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be-swift

BeSwift is an iOS app to help you learning the Swift programming language

big-num

Implementation of a BigNum library in C. The idea behind this algorithm is to represent integers as big as you want. Also, the basic arithmetic operations (sum, sub, multiplication and division) with such numbers are implemented.

bug-report-summarization

Implementation of different ranking techniques (cosine similarity, euclidean distance, pagerank, and eigenvector centrality basead on the Louvain method for community detection) for bug report summarization. The summary is created based on the ranking of the most relevant comments in a given bug report.

client-server-udp-protocol

Implementation of a client-server application based on the UDP protocol.

compiler

Implementation of a web compiler for a reduced C language. The compiler has 3 analyzers: lexical, syntactic, semantic.

dataextraction

design-patterns-for-humans

Design Patterns for Humans™ - An ultra-simplified explanation

dijkstra-fractionalknapsack-polynomialmultiplication

Implementation of Dijkstra with different data structures (array, AVL tree, fibonacci heap, buckets, and alpha tree), fractional knapsack and polynomial multiplication with different time complexity.

domino-and-best-city-in-graph

This project presents an implementation of the domino game in Pascal. Also, it is present a solution to the problem of finding the best city to build a health clinic to vaccinate people against the Dengue disease.

drake-cellphone

Simple app made to learn about the AVFoundation framework, and how to animate, and work with collision, gravity, images, songs.

face-detector-coreimage

Work in progress about use of Core Image to detect faces and position of eyes and mouth

ford-fulkerson

Implementation of the Ford Fulkerson algorithm.

grahamscam-monotonechain

Implementation of the Graham Scam and the Monotone Chain algorithms to calculate the convex hull. The algorithms were also parallelized using pthreads.

grocery-store

Simple grocery store app created to learn Firebase. CRUD is all implemented. Followed the tutorial: https://www.raywenderlich.com/139322/firebase-tutorial-getting-started-2

hospital-address-locator

This script gets hospitals' address using Google Places API based on a excel sheet that contains a list of hospitals' names. It saves the found information into a csv file, firebase database, and create queries SQL to further insert them into a SQL database.

image-emotion-detection

Tutorial made to learn about the Google Vision API (image and emotion detection using iOS device photos). Initial code extracted from: https://github.com/GoogleCloudPlatform/cloud-vision

isabellavieira57.github.io

Personal repository for data distribution.

knapsack-problem

Algorithm to solve the fractional knapsack, binary knapsack, and knapsack with conflicts problem.

localization

App made to learn how to create an app that translates the app’s user interface and resources into different languages.

multipeer-connectivity

App using the Multipeer Connectivity framework for discovering nearby devices and communicating with those devices sharing files.

my-movie-app

My movie app is an app that shows the information (title, overview, poster, votes etc) of the most popular movies listed in The Movie DB (https://www.themoviedb.org/). It's developed for Apple TV.

neo4jphp

PHP wrapper of the Neo4j REST interface

parking-lot-circuit

Implementation of a logical/digital circuit for controlling the number of cars inside a parking lot. It was developed using the Verilog language and the problem was modelled using Finite State Machine, multiplexers, and decoders.

pert

Implementation of the PERT algorithm.

places_classification_complete

Complete application for the tutorial (in portuguese) on Youtube. This app is about places classification and uses Vision framework with CoreML. The classification model (Places205-GoogLeNet) should be download at (git doesn't allow me to commit it here): https://developer.apple.com/machine-learning/. This tutorial was extracted from: https://www.raywenderlich.com/164213/coreml-and-vision-machine-learning-in-ios-11-tutorial

places_classification_starter

Started application for the tutorial (in portuguese) on Youtube. This app is about places classification and uses Vision framework with CoreML. The classification model (Places205-GoogLeNet) should be download at (git doesn't allow me to commit it here): https://developer.apple.com/machine-learning/. This tutorial was extracted from: https://www.raywenderlich.com/164213/coreml-and-vision-machine-learning-in-ios-11-tutorial

quicksort

Implementation of the traditional quicksort, quicksort with random pivot selection, and quicksort with pivot calculated by the median of the elements.

seam-carving

Implementation of the seam carving algorithm for resizing images. It was implemented a strategy based in graphs and another one based in dynamic programming. Also, it is implemented two filters for detecting edges in an image: the sobel operator and the scharr operator.

sockets-programming

Different implementations of webservices for programming sockets: iterative, concurrent, using forks, threads, and task queues.

string-searching-algorithms

Implementation of the string search algorithms (KMP, BMH, Exact Shift And) to solve the problem of plagiarism in musical lyrics.