Submitted
2025 Global Learning Challenge

AI Learning Hub

Team Leader
Sindhu Ghanta
Our solution combines lightweight online tools, curriculum, teacher training, chatbot support, and real‑time dashboards to deliver scalable AI literacy for K‑12 with minimal resources: 1. AIClub Navigator: Browser‑based, no‑install interface to industry‑standard AI (scikit‑learn, TensorFlow). From Grade 3 onward, students build and tune models using child‑friendly or external datasets, then export Python code via an automated code‑generation tool. Accounts are...
What is the name of your organization?
AIClub
What is the name of your solution?
AI Learning Hub
Provide a one-line summary or tagline for your solution.
Empowering every learner to harness AI creativity.
In what city, town, or region is your solution team headquartered?
Mountain View, USA
In what country is your solution team headquartered?
USA
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
We are tackling the global AI literacy gap among K-12 learners. In low‑income countries, one‑third of school‑aged children remain out of school (versus just 3 percent in high‑income nations), and among those enrolled, AI education is virtually nonexistent. Three key barriers perpetuate this divide: 1. Curriculum shortages: Few open‑source, age‑appropriate AI courses exist for diverse contexts. 2. Teacher unpreparedness: Scalable, hands‑on professional development is lacking. 3. Resource constraints: Underserved schools often lack hardware, connectivity, and expert instructors. Our solution focuses on K‑12 students in low‑resourced communities, using a modular “4 C’s” framework—Concepts (core AI ideas), Context (real‑world relevance), Capability (practical tools), and Creativity (student‑driven projects). Our lightweight, open‑source technology runs on low‑end or offline devices and integrates built‑in teacher training, so schools can adopt AI literacy without overhauling infrastructure. By directly addressing curriculum, educator readiness, and resource barriers at scale, we ensure every learner—from age 8 to 18—can gain the AI skills they need to shape and participate in an AI‑driven world.
What is your solution?
Our solution combines lightweight online tools, curriculum, teacher training, chatbot support, and real‑time dashboards to deliver scalable AI literacy for K‑12 with minimal resources: 1. AIClub Navigator: Browser‑based, no‑install interface to industry‑standard AI (scikit‑learn, TensorFlow). From Grade 3 onward, students build and tune models using child‑friendly or external datasets, then export Python code via an automated code‑generation tool. Accounts are anonymized for privacy. 2. Curriculum Hub: 800 modular lessons, videos, assessments, and datasets, paired with hands‑on teacher workshops. Content spans foundational concepts through advanced projects, empowering custom AI solutions. 3. Teacher Dashboard: School‑ or district‑level monitoring of student progress, model performance, and activity. Educators can view or “drop in” to any student’s AI project for instant support. 4. Textbook & Chatbot: A printed companion textbook and AI‑powered chatbot tutor provide unplugged exercises and on‑demand guidance, reinforcing digital learning with traditional resources.
Who does your solution serve, and in what ways will the solution impact their lives?
Our target population is K-12 students (grades 6-9 specifically), particularly in underserved communities in Asia. We intend to roll this out in zilla parishad morjampadu high school in Palnadu district of Andhra Pradesh, India for grades 6-9. They are underserved for the following reasons: 1. Technical gaps: Schools lack AI expertise, leaving students with toy tools or no AI education. Our platform enables students to start young, be creators and problem solvers throughout, and transition seamlessly to tools they can leverage in professional roles. 2. Connectivity barriers: Limited internet and compute make most AI platforms unusable. Our platform requires minimal internet use, no dependency on local compute resources and is extremely low cost from a cloud perspective. A typical student costs just $0.20 to build and retrain 20 AI models on our system. 3. Teacher readiness: Teacher training, curriculum and book resources make it possible to train local teachers to deliver AI literacy programs, enabling scale in underserved communities. The solution addresses their needs by Delivering a multi-year curriculum (updated regularly to keep up with AI developments) and teacher training and tooling that enable scalable AI literacy education to underserved communities at minimal cost and with minimal adaptation requirements.
Solution Team:
Sindhu Ghanta
Sindhu Ghanta
Head of Machine Learning