https://github.com/ct83/video-viewing-automator

This AutoIt Application was written to automate the job of watching videos, selecting next videos, managing the network anomalies for a website which paid users to do so.
https://github.com/ct83/video-viewing-automator

Last synced: 4 months ago
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This AutoIt Application was written to automate the job of watching videos, selecting next videos, managing the network anomalies for a website which paid users to do so.

• Host: GitHub
• URL: https://github.com/ct83/video-viewing-automator
• Owner: CT83
• License: apache-2.0
• Created: 2017-10-22T01:59:10.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-10-22T03:04:36.000Z (over 8 years ago)
• Last Synced: 2025-11-29T22:40:26.787Z (7 months ago)
• Language: AutoIt
• Size: 26.8 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Video-Viewing-Automator




Introduction:

This AutoIt Application was written to automate the job of watching videos, selecting next videos (managing the network anomalies, change in network speeds) for a website which paid users to do so.

This was my first Business Application which was actually used by a third party.

April 2016 - Aug 2015 (6 Hours/Day)

September 2015 - December 2016 (3 Hours/Day)





Vision:

The project was aimed at automating a job which required 24x7 human interaction to something which was capable of running all on it's own with close to zero human intervention. 

Result



It was a major success as it removed need of 3 Shifts of unskilled workers working 24x7.

Saved the company 33% in revenue

Increased efficiency by 50%

Eradicated the need of any Human Interaction

whatsoever, dealing with powercuts and Internet Speed

drops on it's own.





Screenshots

Video-Viewing-Automator

![Screenshot](README/image1.JPG)




Libraries:



Tesseract for Character Recognition









Tools:



AutoIt Script Editor







Conclusion

After all the Stats Generation, and running successfully for a month the website went offline and turned out to be a scam and thus due to unavoidable circumstances the project failed to generate me any revenue, my efforts practically being futile; Though looking back, the experience I gained during the development of the application prepared me for my future projects.