Merge pull request #9 from jaredb1011/Mr-Homeless-patch-1

updated readme

Author: jaredb1011

README.md

@@ -1,13 +1,26 @@
 # waldo-anticheat
 A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games.
 
+# Notes
+* This project is still under development. 
+
 ## The What
-A new market for cheats that are visually indistinguishable to the human eye have led to a rise in "closet hacking" among streamers and professionals.
-This form of cheating is very hard to detect. In some cases, nearly impossible to detect due to the humanized aim assist coming from another system entirely. 
+A new market for cheats that are visually indistinguishable to the human eye have lead to a rise in "closet hacking" among streamers and professionals.
+This form of cheating is extremely hard to detect. In some cases it issible to detect, even with today's most advanced anti-cheat software. 
 
 We will combat this new kind of cheating by creating our own deep learning program to detect this behavior in video clips.
 
 ## The How
 Because of the advanced technology used, the only reliable way to detect this form of cheating is by observing the cheating behavior directly from the end result- gameplay. Our goal is to analyze the video directly using deep learning to detect if a user is receiving machine assistance.
 
 Phase 1 focuses primarily on humanized aim-assist. Upon completion of phase 1, WALDO's main function will be vindication and clarity to many recent "hackusations."
+
+# Skills needed: 
+1. Machine learning / neural networks / AI 
+2. Visualizations and graphics 
+3. Data analysis 
+4. General python 
+5. Website design / programming 
+6. Game graphics / video analysis 
+7. Gamers
+8. Current closet hackers you can help ( ͡° ͜ʖ ͡°)