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Friend Affinity Finder

An application that lets a user find the affinity they have with their friends based on their comparative needs and values, which are derived from their respective digital presence. The application also classifies and ranks the user’s friends based on their Big 5 personality characteristics and gives fun insights on their friends' interests.

The project uses a Python Flask server, a MongoDB Cluster and an Android application user interface. Built for the IBM Hack Challenge 2019 collectively by Team 128 Gigs.

The Team

128 Gigs is 4 member team consisting of:

Running the server

Once you have cloned the project repository, install the following Python modules:

python -m pip install flask
python -m pip install pymongo
python -m pip install facebook-sdk
python -m pip install tweepy
python -m pip install ibm-watson

Once the modules are installed, start the server by issuing the following command:

python -m flask run -h 0.0.0.0

The server will be up and running and can be accessed at port 5000 of localhost, by default.

To change the port:

python -m flask run -h 0.0.0.0 -p PORT_NUMBER

Connecting application to server

To run the application, install Android Studio

If installed, open Android/FriendAffinityFinder in Android Studio

To connect your flask server, follow the steps below:

  1. Navigate to Android/FriendAffinityFinder/app/src/main/res/values/strings.xml

  2. Find IP address of the system running the server

  3. Change <string name="URL">http://192.168.43.245:5000</string> to <string name="URL"><YOUR_IP_ADDRESS>:5000</string>. If you're running on custom port, change 5000 to your PORT_NUMBER

  4. Connect Test Device to same network as the server

  5. Run the application from Android Studio

Test Users

Since Facebook API is in Development mode, regular users cannot log in. So use the following test users while testing

Email Password
vcqapfably_1563655783@tfbnw.net sheismytestuser
uihomikxdx_1563655781@tfbnw.net heismytestuser
igsayguwjq_1563351256@tfbnw.net sheismytestuser
open_kfbmyjv_user@tfbnw.net heismytestuser