UCU Chance Project

Website

WEB-helper for applicants during entering a session

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Description

This project includes

• calculating probability of entering the university
• creating recommendations for applicants
• convenient user interface

The visualization provided

• number of applicants in the previous year
• licensed amount
• average rating score in the previous year
• price of the academic year
• applicant's probability of entering the university

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Aim and usage

• This project's aim is to make the process of university entering easier and more controlled. Abiturient can see the chance of his admission and in this way he will be able to decide what in what subject he have to improve, etc.

• To launch and run web application, run module start.py.

• When web app launches, in requests information from CSV files.

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Contents

chance_flask

• arrays.py - contains ADT implementation
• main.py - the main module of the program, where HTML script connects with database analysis functions.
• tools.py - contains all tools needed for web application.

examples

• adt_example.py - example of ADT usage
• arrays.py - contains ADT implementation
• bsoup_example.py - example of dealing with Beautiful Soup
• flask_example.py - example of dealing with Flask
• pandas_example.py - example of dealing with Pandas
• request_example.py - example of dealing with requests
• sheets.py - example of usage of Google spreadsheets API

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Wiki contents

• [Homework #1 report] (https://github.com/Tsalyk/vstup_project/wiki/1.-%D0%A0%D0%B5%D0%B7%D1%83%D0%BB%D1%8C%D1%82%D0%B0%D1%82%D0%B8-%D0%B2%D0%B8%D0%BA%D0%BE%D0%BD%D0%B0%D0%BD%D0%BD%D1%8F-%D0%B4%D0%BE%D0%BC%D0%B0%D1%88%D0%BD%D1%8C%D0%BE%D0%B3%D0%BE-%D0%B7%D0%B0%D0%B2%D0%B4%D0%B0%D0%BD%D0%BD%D1%8F-%E2%84%961)
• [Homework #2 report] (https://github.com/Tsalyk/vstup_project/wiki/2.-%D0%A0%D0%B5%D0%B7%D1%83%D0%BB%D1%8C%D1%82%D0%B0%D1%82%D0%B8-%D0%B2%D0%B8%D0%BA%D0%BE%D0%BD%D0%B0%D0%BD%D0%BD%D1%8F-%D0%B4%D0%BE%D0%BC%D0%B0%D1%88%D0%BD%D1%8C%D0%BE%D0%B3%D0%BE-%D0%B7%D0%B0%D0%B2%D0%B4%D0%B0%D0%BD%D0%BD%D1%8F-%E2%84%962)
• [Homework #3 report] (https://github.com/Tsalyk/vstup_project/wiki/3.-%D0%A0%D0%B5%D0%B7%D1%83%D0%BB%D1%8C%D1%82%D0%B0%D1%82%D0%B8-%D0%B2%D0%B8%D0%BA%D0%BE%D0%BD%D0%B0%D0%BD%D0%BD%D1%8F-%D0%B4%D0%BE%D0%BC%D0%B0%D1%88%D0%BD%D1%8C%D0%BE%D0%B3%D0%BE-%D0%B7%D0%B0%D0%B2%D0%B4%D0%B0%D0%BD%D0%BD%D1%8F-%E2%84%963)
• [Homework #4 report] (https://github.com/Tsalyk/vstup_project/wiki/4.-%D0%A0%D0%B5%D0%B7%D1%83%D0%BB%D1%8C%D1%82%D0%B0%D1%82%D0%B8-%D0%B2%D0%B8%D0%BA%D0%BE%D0%BD%D0%B0%D0%BD%D0%BD%D1%8F-%D0%B4%D0%BE%D0%BC%D0%B0%D1%88%D0%BD%D1%8C%D0%BE%D0%B3%D0%BE-%D0%B7%D0%B0%D0%B2%D0%B4%D0%B0%D0%BD%D0%BD%D1%8F-%E2%84%964)
• [Homework #5 report]

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Web application

After opening web application, you can see a start web-page. There're examples of how does page look.

After pressing "Calculate" button, you will be able to input your test results and choose the university and specialty:

Then if you press button "Search" and scroll down, you will see some info about chosen university and specialty, your rating score and your chance of enrollment. Here is the example:

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Preinstallations

• pip install Flask

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Credits

• Tymofii Kozak, UCU
• Taras Onyshkiv, UCU
• Mykhailo-Markiian Tsalyk, UCU
• Severyn-Dmytro Peleshko, UCU
• Oksana Sadova, UCU