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A python command line reverse geocoding location request and response tool based on the coordinates of cell phone towers pinged by a user's mobile device and obtained through records provided by their wireless carrier. My final project for my digital forensics class.

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Stephanie Michalowicz Digital Forensics Final Project NYU

iFind: A python command line reverse geocoding location request and response tool based on the coordinates of cell phone towers pinged by a user's mobile device and obtained through records provided by their wireless carrier.

To run, you must first install gmaps by running the following command:

pip install gmaps

'-tower' cell tower data
'-record' phone record
'-directory' output directory
'-heatmap' show a heat map
'-polygon' create a polygon to triangulate area between towers
'-lines' show an outline / line
'-markers'show markers colored by record type
'-order' show order of activity
'-activity' show phone record activity type (i.e., ping, call, SMS, email
'-day' show the date
'-time'show the time


______________________
|     Map Legend       |
|______________________|
|______________________|
| Color   Record Type  |
|~~~~~~~~~~~~~~~~~~~~~~|
| Blue    | SMS        |
| Red     | Email      |
| Green   | Ping       |
|______________________|
| Black   | First Tower|
|______________________|
|______________________|
| Line    | Tower Path |
|______________________|
|______________________|
| Blue    | Potential  |
| Area    | Location   |
|______________________|
  


TO DO:

  1. If tower IDs are already sorted and tower list is larger than data file, convert to binary sort to decrease run time from O(n log n) to: best case O(1) average/ worst case O(log n)

  2. Convert if/else to switch case method - is there a way in python besides using functions or lambdas?

  3. Give option to show times/dates in a range

  4. Figure out how to scale the legend and make it float

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A python command line reverse geocoding location request and response tool based on the coordinates of cell phone towers pinged by a user's mobile device and obtained through records provided by their wireless carrier. My final project for my digital forensics class.

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