SafeMask Attendance
SafeMask Attendance is an AI-powered, contactless attendance system developed by Team SafeSmart Squad from Apple International Community School, Dubai. Designed to promote hygiene and smart infrastructure, it simultaneously detects face mask compliance and marks attendance using a machine learning model trained in PictoBlox. This eliminates the need for manual registers, fingerprint scanners, or shared devices—making the process fast, safe, and fully touch-free.
To enhance functionality, we introduced Smart Data Logging, which records attendance with date and time stamps in an Excel sheet. A unique feature allows data download via a single Space Bar press—ensuring hygiene and ease of use. Inspired by the challenges faced during the pandemic, our project reflects care, innovation, and readiness for the future.
Aligned with SDG Goal 9 (Industry, Innovation and Infrastructure), SafeMask Attendance reimagines everyday systems using AI, ML, and human-centered design to build safer, smarter spaces in schools, offices, and beyond.
EduAfrik Educational App
Our student-led platform is designed to make learning accessible, engaging, and effective for African students.
Access free video lessons, interactive quizzes, and learning analytics to help you excel in your studies from Year 1 to Year 9.
Smart House
Welcome to our showcase for Codeavour 6.0! This smart house project, developed by Team Girls in STEM, is a testament to innovation and creativity, featuring cutting-edge technology designed to enhance convenience and safety. The house boasts automatic doors equipped with IR and ultrasonic sensors, providing seamless entry and exit. It includes an intelligent irrigation system to ensure plants receive water as needed, while voice command functionality allows effortless control of various features. An automatic notification system, integrated with IFTTT, promptly alerts residents in case of fire, smoke, or water leaks, ensuring peace of mind. The lighting system automatically adjusts to the level of darkness, creating an energy-efficient and comfortable environment. Powered by solar energy, this house is a step toward sustainable living, combining advanced automation with eco-friendly technology. Explore our innovative approach to smart living, proudly brought to you by Team Girls in STEM
SANAD Smart Helmet
SANAD is an innovative smart safety helmet designed to protect workers in hazardous environments such as construction sites, mines, factories, oil fields, and marine operations. Our goal is to reduce workplace injuries and save lives using smart technology that detects danger in real-time.
Equipped with essential sensors, SANAD monitors gas levels, temperature, humidity, vibration, and falls. If a dangerous situation occurs—such as a gas leak, a sudden fall, or overheating—the helmet immediately sends alerts to supervisors along with the worker’s real-time location using GPS and GSM modules. A built-in SOS button allows workers to request help manually in emergencies. SANAD also features visual and audio alarms, auto power management, and a solar power option for use in remote areas.
What makes SANAD unique is its balance between advanced safety features and affordability. It is lightweight, easy to wear, eco-friendly, and customizable for different industries. Built using Arduino and programmed with PictoBlox, SANAD was created by young innovators to address real-life safety issues.
Our project supports 7 UN Sustainable Development Goals, including good health, clean energy, decent work, and responsible production. In the future, we aim to improve SANAD by adding waterproofing, mobile app integration, radiation detection, and precise geo-fencing.
SANAD is more than a helmet — it’s a smart, life-saving companion.
Pet Feeder
AI-Powered Smart Pet Feeder is an automatic system that detects the pet using a trained ML model and dispenses food at the right time. It ensures pets are fed on time and in the right amount — with zero human intervention.
Smart Traffic Light System
This project presents a Smart Traffic Control System designed using Arduino technology to enhance traffic flow efficiency and safety at intersections. The system dynamically adjusts traffic light timings based on real-time traffic density and weather conditions. An ultrasonic sensor is used to detect vehicle density and determine optimal red and green light durations. Additionally, a DHT sensor monitors ambient temperature and humidity, while a rain sensor detects precipitation. Together, these sensors provide a responsive traffic management solution capable of adapting to environmental changes. The system aims to reduce congestion, improve driving safety during adverse weather, and lay the groundwork for future integration with smart city infrastructure.
SmartQC
SmartQC is a portable, AI-powered system developed to automate quality control on production lines. A USB camera captures visual data of the products, and a machine learning model trained in PictoBlox classifies them as defective or non-defective. When a defective product is detected, a red LED lights up, a “Defective Product” warning appears on the screen, and a servo motor removes the item from the line. If the product is non-defective, a green LED lights up and the system allows production to continue. Supported by Arduino and LEGO Spike Prime, the system is low-cost and offers an effective quality control solution for both educational use and small businesses.
SmartSence Home
**SmartSense Home** is an AI-powered smart home system that combines face recognition and voice command technologies. The system detects the homeowner’s face through a camera and automatically opens the door using a servo motor. After one minute, the door closes again. Additionally, when the user gives voice commands like “turn on the lights” or “turn off the lights,” the system responds by controlling LED lights.
The system consists of essential hardware components such as a **USB camera, microphone, servo motor, LED lights, microcontroller (Arduino/ESP32), breadboard, and power supply**. All components are programmed using **PictoBlox**, a visual programming environment, making it easy for students, children, and beginners to use.
**SmartSense Home** is not just a smart home product — it is also a valuable **STEM project** for educational purposes. With its low cost, portability, and easy setup, it enhances both everyday living and hands-on technology learning.
Disaster Detection and Alert System
We are fourth-grade inventors who built a Disaster Detection and Warning System to keep our school safe. We wired an Arduino UNO to three sensors: a gyroscope for earthquakes, a water-level probe for floods, and an infrared flame sensor for fires. A pocket-size AI camera also counts how many friends are inside the building. When danger shows up, the Arduino acts like a superhero. It blasts a loud buzzer, draws a red-laser line around the hazard, and shines a green laser toward the nearest exit. At the same moment, it sends an emergency message to our teacher’s phone through IFTTT and records every event in an online spreadsheet. We picked these parts because they are cheap, easy to swap, and still run on a power bank during a blackout. Our dream is to share this idea with other schools so that even more children can stay safe.
Robotic arm
An innovative robotic arm that mimics human hand movements using gesture control, designed for industrial applications and assistive technologies.