Brain cancer is one of the most life threatening disease of our time, and since the chances of developing brain cancer is mostly based on uncontrollable factors like genetics, age & ethnicity it makes it even more dangerous. With seven billion people and counting the probability of people having the right conditions to get brain cancer is at an all time high. With this in mind I felt the need to develop a tool that helps doctors to identify cancer tumors from non cancerous soft tissue tumors at higher accuracy without compromising on speed or having the need to use special equipment. With the help of machine learning algorithm and convolution neural network MRI images can be analyzed for potential clues for cancerous tumors at an instant. To atomize this process I have programmed smart communication system along with it to personally notify patients about the test results.
