Smart Earthquake Rescuer Robot
This project is a controlled mobile robot embedded with audio/video camera that stream in real-time and classify the humans detained under the ruins of destructed building post earthquake, we use the build the tracker model of LEGO MINDSTORMS EV3 that appropriate for the mentioned environment and programming the control of this robot by arrow keys in the keyboard and we add a mobile handler to the robot so we can put the mobile phone to stream the audio and video from it to my program using droidCam app that link the phone and the computer on the same WIFI network, and we analyze the real-time streamed video using a machine learning model the classify the human body parts and human faces under ruins and then notify the rescuers with this values by e-mail using the IFTTT extension and webhooks server, the prototype is tested in a real post earthquake environment and it’s return with great result as expected
PROJECT SENIOR GAMING
Senior citizens’ cognitive health declines as they age. Digital games can keep their brain active, engaged and are very good for their mental and emotional well-being. However, the current video games are mostly created for young people and are very challenging and complicated to play. So, my project- Senior gaming, is an AI-enabled memory recall game, that will work for the betterment of senior citizens’ cognitive health. The game is fun, easy to play, uses hand gesture movements and the gameplay is something senior citizens/our grandparents can relate to.
Inclusive App for Mute People- Aarav Agarwal
This project has an application which is designed to help service providers such as Shops, Police and Hospitals to interact with mute people and provide desired service to them. It converts sign language to speech and text for service providers to serve mute customers. This program based application only requires a smartphone or a tab and no expensive installation or procurement is required.
Security Ex
First I put the Start block then I put the Close background and the the open background. After opening background I put say “Hello
my name is security Ex “ for 2 seconds then I put “ Please click on the blue button” for 2 seconds. After that I went to more blocks
And add face recognition. Face recognition will analyze your face . You have to keep very still or else it will say “ Face declined” or it
Will Say “Face not matched please try again.” If you keep your face Very still while analyzing it will recognize you and say “ Welcome
To your house ( your name).” Or “ Welcome ( Your name).
Manan Joshi Rare Animals App
This project includes dome of the animals that we can’t normally see everyday and i did this project in MIP App Inventor
Save the Environment, Save the Earth
This project is about demonstrating the importance of save the environment and save the earth.
ACCIDENT AVOIDER
THIS IS USED TO SAVE LIFE FROM ACCIDENT THIS ALSO SAVE ANIMALS FROM ACCIDENT.
Tree Detector
Amna and Eisa from Al Watan School – Abu Dhabi.
We created a system which detects good /bad tree.
Detect trees good or bad, then plant new to save the environment.
HealthMetric
My project allows people to get world-class health care from the other side of the screen at home. HealthMetric treats diseases. HealthMetric software enhances or tracks the overall health of the user.HealthMetric improves medical assistance and the patient recovery process. HealthMetric is the maintenance and restoration of health through the treatment and prevention of disease, especially by trained and licensed professionals online.
Driver drowsiness alert system
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. Some of the current systems learn driver patterns and can detect when a driver is becoming drowsy. This is a system that assesses the driver’s alertness through vehicle systems analysis and warns the driver if needed. We have made an alert system for the driver using Machine learning. We trained images for awake and drowsy. Then, tested our model and exported it to do the programming part. We recorded our own sound to alert the driver when drowsy. This is used in the theme of Smart transportation system.
