James Hurtado

James Hurtado

Software Engineer

Posts by Collection

portfolio

Leasy

A web app that allows users to generate and save reports for financial lease analysis using an algorithm based on the German payment plan method

MechanicMatch

A full-stack web app where car mechanics and drivers can interact with each other for service requests, bookings and more

Thread Bloom

An AI-powered platform that automatically transforms long-form content into formats tailored for Twitter posts or Threads.

publications

Development of a Mobile Application Based on a Machine Learning Model to Identify Potential Cases of Smartphone Addiction in School-Aged Adolescents

Published in 2024 IEEE XXXI International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2025

This paper developed a mobile app using a 92% accurate machine learning model (logistic regression) to detect smartphone addiction in adolescents. The app, based on a survey and demographic data, offers real-time results for parents and educators, enabling early intervention.

Recommended citation: J. Delgado, J. Hurtado, F. Vasquez (2024). "Development of a Mobile Application Based on a Machine Learning Model to Identify Potential Cases of Smartphone Addiction in School-Aged Adolescents." IEEE. 1(1).
Download Paper | Download Slides

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.