Create README.md

Author: JordanMicahBennett

README.md

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+# AUTHOR
+Jordan Micah Bennett, software engineer
+
+# SMART-CORONA_VIRUS_DETECTOR
+The aim is to develop a quick way to detect the nCov 2019 (Coronavirus 2019) strain, with the plan to use convolutional neural networks and generative adversarial neural networks.
+
+# PLANNED STEPS
+
+1. Take as input, blood sample/spatter against a white or clear background.
+
+2. Apply super-resolution to that image using a generative adversarial neural network.
+
+3. Try to identify whether the super-resolved image contains white blood cells that are 
+
+
+# WHY?
+
+* The nCov 2019 (Coronavirus Strain 2019) is spreading, with a mortality rate between 2 and 4%. 
+* Current screenming methods may miss the presence of the virus because:
+    * The incubation period may constitute 0 symptoms, so temperature scans may miss carriers [with 0 symptoms during incubation](https://www.japantimes.co.jp/news/2020/01/26/asia-pacific/science-health-asia-pacific/fever-china-virus-detection-harder/).
+    * Over the counter pills can be used to lower temperature, again, [averting the temperature scanning/screening measures](https://www.dailymail.co.uk/health/article-7924801/Chinese-woman-bragged-cheating-airport-coronavirus-screenings-tracked-France.html).
+