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Olympics Games Oversight is a web app developed for Geekathon - Geek-olympics event by GeeksForGeeks. Explore Olympic history, types of games, and analyze medal achievements using interactive features. Built with HTML, CSS, JS, Python, and Mapbox API. Engage in the legacy of the Olympics through data-driven insights.

Home Page: https://algorithmassassins.github.io/pogo/

License: The Unlicense

CSS 56.03% HTML 5.34% JavaScript 23.92% SCSS 11.53% Python 0.19% Jupyter Notebook 3.00%
geeksforgeeks olympics geekathon

pogo's Introduction

Olympics Games Oversight

Olympics Games Oversight

Overview

The Olympics Games Oversight is a web application that provides comprehensive information about the history of the Olympics. It includes details about the timeline, various types of Olympics, and specific game information. Additionally, the project incorporates three essential features: Badge Analysis, Sports Predictor, and Timeline, to offer insights into medal achievements by different countries in Olympic Games. The project is built using a tech stack comprising HTML, CSS, JS, Jupyter Notebook, SCSS, and Python, and utilizes the Mapbox API for mapping functionalities.

Features

  1. Timeline: The timeline feature is a visual representation of all the Olympic Games hosted around the world. It showcases the venues and the number of medals earned in each event, providing users with a clear picture of the Olympics' global reach and success.

  2. Types of Olympics: This section highlights the various types of Olympic Games, including Youth Olympics, Summer Olympics, Winter Olympics, and Paralympics. Users can discover the differences and unique characteristics of each type.

  3. Badge Analysis: Badge Analysis offers data-driven insights into the number of medals secured by each country throughout Olympic history. Users can examine patterns, compare performances, and draw conclusions from the provided statistics.

  4. Sports Predictor: The Sports Predictor employs predictive modelling techniques to forecast the number of medals countries are likely to secure in the upcoming Olympics. This feature uses historical data and statistical analysis to make informed predictions.

Tech Stack

The project is built using the following technologies:

  • HTML
  • CSS
  • JavaScript
  • Jupyter Notebook (for data analysis and modelling)
  • SCSS (for improved CSS preprocessing)
  • Python (for data manipulation and analysis)
  • Mapbox API (for interactive mapping functionality)

Usage

  • The main application page provides links to navigate through different sections, such as Types of Olympics, and the three unique features (Badge Analysis, Sports Predictor, and Timeline).
  • Click on the desired section to explore the information and interact with the available features.
  • The Badge Analysis feature allows users to see the distribution of medals for each country.
  • The Sports Predictor feature takes user inputs or uses default values to predict the number of medals countries might secure in the next Olympics.

Acknowledgments

  • The project was inspired by the Geekathon under Geek-Olympics conducted GeeksForGeeks Portal and also driven by a passion for sports and the desire to explore the history of the Olympics.

  • Special thanks to the Mapbox team for providing the APIs to create interactive maps.

Contact

The Olympics Website is the collective effort of the following contributors:

Happy Olympics Exploration!

pogo's People

Contributors

algorithmassassins avatar hashitapusapati avatar kirankumar04 avatar p-sai-gowtham avatar sidhu2003 avatar sudhishamiti avatar tinkten7 avatar

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