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
supporting local through the pandemic
Saving lives one cough at a time.
Telemedicine is on the rise... who's taking advantage and who's being left behind?
Our project consists of three main components - an XGBoost machine learning model, a map, and Tableau visualizations. These three components are a powerful set of tools for Chevron stores.
We have developed a model to help Fuel Station Managers not waste hotdogs by predicting the number of hotdogs that will be sold on a given day using a random forest model.
Link is a vendor recommendation service and analytics engine for agencies built using Bayesian inference, created to help you find the best common vendors that agencies like yours prefer to use.
A project aiming to reduce Chevron's waste and profit margins through hot dog sale predictions.
Accumulate your Bitcoin!
Datathon Challenge
Datafy is a web scraped data provider website, effortlessly download CSV and JSON Data of Companies listed in Fortune 500
Project for the Rice Datathon 2021 Chevron
We used hierarchical clustering to match vendors with potential clients and governmental agencies
We don't like wasting hot dogs!!
2021 Datathon
Provided with ~430K business transaction records, we performed a thorough analysis on the dataset and designed models for two tasks.
Do you wanna know how many hot dogs Chevron will sell? So did we! So we created a model to predict the hot dogs that will be sold on a given day at a given gas station at a given time!
We are predicting hot dog sales at gas stations using Random Forest Regression!
Hotdog Sale Prediction
Can we predict what businesses are successful based on their financial transactions? Additionally, can we use these transactions to suggest vendors based on the similarity between them?
We aim create an accurate cook plan for Chevron’s facilities in order to minimize hotdog waste.
Please review video
A method creating personalized recommendations of vendors based on the transaction history of similar companies
Don't waste your food!
Predictive, Intelligent Investing
1 – 24 of 42
