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MoonCampaign by Khesavan (12 years)
For my project, I created a system that explains how backup cameras in cars work, using sensors, a buzzer, and an LCD screen. The ultrasonic sensor measures the distance between the car and an obstacle. The LCD displays the distance, while the buzzer gives a warning sound if the car gets too close. My code uses libraries like Wire.h, LiquidCrystal I2C, and Ultrasonic.h to control these components. Backup cameras make parking and reversing safer by alerting drivers about objects behind their car.
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I’ll be sharing my project about how backup cameras in cars work. We see backup cameras in almost every modern car, and they’re designed to help drivers park and reverse safely. My project uses an ultrasonic sensor, a buzzer, and an LCD screen to demonstrate this system.
Here’s how it works: the ultrasonic sensor measures distance by sending out sound waves and detecting how long it takes for them to bounce back. Based on this, the system calculates how far an object is from the car. If the car gets too close to an obstacle, the buzzer makes a beeping sound to warn the driver. At the same time, the LCD displays the exact distance in feet. This way, both visual and sound feedback are provided, just like in real cars.
See what people around the world are saying about Khesavan How Backup Camera Works In The Code project
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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