Nowadays, heart attacks are one of the leading causes of death. My solution is Life Shirt; a shirt that monitors one’s vital parameters in order to predict the risk of having a heart attack. The shirt uses a range of custom-made sensors and is able to monitor in real time. It is suited for intense activities like sport and people that are aged above 50. The shirt contains dehydration, temperature and heartrate sensors. With all the information that these sensors provide, it is able to predict a heart attack. As it will detect low hydration and high temperature accompanied with abnormal heartrate meaning the user’s body is danger. It will directly notify emergencies and loved ones. Hopefully, my solution will be the savior of many lives. That is my goal.
This project began on a beach, with an experiment, triggered by an image to become a concept: The Invisible Pollution of Sea Water. We thought of microplastic, quite nefarious, invisible and so abundant that removing it from the sea is highly challenging. This project is a driver for evolution, shifting mentalities and fostering social and scientific changes in unconventional ways; by engaging the community, you not only build a cheap and doable underwater remote operating robot / vehicle (ROV) or provide data for scientists, manipulate equations and laws of STEM found everywhere in our ROV but also interact and send pictures of our shores via a platform web that forms, informs and collects information and funds as well. From nothing we make something and from zero we will go hero.
Knowing in advance how air quality will change over time can help prevent the harmful effects of air pollution on health. Therefore, an entirely self-developed forecasting system consisting of a strong statistical model evaluated using different regression methods was built for this purpose. Data is provided by a wirelessly interconnected, self-sufficient measuring station built using a nanocomputer and sensors. The intelligent system I designed learns what air quality disturbs a specific user since people from different age groups with different diseases don’t endure the same pollution level. Thus, the platform tries to implicitly diagnose the capacity of a certain user to resist to air pollution so that adequate precautions can be provided.