Juan Rojas’s portfolio spans three distinct engineering disciplines — web development, mobile application development, and machine learning. Each project reflects real-world problem solving, from corporate websites and inventory systems to snake-species preservation apps and medical image classification.Documentation Index
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Web Apps
Four projects built with React, Next.js, Astro, and Node.js — ranging from corporate sites to interactive sports brackets and inventory management systems.
Mobile Apps
Two cross-platform Flutter applications: a biodiversity preservation tool for snake species in Meta, and a community-building PWA built with Scrum methodology.
Machine Learning
A deep learning web application for brain tumor detection from medical images, achieving 99.2% accuracy using TensorFlow, Keras, and the VGG16 architecture.
All projects
| Project | Category | Key technologies |
|---|---|---|
| AITEC — Corporate Website | Web App | HTML, CSS, JavaScript, Next.js, React |
| Inventario Cardex Automotriz | Web App | React, Node.js, Express, MongoDB, Material UI, JWT |
| UEFA Champions League Bracket | Web App | JavaScript, React, HTML, CSS, API Integration |
| Landing Page Unillanos | Web App | Astro, HTML, CSS, JavaScript, Tailwind CSS, Material UI |
| Snake Meta | Mobile App | Python, FastAPI, Flutter, SQLAlchemy, Hive, Firebase, Google Maps API |
| Aktua | Mobile App | Docker, Python, FastAPI, PostgreSQL, Flutter, JWT |
| Brain Tumor Detection | Machine Learning | Python, Keras, TensorFlow, VGG16, Pickle, React |