Bump follow-redirects from 1.14.7 to 1.14.8 in /phone_code

.gitignore

@@ -1,3 +1,4 @@
+# phone code
 node_modules/
 platforms/
 www/
@@ -7,3 +8,22 @@ src/environments/environment.prod.ts
 www/
 platforms/
 copy_these_files/aws_scripts/aws_config.json
+copy_these_files/adapts_scripts/adapts_flask/config.ini
+*.pem
+*.csv
+aware-config.json
+phone_code/.angular/cache
+
+
+# server side code
+aws_config.json
+mysql_config.json
+saraSqlConfig.json
+*.pyc
+*package.json
+*package-lock.json
+*.pem
+config.ini
+
+.vscode
+./server_side_code

LICENSE

@@ -0,0 +1,29 @@
+BSD 3-Clause License
+
+Copyright (c) 2022, Statistical Reinforcement Learning group at Harvard University
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.md

@@ -1,5 +1,9 @@
 # SARAv2
-Substance Abuse Research Assistant V2
+Substance Abuse Research Assistant V2  
+
+# Dropbox Folder
+Associated documents: https://www.dropbox.com/sh/pnxm4ajpkag743a/AAArpb5AH0I-6UECaYVLc8zla?dl=0 
+Now moved to google doc folder: https://drive.google.com/drive/folders/1P9y5-P4gLJZPHvsxDyvy7hDSVuf9W6I0?usp=sharing
 
 
 # Project Description
@@ -10,7 +14,7 @@ SARA version 2 is extending version 1 in a number of ways: (i) we are focusing o
 
 The current contributors of this project are Harvard University, University of Michigan, and Children Hospital of Philadelphia.
 
-For more details, please check out the paper linked below or contact mrabbi@fas.harvard.edu
+For more details, please check out the paper linked below or contact mashfiqui.r.s@gmail.com
 
 <p align="center">
   <img src="https://raw.githubusercontent.com/StatisticalReinforcementLearningLab/SARA-Version1/master/app_code/9850-169539-1-SP.png" width="650"/>
@@ -72,6 +76,6 @@ Direct links to readme files for each of the modules are below:
 Our code heavily uses modules, components and service architecture from Angular 2 or above. If you are new to this architecture, we found [this Udemy course](https://www.udemy.com/course/the-complete-angular-master-class/) to be very helpful.  
 
 
-
-
+# RL Algorithm Documentation
+The documentation for the RL algorithm deployed on SARA version 2 can be found [here](https://hackmd.io/@NmVUyGhZTtGsYYlVWJx9uQ/BJangREBv).