Name: ariel biton
Type: User
Bio: I'm Ariel Biton, an Information Systems student who loves web and mobile development.
I work with React, React Native, React Native maps, Express, Node.js..
Blog: https://naga-2q9g.onrender.com/
ariel biton's Projects
Welcome to the Lifting Data Server! This server application provides an API to serve CSV data related to lifting equipment and safety
š© CTF-Django is a Django-based web application designed to make learning basic hacking techniques fun and interactive through Capture The Flag (CTF) challenges. š
The Decision Tree App is a web application built with React that allows users to create and visualize decision trees. It provides an intuitive interface for building custom decision trees
The Decision Tree Model Trainer Backend is a server-side application built with Node.js and Python. It is designed to handle the training of decision tree models based on user input.
š Lifter Web is a web application built with Expo and React Native, designed for renting various types of lifting equipment.
š M33t Social Map is a React Native app for social mapping and interactions. The main page is a map where users can see others and add events. To start using the app, contact us for closed testing or use our public link with Expo Go.
backend server and machine learning algorithms designed for analyzing and predicting mouse usage patterns. This project leverages Node.js and Express for handling API requests, while Python and scikit-learn are used for implementing KMeans clustering models
Mood-Based UI is a dynamic user interface project that adapts based on the user's mood, utilizing machine learning to detect emotions and adjust UI elements like colors, themes, and layouts in real-time
šļø Ofek Lift Order System is a comprehensive web application designed to simplify the process of renting lifting equipment in Israel. With this platform, users can easily calculate rental costs based on duration, quantity, and location.
adding react implementation
A tool to find PII in a various format file