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|                       CROWDSOURCED SOCIAL MAPPING APPLICATION                             |
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|                                                               Author: Vijay Sankar Ganesh |
|                                                               Unity ID: vgsankar          |
|                                                               Student ID: 200066345       |
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|                                                                                           |
|     I. PRE-REQUISITES                                                                     |
| -------------------------                                                                 |
| The application requires the following to run correctly.                                  |
| 1. MongoDB (the mongod service should be running at port 27017)                           |
| 2. Internet Connection (the application needs to connect with Google Maps)                |
| 3. node.js, npm and bower                                                                 |
| 4. PyMongo, Flask, flask.ext.cors bson, datetime, json and random packages for Python     |
|                                                                                           |
|                                                                                           |
|     II. RUNNING INSTRUCTIONS                                                              |
| --------------------------------                                                          |
| 1. mongod service has to be running before the application can be started                 |
| (running on port 27017 - normally, the default port)                                      |
| 2. Go to Backend directory and start the flask server by running the following command:   |
|     python CustomServices.py                                                              |
| 3. Now, navigate to the Frontend directory and start the node server (angular)            |
| 4. Open the browser and go to localhost:[port#]/index.html                                |
|                                                                                           |
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Crowdsource to get a Social Map using AngularJS and Python

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