Omaromran.com Website Review

computer scientist & tech entrepreneur my goal in life has always been to create the next big thing that will help and improve the world. my path started when i co-created the fastest and most accurate malaria detection software. then, frustrated by the education system, i co-founded teranotes - a social learning platform. students can study together, and find the best educational resources in one click. later on, i co-founded live love - a social enterprise on a mission to move the world through creating hope and. life's most persistent and urgent question is, 'what are you doing for others?'. live love is a social enterprise on a mission to move the world through creating hope and funding youth projects. it has been incubated and funded by the design accelerator at idealab in la, usa in partnership with caltech. live love got adopted by the ministry of tourism of lebanon and became the official campaign of the nation raising tourism by 21% in 2014.today, it counts 14 million cu*ulative likes on instagram, 160,000 images, and bracelets sold in 42 countries. social learning platform where course content is crowd sourced by the users. students can submit, rate, and comment any course content, as well as create private study groups and share any type of resources. the average session time spent per user studying on it was 45 minutes. the startup was part of the 2% of all startups who reached the final interview at ycombinator (the largest incubator in the world). founded during college, it's the first startup company in lebanon to develop mobile applications. it was ranked as one of the top mobile development companies in lebanon by executive magazine. it attracted more than 12 clients from lebanon and the united states such as: viking range, ihouse at uc berkeley, winston, middlby corp, lebanese american university. bachelor of science in computer science. torch award recipient. for developing a malaria detection software. it's the fastest and most accurate software in the world to detect malaria using image an*lysis.