2024 CALL FOR CODE
GLOBAL CHALLENGE
In 2024, Call for Code ignited a global call to action, challenging developers and innovators to harness the transformative power of AI in creating solutions that address the critical issue of equitable access to life’s essential needs.
“These groundbreaking AI-powered technologies confront one of the most urgent human rights challenges of our time: ensuring equitable access to essential resources—a fundamental expression of equality, dignity, and fairness,” said David Clark, founder and CEO of Call for Code. “By dismantling systemic barriers, these innovations champion social justice, ensuring no community is left behind in the pursuit of a more inclusive and equitable future.”
2024 CALL FOR CODE GLOBAL CHALLENGE
DEVELOPER WINNER: GOBANG
The 2024 Call for Code Global Challenge Grand Prize Winner is GoBang, a group of students from Georgia Institute of Technology and University of Michigan addressing educational inequality, especially for under-resourced schools in their home country of Taiwan. They used IBM
watsonx.ai to develop an application to provide educators with a customizable AI dashboard for course planning, including lesson plans, worksheets and recommendations. As the top scoring university team, they also are the recipients of the 2024 University Grant, receiving $30,000 USD for their schools and eligibility for an opportunity to explore job opportunities at IBM, alongside the option to be matched with an IBM mentor.
The 2024 Call for Code Global Challenge First Runner-up Winner is KindThreads. The team from Persistent created an IBM watsonx.ai-powered platform that helps local communities turn clothing waste into essential resources and income opportunities. The app uses
watsonx.ai Prompt Lab to identify and categorize the clothing item, assess its wearability, and provide data-driven recommendations on how it can be reused, recycled, or donated based on its condition.
2024 CALL FOR CODE GLOBAL CHALLENGE
SECOND RUNNER UP: T-CHAI
The 2024 Call for Code Global Challenge Second Runner-up Winner is T-Chai. The team developed an AI-powered homework tutor based on IBM
watsonx.ai and the IBM Granite large language model that adapts the level and complexity of its responses to match the student’s age and profile. The application can also assist parents in understanding their child's curriculum, finding age-appropriate educational resources, creating practice tests, and providing effective memorization techniques on computers and smartphones, to provide underserved families access to right-fit learning resources.
Global Challlenge
Global Challenge
Global Challenge
Global Challenge
Global Challenge
Global Challenge
Global Challenge