Jose Cebreros

My Projects

Here are some of the key projects I've worked on during my academic career. Each project has helped me develop different skills and tackle unique challenges.

Lab Inventory Management System for CETYS Universidad

August 2024 – May 2025

University Capstone Project

  • Developed a polished, fully functional website for my university to manage maintenance of chemistry lab instruments and equipment.
  • Implemented a complete system for registering damaged instruments, scheduling maintenance orders, and tracking student equipment loans.
  • Built with React, Next.js, and MongoDB for the database, providing a comprehensive solution for laboratory inventory management.
Next.jsMongoDBLaboratory Management

"CETYSync" Real Time Chat Web Application

January 2024 – June 2024

University Course Final Project - Head and Leader

  • Developed a Live fully functional Web application using NextJS, ChatEngine.io and Vercel for deployment, goal was to create a safe and secure alternative for CETYS students to be synced with this web app, only accessible with your academic email, available on both Desktop and Mobile.
  • Final Project for my Network & Communication course, applying this knowledge to add AES encryption.
Next.jsChatEngine.ioVercelAES Encryption

Color Detection Mobile App

August 2023 – December 2023

University Course Final Project - Head and Leader

  • Created an Android Mobile App for my Operating Systems course, using Apache Cordova on Node.js, this for gathering bluetooth data using Arduino UNO with Bluetooth HC-05 module.
  • Goal of the project was to monitor the health state of a plant using an RGB Sensor connected to the Arduino, then the data sent via Bluetooth to the app.
Apache CordovaNode.jsArduinoBluetooth

"UberFare PRO"

August 2023 – December 2023

University Course Final Project

  • Collaborating on our team's final project for our machine learning course, I was in charge of the front end development of the project, creating a functional website.
  • Machine learning project to estimate the best time in day to get an Uber, using a trained model and different regression models.
Machine LearningFront-end DevelopmentRegression Models
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