Smart GreenBIN
This project is to use the AI and ML modeling to identify and help people to segrigate recyclable and non-recyclable trash.
Phase-1 of our project is Software based only. In phase-2 we will use hardware, in which our Smart GreenBIN will open the lid automated after analysing the trash if it is recyclable or non-recyclable.
Wl rescuer
. An eco-friendly, solar-powered robot that
autonomously cleans waterways (lakes, oceans, etc.) while protecting marine life. Its AI detects and sorts waste, and the only maintenance required is periodic tank replacement. Zero charging needed—powered entirely by
Stroke Aware
The Stroke Device is a wearable system that monitors SpO2 and BPM levels in real time while connected to a mobile app for easy tracking. It also conducts facial droop, arm weakness, and voice recognition tests through the app to help identify potential early signs of stroke. We’ve used the esp32 with a max3010 sensor that reads the bpm and sp02 that shows on the app.
HATTA RAYS: Lighting up Tomorrow, Today
This project aims to develop a smart lighting system powered by solar energy and controlled by artificial intelligence. It promotes sustainability by reducing electricity consumption and carbon emissions while offering a reliable lighting solution, particularly for areas with limited electricity access. It also helps students explore the integration of renewable energy and intelligent technology to address real-world problems.
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.
SkyCastâ„¢
SkyCast – Smarter Weather, Just a Question Away
SkyCast is your personal weather assistant, built with powerful AI and an easy-to-use voice feature. Whether you’re heading out for a walk, planning a weekend trip, or just deciding what to wear, SkyCast gives you reliable weather updates—no typing needed.
Just ask, and it answers.
What makes SkyCast different?
You can talk to it. Ask about today’s forecast or what the skies look like tomorrow, and it’ll respond.
It uses smart AI to give you more accurate and personalized weather updates.
You can tell it your city, and it will instantly bring up the latest information on that city.
It helps you plan ahead—without overloading you with too much data.
SkyCast is designed to feel natural. No clutter. Just the forecast, the way you’d ask a friend.
Best farmers
We created a small program to help beginner farmers and children grow plants, gain knowledge, and apply it in real life. The program includes pictures that show the amount of water each plant needs, the number of days required for it to grow, and what the plant looks like when fully grown.
SMART BIN BUDDY
Smart Bin Buddy, is made using PictoBlox and helps people throw waste in the correct bin using just a computer and webcam—no hardware needed right now!
We trained a Machine Learning (ML) model using PictoBlox’s ML environment by showing it pictures of paper, food, plastic, and cans. Now, when you show waste to the webcam, the model can recognize it in real time and tell you which bin it belongs to. The correct bin then opens on the screen.
This project is simple, fun, and great for learning AI, coding, and environmental care. It teaches us how to take climate action and practice responsible consumption—which means using resources wisely and not creating unnecessary waste.
Smart Bin Buddy is perfect for schools and small communities like homes and offices. It helps keep places clean while teaching people how to sort waste properly. It is easy to use, requires no wires or extra devices, and is completely beginner-friendly.
In the future, we can connect this project with hardware like motors or sensors to make the real bins open automatically—making it even more useful and exciting!
Smart Home Automation
The purpose of the Smart Home Automation project is to simplify home control processes using voice commands and license plate recognition technology. Developed with the PictoBlox platform, this system enables doors and lights to be controlled through voice commands and allows secure garage door access via license plate recognition. This not only enhances comfort and security for residents but also promotes energy efficiency. Additionally, the project aims to facilitate independent living for disabled individuals, elderly people, and those with limited mobility
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.