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StudySpot AI App
Location
Los Angeles, CA
Date
November 2025
Project type
Case Competition
Role
Product Manager/Lead Engineer
Overview
Building an AI-powered MVP during a high-stakes case competition required more than just fast coding, it required ruthless prioritization. As both the Product Manager and Engineer, I authored this Product Requirements Document (PRD) to bridge the gap between user needs and technical feasibility.
This document served as our team's 'North Star', outlining our target personas, scoping our minimum viable product (MVP), and defining the technical trade-offs we made to deliver a functional prototype under strict time constraints.
PRD Overview
Figma Prototype Link
MVP Link
Developed for the USC AI Global Case Competition, StudySpot is an AI-integrated mobile prototype designed to eliminate the "productivity tax" of searching for study spaces. Serving as both Product Manager and Engineer, I led the end-to-end development of our MVP, from defining the product roadmap and user personas to architecting the technical integration of natural language search. The prototype leverages AI to translate subjective user needs (like "quiet vibes" or "group-friendly") into data-driven location recommendations, providing a seamless solution for students in high-pressure environments.
