A deadline import tool with near universal support for all the ways to represent a schedule. Our tool uses Claude 3.5 Sonnet and works with Google Calendar, Apple Calendar, Outlook, and any iCal-compatible app.

Built at SBHacks XI with my partner Samantha Lesner, our project won the "Best Use of GenAI Award" out of 221 hackathon participants.

We designed and tested two Explainable AI (XAI) prototypes with four groups of participants. My partner, Kay Krachenfels, created the "Commerce Moderator," while I developed the "Communication Monitor."

Deciding on a full study for publication with Dr. Misha Sra.

My partner, Mehak Dhaliwal, and I conducted a study replicating and enhancing recent advancements in zero-shot document ranking using Large Language Models (LLMs).

Plan with Dr. Tao Yang is to prepare for publication at the end of June 2025.

For a Statistical Machine Learning graduate course, I selected USDA's food nutrition dataset and chose to explore whether OpenAI’s LLM technology can enhance estimates of food nutrition. This research effort was motivated by personal health interests.

Seeking a food nutrition expert to review and help guide this research further.

This solo summer project stemmed from my goal to make AIPIF faster and more cost-efficient. Along the way, I developed stories to teach children specific life lessons. Each story includes a quiz at the end to encourage critical thinking and tracks correct and incorrect answers. While AIPTF keeps the original AIPIF interface, I re-implemented the back-end using Javascript Cloudflare functions.

AIPTF is live and running 24/7!

AIPIF began with three partners in Dr. Daniel Shapiro's CMPM146: Game AI course and with his mentorship, we refined the project and showcased it at ECAI-2024 and PAIS-2024.

New AIPIF stories are disabled to manage costs. All other features are live 24/7.

Preprint pending ICRA-2025 peer review.