The proposed aquarium water chemistry control system combines affordable DIY sensors and a microcontroller (ESP32 or Raspberry Pi Zero) to monitor key water parameters and automatically dispense nutrients. Using IoT technology, it enables real-time data tracking and remote management. This solution addresses a market gap by offering an integrated, cost-effective alternative for hobbyists, hydroponic growers, and small-scale aquaculture operators who currently lack accessible, all-in-one water quality management tools.

For EN.601.290 (User Interfaces & Mobile Applications), our group developed a mobile app that allows users to log their clothing into a virtual closet, customize and save outfits, and view their closet at a glance on their phones. We hope this project will foster creativity and experimentation, encourage users to buy less and wear more of what they have, and have fun with fashion without the need for any special purchases beyond what they already own.

We propose a dual-layer stimulant gum that mimics the taste of betel nut without its harmful effects. Targeting India’s $6.1B areca market, our product replaces toxic ingredients with safe alternatives like magnesium hydroxide, caffeine, and ginseng. It offers a culturally familiar, health-conscious option to help users reduce dependence on betel nut.

Magic Mirror is an AI-powered skincare analysis app that puts personalized, expert-level insights directly in users’ hands. By simply taking a selfie, users receive instant skin assessments, including detection of concerns like breakouts, redness, and dryness. The app then delivers tailored product recommendations — from science-backed products (via affiliate brand partnerships) to daily habit adjustments — all designed to improve skin health, confidence, and decision-making.