About the challenge
Your Mission
Using UMass's GenAI platform, design and build a custom AI assistant that addresses a meaningful need for students, faculty, or staff at UMass Amherst.
Think about the everyday friction points on campus like navigating academic resources, research overload, mental health support, accessibility, financial aid and imagine how an intelligent, autonomous system could make campus life more equitable and human-centered.
The best submissions won't just be technically impressive — they'll be meaningful.
Get started
1️⃣ Log in at genai.umass.edu using your UMass SSO
2️⃣ Explore the AI Agents feature (no coding required!)
3️⃣ Identify a real campus problem worth solving
4️⃣ Build, test, and document your agent
5️⃣ Submit your Google Doc before the deadline
Requirements
What to Build
Design an AI agent that uses agentic AI to address a real challenge in higher education or your local community. This could support students, faculty, or staff at a college or university – or extend beyond campus to improve everyday life in your community.
Consider common friction points like navigating institutional resources, academic planning, research overload, community services access, mental health support, accessibility, or civic engagement. How might an intelligent, autonomous agent make these systems more equitable, efficient, and human-centered?
No coding required. Just a strong idea, a clear purpose, and a vision for how your agent could create meaningful impact.
What to Submit
Include the following in a Google Doc (to be submitted as a PDF):
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Agent title and goal (clear description of purpose)
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Instructions used
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Model selected
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Model parameters (if applicable)
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Files uploaded (if any)
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Any additional relevant details
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Screen recording / screenshots showing the agent in action
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OR copy/paste a link to a conversation with your agent into the above Google doc.
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Prizes
1st Place Winner
2nd Place Winner
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Lauren Saloio
Center for Data Science
Gianna Leidich
Center for Data Science
Judging Criteria
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Innovation & Creativity
How unique and innovative is the agent’s concept? -
Impact & Usefulness
How well does the agent address a real campus or community need? -
UX & Design
Is the agent intuitive, well-structured, and user-friendly? -
Technical Details
How well is the agent implemented? Is it functional? -
Scalability & Adaptability
Can this agent be scaled or adapted for broader use?
Questions? Email the hackathon manager
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