English version 🇱🇷 - (Go to Brazilian version 🇧🇷)
This project aims to build anti-fraud software. The data is obtained from a csv file (data.csv), which contains the data displayed in the following spreadsheet.
The data obtained is being considered as an analysis of a previous day, for example, instead of a real-time analysis of the purchase, given that it is already known that chargebacks are fraud.
For this project, the knowledge obtained in the previous questions was used to create a score-based anti-fraud tool.
The results are located in this spreadsheet.
Below are the technologies used in the project:
-
Clone this repository (make sure you have python installed on your machine)
-
Install the project libraries (library documentation), they are available in the requirements.txt file
pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib- Run the application with
python3 main.py-
Connect to the registered email (informed in the project delivery email)
-
Done! Analyze data from all users in an easy way, in the data spreadsheet. Analyze suspicious user and card activity in their respective spreadsheets