InnoD Fam Tracker

As Vice President of Internals for Innovative Design at USC, I am responsible for improving the internal systems that keep our 70+ member organization running smoothly. One of our biggest operational bottlenecks was our semester-long "Fam" competition, where members earned points by completing activities and submitting photo proof in Slack. Previously, an internals team member manually reviewed every submission, identified the member and activity, calculated points, and updated an Excel spreadsheet—a process that took hours each week and was prone to error. To streamline the workflow, I designed and developed an internal operations platform from the ground up. After mapping the existing process and creating the interface in Figma, I built a web application using JavaScript and GitHub that automatically tracks member participation, maintains Fam rosters, calculates points, generates leaderboards, and stores semester history. I also developed an AI-powered Slack bot that analyzes submitted images, identifies the corresponding task and member, and automatically logs the submission into the platform, eliminating the need for manual tracking. This project transformed a repetitive administrative workflow into an automated system, reducing operational overhead while making participation tracking faster, more accurate, and scalable as the organization continues to grow.