Name: Bruno Tanabe
Type: User
Company: Tech4Humans
Bio: Analista de Desenvolvimento de Inteligência Artificial | Analista de Dados | IA | Machine Learning | Chatbot | Python | LLM |
Location: Itajubá, Minas Gerais, Brasil
Blog: https://brunotanabe.github.io/personal-portfolio-web-application/
Bruno Tanabe's Projects
This repository aims to provide a comprehensive guide and resources on implementing the Conventional Commits Pattern in software projects. The Conventional Commits Pattern is a specification for adding human and machine-readable meaning to commit messages, which facilitates automated tools and improves collaboration among developers.
Welcome to the FAQ Recommendations repository! This project consists of a web application that simulates a customer service chat, where an attendant can interact with users. The application uses semantic search technology to suggest FAQ answers based on users' messages.
Fork of a comprehensive JavaScript and TypeScript training hub. Enhanced with additional examples, tutorials, and exercises tailored for learners at all levels. Ideal for developers looking to deepen their understanding and apply their skills.
A comprehensive Obsidian vault for organizing and managing notes on a wide range of topics, including programming, college subjects, artificial intelligence research, and personal daily notes. This repository serves as a dynamic knowledge base to facilitate continuous learning and efficient note-taking. Files and personal information are ignored.
Welcome to Personal Portfolio Web Application! This repository houses a personal portfolio application created by me. The application is a webpage featuring links to my primary social media profiles. It boasts a responsive design and offers the option to toggle between light and dark modes.
This repository contains a collection of scripts in .shell and .bat formats to create the initial folder and file structures for various types of applications. These scripts are organized into two main directories: one for Linux and one for Windows. Each directory contains subdirectories for different types of projects.
This fork of the "techlab-challenge-2024-3q" repository aims to fix bugs, improve performance, and implement missing features in a chat application for customers and attendants. The goal is to deliver a functional and secure system, meeting the evaluation criteria of the challenge proposed by Tech4Humans.
Welcome to Twitter Text Classification! This project focuses on sentiment analysis of tweets in Portuguese using machine learning techniques. The main goal is to classify tweets as positive or negative based on their content. Below is a detailed explanation of the project components, from data preprocessing to model evaluation.