Olympics: Analysis and Prediction

Introduction:

Welcome to our project on the Olympics! This project aims to perform a detailed analysis on the past data of olympics conducted and also provide some predictions to help decide which country would be able to be the next host.

How it works:

We scraped data pertaining to the Olympics from various websites such as Olympedia, World Bank API, Wikipedia, etc. Then we performed a detailed analysis based on this data for past Olympic games played, as well as the number of medals won each year by participating countries and also created a predictor that would be able to give an estimate of the economical standing of the countries if they decided to host the Olympics in their country.

How to run the application:

1. Setup and use a python virtual environment:
   1. python3 -m pip install --user virtualenv
   2. python3 -m venv env
   3. source env/bin/activate
   4. pip install -R requirements.txt
2. Run the server.py:
   1. python3 server.py
3. This will give you a URL which you can visit to use the application.

Overview of the repo:

. 
├── data/ 
│     └── This is the main directory for data used in our project. 
├── docs/ 
│     └── This contains the markdown files used in our documentation. 
├── research/ 
│     └── This contains various research papers used in our domain research.
├── scripts/ 
│     └── This contains all the scripts for data scraping, analysis and modeling. 
└── web/ 
      └── This contains all the files used in the UI and for backend.

Detailed Documentation:

You can find more details about the steps followed in this project.

1. Data Scraping
2. Data Analysis
3. Predictor Modeling
4. Olympic Analysis Results
5. Medal Analysis Results
6. Sentiment Analysis Results
7. Predictor Results
8. Application Screenshots