This desktop application allows users to engage in conversations with the GPT-3.5 model. Key features include session memory (up to 3 simultaneous sessions), chat copying, input memory, a chat cleaner, code detection (in outputs), API switching, and a tokenizer count.
Developed entirely in Python using the Flet framework, the application requires elevated permissions to access the `.env` file for the API key and user name. While the API can be modified directly through the provided button, changing the username necessitates direct modification of the `.env` file.
Designed as a "pocket" app, the window dimensions are fixed and cannot be adjusted.
The source code and compiled file are available via the links below. If you want to use it, be sure to add your own API key to de .env file and be sure it has funds
This complete Python-built application, developed with Flet, parses and plays MIDI files akin to popular tools like Synthesia. It offers full customization of responsiveness, background, colors, and view window (displaying seconds on-screen).
Developed entirely in Python using the Flet framework, the application parses, corrects, and synchronizes sound events in MIDI files.
Upon loading, the program generates a map based on audio duration and the specified on-screen time window.
The project is ongoing and will soon support exporting the map to PDF for comprehensive visualization.
The app, while still under development, features a To-Do list with filtering capabilities, a playlist manager allowing shuffle, , and playlist progression ring, along with full music player controls. Additionally, it includes a playlist creator with a built-in search bar, all developed using Flet-Python.
Developed entirely using Flet - Python.
It supports both dark and light themes (requires app restart) and utilizes asynchronous calls to manage music events, timers, skips, and end events. The music handler design is completely customizable.
As an ongoing project, future updates will incorporate OAuth for Spotify playlist loading and a calendar feature with desktop notifications.
The source code can be accessed through the following link.
This desktop application tracks patient progress, enabling WONDERSALIGNERS Lab to efficiently manage and update patient registries. It integrates seamlessly with doctors' applications to synchronize treatment logs.
Developed entirely in Python using the Flet framework, the application facilitates clear communication between doctors and WONDERS regarding treatment plan dates, actions, and status updates.
It automates updates and calculates optimal dates for each step of patient treatment.
Due to its commercial nature, the source code and download links are not available.
The WONDERSALIGNERS website features a front-end built entirely with CSS and HTML. The back-end includes a comprehensive management platform for patients, doctors, and administrators, offering full file-sharing support, real-time chat using WebSockets, a 3D file renderer, custom lab applications for PDF generation and patient tracking, as well as tutorials and resources for educational purposes.
The control panel includes a status visualizer, connection count, and restart options.
The real-time chat is supported by a Node.js application hosted on Heroku, with dynamic PHP scripts generating sound alerts, unread message counts, and timestamps.
It features a robust platform shared by administrators, doctors, and patients to track and manage patient files and updates easily.
A platform designed to surpass current nursing home software, featuring a robust, well-structured role-based permission system. This allows the organization to maintain full control over inventory, activities, and all aspects of medical history. It includes a complete record of all interactions within the platform to ensure traceability and enhance security.
Designed in accordance with all Colombian regulations to compete in a state tender.
Its functionalities include (among others):
A comprehensive, role-differentiated, immovable patient medical history record with complete traceability and PDF export.
An activity assistance manager with dynamic signing to validate data and events.
A complete nursing home inventory manager with signing, consolidation, and PDF export functions.
It is a robust platform with many functionalities that cannot be fully detailed in this text alone.
An entry point and a complete user manual (in Spanish) can be found in the links below.
Calculator app running in JS, it makes operations in strings to compute the results. Of course, no division by 0.
Classic Tetris game with cloudy style, pure JS, support levels, velocity, game- and music.
My journey from biology to programming has been transformative, equipping me with a diverse
skill set that spans multiple programming languages including Python, Java, JavaScript, and SQL, among others.
I thrive on tackling big challenges and find immense satisfaction in debugging code or completing complex functions.
Diving deeper into programming allowed me to leverage Python for creating desktop applications that align closely with my interests.
I have a strong interest in machine learning and have completed several training programs in the field. I am eager to apply my knowledge to build creative solutions using neural networks.
Hello, my name is Bruno. I am a biologist who has transitioned into the world of coding, driven by a passion for using technology to create practical and innovative solutions. My journey from biology to programming has equipped me with a unique perspective and a diverse skill set, allowing me to tackle challenges in creative and effective ways.
Click on them to watch a short video and a longer description.
ChatGPT API Client
Python MIDI Reader
To Do/Playlist Manager App
WONDERS-ALIGNERS App
WONDERS-ALIGNERS Platform
Nursing Home Platform
Calculator
Tetris