql
This project showcases how to generate Google Forms dynamically from a React application using Google Apps Script , speech to Text and openia API . The React application sends a questionnaire (in JSON format) as a POST request to a Google Apps Script Web App. The script then creates a new Google Form based on this questionnaire.
CovidTracker Application With ReactJs && ReactCharts
Crud-Applocation-React-Redux-MaterialUI
Collection of useful data science topics along with code and articles
Ecommerce Back-End With Node Js , Express , MongoDb
Ecommerce front-end ReactJs , MUI
club gestion with java ee , mySQL , hybernate
GestionBudget-AndroidApp
https://www.udemy.com/course/working-with-concurrency-in-go-golang
A repository showcasing my collection of GoLang projects for practicing and enhancing my skills in the language.
https://www.udemy.com/course/working-with-microservices-in-go/
error handling , Authentication ,Security , models, Controllers
Younes Bouchbouk Software Engineer with Gatsby static site generator , tailwindcss animation ...more
Web 3.0 React Solidity Blockchain Application
ProjectsManager-JAVAFX-MYSQL
Detection and re-identification of people in a camera network .* using : Python ( OpenCV , SIFT && ORB algorithm , Tkinter ) , YOLOV4 .
Caption2Script est un projet open source qui utilise l'intelligence artificielle et la vision par ordinateur pour automatiser la génération de scripts percutants pour les publications Instagram. Grâce à une combinaison de modèles d'apprentissage en profondeur et de techniques de traitement du langage naturel
Backend Master Class [Golang + Postgres + Kubernetes + gRPC]
TikTok clone React Next Sanity TailwindCss GougleAuth and ...
WeatherAPP With ReactJs and API
A machine learning project that performs sentiment analysis on customer reviews of women's clothing using Natural Language Processing (NLP) techniques, including tokenization, stop-word removal, stemming, and classification using a Multinomial Naive Bayes algorithm. The project is implemented using Python, Pandas, Scikit-learn, and NLTK.