Smart Emergency System
• GPS Module
• OLED Display
• Push Button
• Vonage API for WhatsApp
• Laptop with Python-based Speech Recognition
• Camera + Microphone
Robotic arm
An innovative robotic arm that mimics human hand movements using gesture control, designed for industrial applications and assistive technologies.
The Red List of Blue World
Our project aims to raise global awareness about endangered marine species through an AI-powered educational game. The game uses image recognition and interactive storytelling to introduce vulnerable species from the five oceans. Players learn about threats such as overfishing, pollution, and climate change, and develop awareness about marine conservation by engaging in fun, educational tasks.
Our Web Site: https://red-list-of-blue-world-ye9ogg6.gamma.site/
Smart Recycling Station
The Smart Recycling Station is an innovative solution designed to improve the efficiency and quality of the recycling process in urban environments. Developed by a team of middle school students from VKV Koç Private Middle School, this project aims to address the challenges caused by incorrect waste disposal in recycling bins, such as contamination, machinery damage, increased operational costs, and environmental harm.
Our station uses a combination of sensors, artificial intelligence, and automated mechanisms to identify waste materials and ensure they are correctly sorted before being accepted. By integrating object recognition technology and smart hardware components like servo motors, metal detectors, and ultrasonic sensors, the system minimizes human error and promotes responsible recycling behavior.
Key features of the Smart Recycling Station include:
Automated Lid System: Each recycling bin is equipped with a servo motor that opens the lid only when the waste material is identified as suitable for that bin. This prevents contamination by rejecting incorrect waste.
Metal Detection for Paper Waste: A metal sensor detects any staples or paper clips in paper waste. If metal is found, the system alerts the user and keeps the bin closed, protecting the recycling quality.
Liquid Filtration and Evaporation: The plastic bin includes a filtering mechanism to separate leftover liquids into a secondary chamber. A fan then evaporates the collected liquid, ensuring the inside of the bin remains dry and hygienic.
Fullness Monitoring System: Ultrasonic sensors monitor the fill levels of each bin and trigger alerts through a buzzer and a display screen when bins are full, optimizing waste collection schedules.
Through this project, we aim to raise awareness about proper recycling practices while demonstrating how technology can be used to solve real-world environmental problems. The Smart Recycling Station supports the United Nations’ Sustainable Development Goal of creating clean and sustainable cities and offers a scalable solution for schools, public spaces, and residential areas.
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.
Green House and Agro Forecast
Smart Greenhouse with Agro Forecasting combines sensors, automation, and AI to create a self-regulating farm system. It not only maintains ideal crop-growing conditions automatically but also predicts future yield using real-time data and machine learning.
Future Colony
Future Colony is a fully automated, self-sustaining smart city model powered by green energy, designed to support human life even during future pandemics or global crises. It includes advanced security, smart infrastructure, environmental care, and resource optimization.
Doctor Robot
The Doctor Robot is a smart health assistant that measures vital signs like heart rate, pulse, and temperature and automatically uploads the data to the cloud for remote access by doctors or caretakers. It brings healthcare anywhere, anytime.
Eco Road
ECO ROAD is a solar-powered smart road system developed to solve problems faced by rural and urban areas — including lack of electricity and traffic congestion. It uses AI and machine learning to optimize traffic control and clean energy to power streetlights and signals.
SMART RECYCLING
As you know, recycling is a very important issue for the future of our planet. There are various methods for reusing recyclable materials.
The most important aspect of recycling is the proper separation of these materials. Therefore, there are special collection areas for recyclable waste. However, there are some problems with these collection areas.
The main problem of our project is that recyclable waste is not being properly separated. In our observations, we noticed that people do not separate recyclable waste correctly in social areas. We saw that plastic or glass waste was thrown into bins meant for paper. Similar situations were observed in other bins as well.
We started working on how we could solve this problem. We came up with various ideas. The most logical one was to develop a lid mechanism that opens only when the correct waste is detected and stays closed otherwise.
For this, we used artificial intelligence support. We trained the AI with a data package containing nearly 6000 images. We also continued training using real objects.
For the hardware, we used servo motors, an Arduino board, and a computer. With the signals given by the program coded in Pictoblox, the lid opens at 90 degrees and closes again at the end of the process.
For the software, we used Pictoblox. We added the AI extension and the control board extension. We used datasets to train the AI. During the software development stage, we paid attention to using as few blocks as possible to ensure the program runs stably.
The boxes we used in our project can later be scaled up and developed with more durable materials.
This is the link to our project’s internet site. https://sibicoders.silivribilsem.com/