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Option A. AI for the Future of Work: How might we use AI to reduce uncertainty and stress for people navigating the workforce—especially students—while building systems that are fair, transparent, and responsible from development through operations?

Option B. AI for Wellbeing: How might we use AI to support wellbeing for students OR tech-industry workers by enabling healthier work- or school-life balance—while clearly avoiding AI as a replacement for professional mental health care?

Build an AI powered personal cybersecurity coach that made digital safety accessible to everyday users rather than only IT professionals. Explain cyber threats clearly, provide trustworthy and privacy respecting recommendations, and develop solutions that could realistically be piloted in a university, club, or small business setting to reduce real world harm.

Create an AI enabled smart matching system that connects students with career events, volunteer opportunities, and professional association chapters based on interests and goals. Account for the operational constraints of volunteer run organizations and developed solutions that could scale from Æðµã´«Ã½ to multiple universities.

Develop an open source, AI powered market research pipeline to make consumer insights accessible to small businesses and student teams. Using the Tahoe Mini as a product case, integrate synthetic respondent generation, panel data from AYTM tools, and cross model validation while addressing cost barriers and data transparency.

Identify an entrepreneurial challenge of personal interest and build an original AI solution from the ground up. There were no prescribed use cases, but teams were held to high standards for creativity, real world impact, and a compelling narrative that highlighted student ingenuity.

All teams will be evaluated using the same rubric across all tracks using a scale of 1 to 10

How original is the solution, and how clearly does the team define the problem it solves?

Will the solution create meaningful real-world impact for users, businesses, or society?

Is the solution technically sound, credible, and scalable toward real-world deployment?

Is there a plausible path to real-world use? Would target users or organizations adopt it? Does it demonstrate responsible AI practices such as privacy, transparency, and fairness?

Is the 6-minute pitch clear, compelling, and effective in conveying the problem, solution, and impact?