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Student-Industry Projects

In collaboration with GIX’s Consortium, which includes companies like Microsoft, T-Mobile, Boeing, AT&T, and Baidu, graduate students form interdisciplinary teams to develop high-impact projects that address local and global challenges.

Explore the projects developed by GIX’s inaugural class below.

Diversita – Microsoft: AI for Earth

In collaboration with Microsoft: AI for Earth, students designed and developed a sophisticated and low-cost backyard camera trap that integrates machine learning (ML) on the Edge, connectivity, and cloud services to offer a real-time window into biodiversity.

The device can capture and identify over 5,000 species and has built-in notification/alert features to inform the user in real time when species are spotted.

After conversations with conservationists, ecologists, and wildlife researchers, the students determined the technology could potentially be applied to support new methods of conservation research and management, and to inform conservation policies.

FlaminGo – T-Mobile

In collaboration with T-Mobile, students designed and developed an augmented reality (AR) mobile game that explores and showcases the capabilities of the 5G network.

By leveraging the high-speed, low-latency, and wide bandwidth features of 5G, students were able to implement an AR experience that integrates real-time and multi-player collaborations.

Quaternion – Boeing

In collaboration with Boeing, students designed and developed a mobile app that improves the end-to-end user journey for air travelers. The app keeps passengers up to date with their flights by providing real-time flight status alerts, airport tips and in-airport navigation maps, and a flight profile with all the users’ flights logged.

The app was designed specifically for Chinese airports, as they strive to cater to the increased number of travelers exiting and entering the country. However, it could be potentially applied to other airports in the future.

CluckAI – Microsoft FarmBeats

In collaboration with Microsoft FarmBeats, students developed an AI-driven app solution that interprets chicken vocalizations and then notifies farmers when their chickens are in distress.

The app is designed to help decrease the number of chicken deaths, especially amongst egg-laying hens which is now at 25%, by identifying threats to chicken health – including disease, predation, overcrowding, heat stress, theft, and bullying from other chickens – and alerting farmers in real time.

CyberStorm – Baidu

In collaboration with Baidu, students explored ways to identify and defend against cybersecurity adversarial attacks, with the broader goal to provide safe AI-driven services to the public.

Specifically, they designed a new CAPTCHA solution that’s more effective in foiling bots and easier for humans to use.

SparkEd – Lanxum

In collaboration with Lanxum, students designed and developed an educational game app that allows parents to personalize and remotely guide their child’s learning experience. It provides parents with the opportunity to customize the lessons and skills they teach their children, relative to their own values and beliefs. The game incorporates AI capabilities like image processing, voice interaction, and drawing recognition.

Regentsoft

In collaboration with Regentsoft, students utilized machine learning algorithms to develop an automatic sales forecasting system for clothing retailers and manufacturers.

Their solution strives to improve the efficiency and accuracy of clothing sales predictions, which are currently based primarily on the subjective experiences of sales experts.

PlayerX – Kico

In collaboration with Kico, students designed and developed a mobile app to help transplants connect with other foreigners and locals in the area. The number of Seattle newcomers has increased in the last eight years by 20%, and out of those, only 29% have felt welcomed by locals.

With the goal to boost the sense of community in the Seattle area, and help people make new, lasting friendships, the app strategically connects people that frequent the same places and engage in similar activities.

UbiRight – Student-led Project

UbiRight is an original content monetization platform that provides a tamper-proof blockchain timestamp for original written and visual content posted online.

UbiRight strives to make copyright protection available to the masses. By providing access to copyright protection in a way that’s simple, free, and timely, UbiRight are demystifying and removing the barriers that currently exist in the process of pursuing legal copyright licensing.