Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Sort by:
This project explores ways to support the population recovery of the Monarch Butterfly through data analysis and collaboration with external organizations to improve their survival chances.
A report into the correlation between pesticide use and the migration patterns of Monarch Butterflies, 1998-2022.
Our team discovered basic insights on the decline of the monarch butterfly population by cleaning, preparing, analyzing, and visualizing pesticides and sightings.
Follow the epic migration of monarch butterflies while uncovering the hidden impact of pesticides on their survival. Our project traces the decline that reveals the effects of environmental factors.
Our solution is aimed at helping those in need of financial relief to pay off the tax debt of a home they inherited from a loved one that has passed away. Especially those in low-income neighborhoods.
An analysis of how reviews for attractions in Europe
Using US Airline Flight Routes and Fares 1993-2024
Identifying trends and relationship between Pneumonia, COVID, and influenza deaths and flight travel by state in the US from 2020-2021.
A trend that uncovers information that improves retail businesses.
Analyzing at a data set from Kaggle, we looked at factors such as average fare, distance, and destination that could have possibly affected passenger volumes on flights between 1993 and 2024.
Linking Aviation Emissions to Climate Impacts on At-Risk Communities
Attendence made easier
Considerations for the next outbreak.
This repository contains a Python implementation of a Decision Tree Classifier to categorize the 'large_ms' variable into three distinct groups: 'Low', 'Medium', and 'High'.
Flysight integrates multiple datasources to derive insights into growing profitability of airlines, utilizing machine learning, airport geodata, flight info, and Bloomberg projections.
Analysis of airline travel trends by HHS region during COVID using Excel, Rstudio, and Python.
Identify MOST Cost-Effective Carrier Based on Personalized Journeys
Exploring CO2 Emissions with different variables
How did travel before, during, and after the COVID-19 pandemic relate to death rates in the US for airborne diseases?
Analysis of the CO2 trends of domestic and international flights, as well as the dip between 2019-2020 in flight emissions.
BTAP is an AI Excel table generator that forms pairings between blood donations and blood patients using Openai and React. This reduces the blood transfusion process, reducing pain and saving lives.
Maximizing credit card rewards for smarter spending.
A webapp that tracks the amount of water a household and individual uses
NutriCampus is an app that helps UMich students find meals tailored to their macronutrient needs and time of day preferences, making healthy eating easy and convenient.
