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Mehmet Ali Kısacık's Projects

beam-analyzer icon beam-analyzer

Beam Analyzer is written in Swift using SnapKit, RxSwift, Firebase, Core Data and MVVM software architecture. It performs four different types of maximum deflection calculations and enables users to share the calculations within a messaging module. Firebase is used for user authentication, storing conversations, and managing users.

cpp-analysis-of-algorithms-project icon cpp-analysis-of-algorithms-project

This C++ program is made for Analysis of Algorithms course project in BAU. This program returns an answer to the given question from given text.

cpp-data-structure-project-2020 icon cpp-data-structure-project-2020

This project made in 2020 December for Data Structures course in BAU. With the designed data structure it stores ,finds the most repeated 10 word in Reuters's 2019 HTML documents and it makes it pretty efficient as well as fast.

django-blog icon django-blog

Django blog project made with Python,Html and Bootstrap. Contains user authentication

django-online-payment-app icon django-online-payment-app

This Online Payment Service project is developed using Django, SQLite, and various Django built-in features for security and data handling. It enables users to view transactions, make payments, request payments, and provides administrative functionalities for managing users and transactions.

ios-anxiety-test icon ios-anxiety-test

iOS App currently on App Store . Written in Swift. With using the Pfizer's Anxiety Test , this app evaluates your anxiety. Link to App Store: https://apps.apple.com/us/app/anxiety-test-gad-7/id1583622689

ios-stoic-quote icon ios-stoic-quote

Stoic Quote app lets the user to display and save the quotes of well known stoics. It is written in Swift. It uses Stoic Wisdom API, Alamofire, URLSession and Cocoa Pods. It is published in App Store.

movies icon movies

Movies is an app developed in Swift using the TMDB API as data source. It allows user to display popular movies and casts as well as searching them. Additionally it has a favoriting feature for movies which is implemented with Core Data.

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