MoonCampaign by Rishik (7 years)
Rishik developed a soil moisture monitoring system using a micro:bit to help care for plants. The device reads moisture levels from a sensor and categorizes soil as too dry, too wet, or perfect. It provides visual feedback through LEDs (red, yellow, green), displays emotive faces on the screen, and sounds alarms when moisture extremes occur. A manual button can stop the warning sounds. This project integrates sensor data processing, conditional responses, and user interaction to create a practical gardening aid. Rishik’s clear explanation and engaging animations showcased his strong grasp of coding and electronics.
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Rishik stepped forward with confidence, ready to present his moisture monitoring project. “Hello everyone, my name is Rishik. I love art, playing with friends, and robotics classes. Today, I’ll show you how my micro:bit monitors soil moisture to help plants.”
He explained how the micro:bit connects to a soil moisture sensor, constantly checking whether the soil is dry, wet, or just right. “If the moisture is below a certain level, the red LED lights up, and the screen shows a sad face to warn you the plants are too dry,” he said. “If it’s too wet, the red light and alarm sound also alerts you.”
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Everything parents need to know about building future-ready skills in an AI-powered world.
The future of work is changing rapidly. According to the World Economic Forum's Future of Jobs Report 2025, while AI is expected to create 69 million new jobs globally by 2030, it is also projected to eliminate 83 million roles, especially those involving routine and repetitive tasks. The message is clear: success in the future will belong to those who can think critically, solve complex problems, and adapt to change.
While AI can automate tasks, it cannot replicate uniquely human abilities such as:
These are the future-proof skills every child needs.
MoonCampaign gives students (ages 7–16) hands-on opportunities to build real projects using technology. Along the way, they develop:
Project-based learning pushes children beyond memorization. It teaches them to experiment, debug mistakes, solve unexpected problems, and think independently. When kids build, test, fail, improve, and present their work, they develop the exact mindset needed to thrive in an AI-driven world—not just as users of technology, but as future creators and innovators.
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