HackRU is Rutgers University's premier hackathon, held twice annually. As part of the HackRU data research team, this repository is dedicated to exploring past event data and leveraging it to improve decisions and guide future hackathon planning.

1. Data Analysis: Understand historical trends, patterns, and performance metrics.
2. Predictive Models: Use machine learning to forecast key metrics and outcomes.
3. Data Visualization: Create interactive visuals to communicate insights to stakeholders.

• Analyze participant data and visualize findings.
• Identify factors contributing to successful events and areas for improvement.
• Develop predictive models to support data-driven decision-making.

To set up the required dependencies for this project, run the following command:

pip install python-dotenv pandas pymongo

or

pip install -r requirements.txt