Save the Earth
“Save the Earth” empowers players to become “Eco Titans” through 7 engaging SDG-themed games that tackle the themes climate change, protect wildlife, and promote healthy living. The project also addresses insufficient SDG progress due to a lack of belief in change and personal responsibility. It fosters a growth mindset and “Earth-caring” identity to drive action. It empowers players to see themselves as agents of change thus accelerates achieving SDG goals by 2030.
Link for games
1 Save the sea https://pictoblox.page.link/CHy8GcTdSUaoyWQF9
2 snake me healthy https://pictoblox.page.link/4yYsLwkb49vkuiMd9
3 Big bad woodcutter https://pictoblox.page.link/BEmR6xPs6WFA1hoh7
4 Feed the bear https://pictoblox.page.link/6nWwN6tEY4HCXZEq8
5 Pro quiz https://pictoblox.page.link/rhL5YiHDEoXLdDBn8
6 Keep it up https://pictoblox.page.link/P5b5VoYo8zaYKCEKA
7 Hurdle jump https://pictoblox.page.link/tcNGRhH8q68ZqToe8
Coral Defenders
Our project focuses on developing an innovative underwater robot fish designed to monitor and protect coral reefs. The robot is equipped with advanced sensors to measure key water parameters, including temperature, pH, and salinity, which are essential for assessing coral reef health. The real-time data collected by the robot is displayed on an LCD screen and stored on an SD card for further analysis. Additionally, the robot is equipped with a proximity sensor, allowing it to navigate safely through coral reefs and avoid obstacles. This design ensures minimal disruption to the marine environment while gathering critical data to help protect and restore coral reefs. The model is made from waterproof, silicone-based materials, providing durability and flexibility while blending in with the natural surroundings. By continuously monitoring the water quality, the robot helps prevent damage to coral ecosystems caused by pollution and climate change, supporting long-term reef conservation efforts.
Posture Corrector
AlignMate is a smart, wearable posture correction device designed to help individuals maintain a healthy spine position throughout the day. With the increasing number of people working or studying in sedentary environments, poor posture has become a common issue that leads to chronic back pain, fatigue, and long-term health complications. AlignMate addresses this problem by using a tilt sensor that detects when the user’s back slouches or bends beyond a healthy angle. When poor posture is detected, a vibrating motor is triggered, alerting the user to correct their position immediately.
The core functionality is built using a microcontroller that continuously monitors the sensor input and activates the motor only when needed. Additionally, an experimental computer vision system using Python, OpenCV, and MediaPipe allows posture analysis from camera input, which could be integrated into a mobile app in future versions. AlignMate is cost-effective, easy to wear, and ideal for students, office workers, and anyone looking to improve their posture and overall well-being.
TriEco Bots
We are the EcoGuardians, a team of 15-year-olds from Jordan committed to protecting our planet. Concerned by the massive damage caused by industrial waste, we took action by creating the Tri Eco Bots — three innovative, engaging robots designed to promote clean energy and sustainable cities. The scale of the problem is enormous: factories produce around 37,868 million cubic meters of liquid waste and over 2 billion tons of solid waste each year. This pollution poses a serious threat to humans, animals, and the environment. Our project doesn’t just highlight the crisis — it offers solutions. We explore the major environmental challenges and present creative, tech-based strategies that we developed ourselves. We also share real-life examples of positive change already happening around the world. Our mission is clear: raise awareness, inspire action, and help build a cleaner, greener future — together. Join us in making a difference for our planet!
kinetic energy harvesting and its application in smart agriculture
Project Title: Self-Powered Wearables and Smart Greenhouse Integration
Project Description:
This project integrates three innovative systems that demonstrate how energy generated from human movement can be captured, stored, and used to power practical applications. The highlight is a Smart Greenhouse, which operates using electricity generated by the Power-Generating Shoe and Electric Skating Shoe, showcasing a sustainable approach to personal energy harvesting.
1. Power-Generating Shoe (Piezoelectric Shoe)
This wearable shoe uses piezoelectric discs to convert mechanical pressure (from walking) into electrical energy. The generated voltage is sufficient to power small electronic components like an LED, illustrating the feasibility of using human activity to generate electricity.
Key Components:
Piezoelectric discs
LED with current-limiting resistor
Optional rectifier and capacitor for voltage smoothing
Function:
Each step generates an electrical pulse, which can be directly used or stored, depending on the design.
2. Electric Skating Shoe with Power Storage
This wearable device incorporates a DC power supply circuit capable of storing electricity generated by movement. The energy is regulated and stored in a rechargeable battery using capacitors and a voltage regulator.
Key Components:
2 Large Capacitors and 2 Small Capacitors
LM7805 Voltage Regulator
3.7V Rechargeable Battery
LED Indicator with Resistors
Dual Output:
One for the battery charging module
One for a voltage measuring module
Function:
Electricity generated while skating is regulated to 5V and stored in a battery. This energy can later power other small systems.
3. Smart Greenhouse System
The Smart Greenhouse represents a practical application for the energy generated by the wearable devices. It automates climate control and irrigation using environmental sensors, and it can operate on low-voltage power supplied by the energy harvested from the shoes.
