Problem Statement

Design and build a community focused solution (web, app, or tool) that addresses a real-world problem using open data. Example themes: digital wellness, smart cities, resource accessibility, community improvement, or social impact.

Datasets Provided + Context

Below are recommended Kaggle datasets suitable for hackathons:

• Titanic Survival Prediction (classic beginner dataset to predict outcomes from structured data.
• House Price Prediction (regression task using real estate data; great for intermediate skills)
• MNIST Digit Recognition (image data; foundation for computer vision projects)
• Restaurant Orders and Delivery (customer analytics, order tracking for business/finance or food delivery app ideas)
• Superstore Sales or BigBasket Customer Analytics (business intelligence, forecasting, or recommendation systems)
• Global Crocodile Species Dataset (use for biodiversity, mapping, or environmental applications)
• GitHub Archive Events (community, code analytics, or open-source health)
• Football Results (sports analytics, score prediction, or fan engagement tools)
• US Census Data
• Pick your own!

https://www.kaggle.com/datasets

Context: All datasets are open-source, cleaned, and well-documented for rapid project starts. Full dataset links and task examples will be shared in the hackathon package.

Judging Criteria

Innovation & Impact (30%)

Technical Execution (30%)

Use of Data (20%)

Presentation & Documentation (10%)

Practical Feasibility (10%)

Example Project Walkthrough:

1. Dataset: Titanic Survival
2. Problem: Create a museum installation to predict if a passenger would survive the Titanic based on viewers input.
3. Steps: Import data, explore, preprocess, train a classification model, deploy demo (web or notebook), create a UI, create a presentation summary.

Submission Requirements / Format:

Project demo URL (app, notebook, or video—3-5 minutes)

Name and emails of all team members.

Repository link (GitHub, GitLab, etc.)

1-slide summary or infographic (optional)

Documentation: problem tackled, method used, dataset and feature use, results, and next steps.

Please add the tech stack you are using and the story you're telling through your project.

Project Architecture

Timeline & Support

Submission deadline: Nov 9 - 1:00 pm MST

Resources and Datathon channels will be provided via https://discord.com/invite/28ewqHPcVc