Hackathon Project: OlympiPredict

Quick Update: Won 2nd Place for Best Paris 2024 Olympics Category!!

Team Members

Faiz Mustansar: Lead
Fawaz Rizwan: Developer
Talha Naveed: Developer

Project Overview

Our hackathon project aims to predict the medal winners of the 2024 Paris Olympics by analyzing data from the 2021 Tokyo Olympics and other relevant datasets. We utilize machine learning techniques and data analysis to make informed predictions about the performance of various countries in the upcoming games.

Project Structure

1. Data Collection

Datasets:
- Tokyo 2021 Olympics medal tally
- Athlete statistics (age, gender, previous performances)
- Historical Olympic performance data (2021)
Sources:

2. Data Preparation

Cleaning: Handle missing values, remove duplicates, and correct inaccuracies.
Feature Engineering: Create new features such as medal weight, total teams, and top winners for each sports

3. Data Analysis and Visualization

Tools: Python, Pandas and R Programming

4. 2024 Predictions

Method: Use 2021 sports-specific top teams and participating countries data and Apply algorithms to predict 2024 results based on performance and other factors.
Future Improvements**
Efficiency: Develop methods to efficiently gather data on participating teams.
Algorithm Enhancement: Enhance prediction algorithms with more robust datasets.
Responsiveness: Improve the responsiveness

Installation

Clone the repository:

git clone https://github.com/faizm10/CodeDexHackathon
cd CodeDexHackathon

Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate

Install the required packages:
```
pip install -r requirements.txt
```

Contribution Guidelines

git checkout -b {your-name/feature}
git add .
git commit -m "New Feature"
git push --set-upstream origin '{your-name/feature}'
git checkout main
git pull #after PR gets merged into main branch

License

This project is licensed under the MIT License. See the LICENSE file for details.

faizm10 / CodeDexHackathon

readme