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This hackathon invites Baruch and/or CUNY students to design real world, industry aligned solutions using NYC Open Data and or Kaggle datasets. Participants will apply data analytics, AI, and automation techniques to explore challenges across both the public and private sectors, including transportation, finance, healthcare, housing, public safety, education, sustainability, retail, and technology.
Students will work in teams to analyze real datasets, develop professional quality prototypes, and present solutions that demonstrate practical insight and business or policy relevance. Projects are expected to reflect realistic use cases that students can showcase on resumes, publish on GitHub, and potentially develop further for entrepreneurial or startup opportunities.
This is a beginner to intermediate, learning focused hackathon. Fully polished or production ready applications are not required. Instead, teams are encouraged to focus on thoughtful problem selection, responsible data and AI use, clear methodology, and professional communication. Students from different majors including data analytics, computer science, information systems, business, finance, public affairs, and related fields are encouraged to participate.
Requirements
Each team must submit the following:
1. Project DescriptionA clear written summary that explains:
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The industry problem being addressed (public or private sector)
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The dataset(s) used (NYC Open Data and/or Kaggle)
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The approach and methodology
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How data analytics or AI supports the solution
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Potential real-world, business, or entrepreneurial applications
A link to a working prototype, dashboard, notebook, or web-based demonstration, such as:
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Interactive dashboards or analytical reports
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Data notebooks or scripts
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Low-code or no-code application prototypes
Projects must be accessible without requiring a login.
3. Public GitHub RepositoryA GitHub repository that includes:
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Source code (if applicable)
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A clear README describing the problem, data, and solution
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Screenshots, diagrams, or workflows for no-code/low-code projects
A 2–3 minute demo video that walks through:
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The problem and industry context
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The dataset(s) used
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The solution and outputs
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The potential real-world or business impact
Students should use Canva, PowerPoint, Zoom, or Google Meet to record their demo video. Videos do not need to be highly produced, but they should be clear, professional, and easy to follow.
💡 Submission Guidance
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Focus on real-world applicability and professional presentation
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Clearly explain assumptions and limitations
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Highlight how the project could scale, be improved, or evolve into a business or produ
Prizes
Educational ONLY
This is for educational purposes only
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Cristina Costa
Program Manager/Baruch College
Nii Ato B.
Associate Director/Baruch
Judging Criteria
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Innovation, Impact, and Execution
Projects are evaluated on how clearly teams define a real-world problem and design an AI-powered solution. Judges assess creativity, thoughtful AI use, ethical awareness, feasibility, and communication.
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