Bianca Duarte's Projects
This repository serves as a personal collection for the IF672 Algorithms and Data Structures course at CIn-UFPE. It contains various categories of content related to the course.
Alura Books is a web application developed using React and Node.js, implemented as a project for the "Full Stack JavaScript: Create a Project with React and Node.js" training offered by Alura.
Exporting flashcards to Anki by generating .apkg files, using Python.
Code developed during the learning process with the book "Classic Computer Science Problems in Python."
Pitico com Dados is a bot built in Python, designed to assist with functions related to financial strategy and transparency within the company. It integrates with Google Sheets to provide real-time access to financial data and offers commands to interact with this data.
Discord bot created for the CITi-UFPE Diversity server, aimed at promoting recognition, engagement, and facilitating access to information about the Diversity & Inclusion Committee.
Application to generate flashcard decks focused on language learning, using GPT, DALL-E, Google Cloud Text-to-Speech, and GenAnki.
Front-end repository for flAshI, an application to generate flashcard decks focused on language learning, using GPT, DALL-E, Google Cloud Text-to-Speech, and GenAnki.
Code written during my learning in Go. Includes code learned from the tutorial, the official tour, and other sources.
Study Project | Heart Disease Prediction using Random Forest
Hotel Trancinvânia is a hotel reservation management system project developed for the Software Engineering and Systems course (IF682) at CIn-UFPE, in Computer Engineering. We developed both frontend and backend using TypeScript, Node, PostgreSQL, React, and Chakra UI.
Code from the exercise lists for the Introduction to Programming course (IF669).
Kaggle course exercises.
Function to calculate the kurtosis of a frequency table with grouped data.
This repository is a personal collection showcasing my journey in Kaggle machine learning competitions. It includes a series of colabs capturing detailed analyses, model developments, and submissions made during different Kaggle competitions.
This code processes and cleans bank statements using Pandas, preparing data for financial reports and Power BI integration.
Project for the Statistics course (ET586 | CIn-UFPE), in collaboration with @bmmuc, @cxmedeiros, @victormarques-ia, @Cleber-Victor
Project for the IF678 - Communication Infrastructure course. It consists of three phases: UDP implementation, reliable transfer, and single-room chat.
The code allows sending personalized bulk emails with Python, extracting data from a spreadsheet using Pandas. To customize the email body, an HTML file is used.
Project for the Intelligent Systems course (IF684 | CIn-UFPE), in collaboration with @yasmimvso, @RafaelB411, @eduarda09, and @daravas.