Key Components:
DHT11 Sensor (Temperature and Humidity)
Soil Moisture Sensor
Water Pump (controlled by Relay Switch)
5V Fan (controlled by L298N Motor Driver)
LCD Display for real-time data
Microcontroller (e.g., Arduino Uno or ESP32)
Function:
The soil moisture sensor activates the water pump via the relay if the soil is dry.
The temperature sensor turns on the fan through the L298N driver if the greenhouse is too warm.
Sensor data is continuously displayed on the LCD.
Add on: Ai software which detects pests
Integration:
This project combines wearable energy harvesting, power storage, smart agriculture, and artificial intelligence to demonstrate a fully integrated, sustainable solution. The system captures human motion through innovative shoe designs, stores the generated energy, and applies it to power a Smart Greenhouse. The greenhouse is equipped with environmental sensors and an AI-powered pest detection system, making it a fully automated, intelligent agricultural environment.
Smart Water FIlteration System
Our project prevents water wastage unlike any other water filtration system. Our project filters the water and gets it out for usage and then after usage it will get back to be filtered again –a closed loop. It also prevents any water leakage since we have an IR sensor that wouldn’t make the system work except if it detects my hand and we also have an AI system that detects any cracks in the system so the system would stop, and no water leakage would happen.
Our system also neutralizes factory acid present in wastewater by using calcite powder which can neutralize different acids including carbonic acid, acetic acid, and hydrochloric acid, which are commonly used in factories.
We have also added a harmful insect detection system using the AI provided by PictoBlox. This system eradicates the possibility of water contamination through vectors or harm to people or animals through water-bugs.
BrainBot
The goal of this project is to help children with autism and speech delays learn and grow through the use of an interactive, responsive humanoid learning robot. This robot uses a combination of visual cues, voice prompts, and physical movements to create a multisensory learning experience that is both engaging and educational. By providing consistent and predictable interactions, the robot supports the unique learning styles and needs of neurodiverse children. It teaches them fundamental life concepts, such as distinguishing between left and right, recognizing directions, and understanding basic daily functions and routines. These are essential for helping children become more aware of their environment and develop greater independence in everyday tasks. The robot also encourages communication by responding to children’s actions and inputs, making learning more intuitive and enjoyable. Overall, this project aims to provide a supportive, inclusive, and joyful educational experience—one that promotes development through empathy, consistency, and innovation.
Pill Pilot
How many words it has – eam PillPilot from Apple International Community School, UAE, presents PillPilot — an AI-powered autonomous robot designed to transform medicine delivery in healthcare. Built using PictoBlox and powered by two Quarky boards, the robot uses line-following sensors and ultrasonic detection to navigate safely through hospital corridors or rural areas. With three servo motors controlling secure medicine compartments and a 3D printed body, PillPilot is lightweight, modular, and scalable.
The project addresses a critical healthcare challenge: manual medicine delivery delays, errors, and overburdened staff. PillPilot supports nurses and pharmacists by automating logistics, ensuring timely and accurate medication delivery, especially in high-pressure or underserved environments.
Aligned with UN SDG 3: Good Health and Well-being, the solution is affordable, customizable, and future-ready — with potential upgrades like voice commands or GPS tracking. PillPilot isn’t just a robot — it’s a step toward smarter, safer healthcare for all.
UV light clip
Project Overview: UV Light Sensor
– Our project involves a UV light sensor designed to detect harmful UV rays that could impact you while walking in the sun. It not only sounds an alarm but also changes color to alert you, encouraging you to seek shade.
Green Planet
green planet: هو حل مبتكر للزراعة الذكية يهدف إلى تحويل أسطح المباني في المدن الجديدة إلى مزارع منتجة وصديقة للبيئة. يعتمد المشروع على تقنيات إنترنت الأشياء (IoT) من أجل زراعة فعّالة وآلية للخضروات والأعشاب، مما يعزز الاستدامة البيئية والاقتصادية.
يستخدم النظام وحدة التحكم ESP32 المتصلة بعدد من الحساسات لمراقبة حالة التربة والبيئة، ويتم إرسال البيانات إلى منصة Adafruit IO لمتابعة النظام والتحكم فيه عن بُعد. كما يتكامل النظام مع منصة OpenWeatherMap للحصول على بيانات الطقس، مما يتيح التعديل التلقائي لعمليات الري وتوفير المياه بنسبة تصل إلى 40%.
يحتوي المشروع على روبوت مزود بكاميرا ESP32-CAM يتم التحكم فيه عن بُعد، حيث يقوم بالتقاط صور للنباتات تُرسل إلى برنامج ذكاء اصطناعي مخصص للكشف عن الأمراض النباتية واقتراح العلاج المناسب. كما يشمل النظام على نظام لإعادة تدوير المياه المستخدمة ونظام طاقة شمسية لتغذية المزرعة بالطاقة النظيفة.
يتميز المشروع بتكلفته المنخفضة وقابليته للتوسع، ويدعم إنتاج الغذاء في المدن، وتحسين جودة الهواء، وتحقيق أهداف التنمية المستدامة مثل الحد من الجوع، المدن المستدامة، والعمل المناخي.