CSai

An A.I. powered computer science tutor.

CSai is a data-driven web app built with Flask and SqlAlchemy. The backend is written in Python, and the frontend uses Bootstrap 5 and custom CSS for styling, as well as Jquery and Javascript for frontend functionality. The project is built upon a simple premise: as a computer science student, it can be time-consuming to find help when stuck on a problem. So, I thought it would be fun and worthwhile to build a tool that allows anyone to ask an A.I. "tutor" for help. With the help of OpenAi's API, I was able to build a tool that does just that. The tool is able to answer questions about computer science concepts, and even provide code examples. It's in an alpha state, but it's fully-featured and working well currently. It's complete with user registration, login, email verification, updatable account details, and database integration.

• Reason for building: CS50 Final Project
• Technologies: Python, Flask, SqlAlchemy, SQL, OpenAI's REST API, Bootstrap 5, Jquery, Javascript, HTML, Jinja2, CSS, Responsive Design, Git
• Github: Visit the CSai repo

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VetTools

Veterinary Diagnostic Questionnaire Tool

VetTool Diagnostic Questionnaire is a "proof of concept" gui tool that allows a user to iterate through a series of veterinary related medical questions, in order to come to a final recommendation based on the selected answers. The complexity of this particular project lies in the fact that each disease's question set is a tree-like structure that must be navigated through accurately.

• Reason for building: MVP for a client in the veterinary industry.
• Technologies: Python, Pyside6, QT, gui's, recursion, markdown, YAML, Pyinstaller, InstallForge (Windows packaging), create-dmg (MacOS packaging)
• Github: Visit the VetTool repo

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Pypi

A clone of the popular Python Package Index

This project is a clone of the popular Python Package Index. Yes, this is a clone, but it's not just a toy app... It's a built from the ground up project, complete with user registration and login systems, dynamic content, and database-dependent information. Such as: listing the most popular packages on the site, displaying the most-recent packages, and package details (releases, maintainers, authors, dates, and so on). Full-featured and data-driven, this web-app is a great example of my ability to create complex database relationships.

• Reason for building: Interest in data-driven web-apps
• Technologies: Python, Flask, SqlAlchemy, SQL, Alembic, Bootstrap 5, Jquery, Javascript, HTML, Jinja2, CSS, Responsive Design, Git
• Github: Visit the PypiClone repo

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Dotnet & C# Project

VetTools completely reimplemented in .NET MAUI

This is a complete reimplementation of the VetTools project in .NET MAUI. The project is a "proof of concept" gui tool that allows a user to iterate through a series of veterinary related medical questions, in order to come to a final recommendation based on the selected answers. This version of the project was a great learning experience, and I was able to leverage the power of C# and .NET MAUI. I also learned a lot about the MVVM pattern, and how to implement it. Each question is a node in a binary tree, and the user can navigate backwards and forwards through the tree, because each node is aware of its parent and children.

• Reason for building: .NET MAUI is the future of cross-platform development
• Technologies: .NET MAUI, C#, .NET Core, Binary Trees, XAML, Visual Studio, Cross-Platform Applications, Git
• Github: Visit the VetTools-dotnet repo

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Personal Website

My personal website, and upcoming blog.

I could've made a simple static website with squarespace or similar website builders, but I found it to be more rewarding to build something with the technologies that I enjoy using. Joshaguilar.dev is a Flask web-app, written primarily in Python, and built with future extensibility in mind. I'm currently in the process of creating the blog page, and implementing a content management system (CMS) that will allow me to write blog posts in markdown, and have them automatically converted to HTML. With that, will come database integration to store articles and tag words for easier searching. The website is hosted on an Ubuntu droplet through digital ocean, and the source is available through GitHub. If you would like to access the source, then please shoot me an email with your GitHub username by clicking the link below. I am always open to collaboration and code reviews!

• Reason for building: Skill improvement
• Technologies: Python, Flask, Content Management Systems,
• Github: Request collaborator invite.

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