Cast Your Vote for the 2019 Cisco Global Problem Solver Challenge Finalists
Our third annual Cisco Global Problem Solver Challenge aims to recognize new business ideas that leverage technology for social impact from student entrepreneurs around the world. The Challenge is open to students and recent alumni from any college or university.
$300,000 USD in prize money will help accelerate the adoption of breakthrough technology, products, and services that drive economic development and/or solve social or environmental problems.
You may vote for as many entries as you like, but you can only vote once per entry. Winners will be announced on May 20, 2019.
Over 600 million people presently live without access to electricity in Africa and data from the UN shows that over 70 million Nigerians live without steady access to electricity. However, affordable access to clean and reliable energy will unlock national and global opportunities to millions of Nigerians currently living without power. Through our proprietary energy and IoT system, Reeddi sustainably provides clean energy at a price point that every African at large can afford.
Strella Biotechnology creates biosensing platforms that help eliminate food waste and improve produce quality. 2 out of 5 apples are wasted before they are consumed, mainly in packing and distribution. This is because packers lack access to real-time data on ripeness levels in controlled atmosphere storage rooms, causing poor decision-making and food waste. We solve this problem by installing sensors in storage rooms that selectively detect ethylene and monitor fruits as they ripen.
Manual infusion treatment leads to the death of 500,000 babies and 76,000 pregnant women annually. 1 in 4 people dying from conditions caused by blood clot. Also, 1 in 5 people on blood transfusion and drip have suffered complications because they were given too much or too little fluid, with hundreds potentially dying. REALDRIP device monitors blood transfusion and drip to prevent blood clot and complications during drip treatment by continuously monitoring flow rate and automating the process.