Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2025
Supervisor
Abdul Hafeez Khawaja, Visiting Faculty, Department of Computer Science
Keywords
AI newsletter, GPT-4o, OTT content
Abstract
This project presents a fully automated, end-to-end solution for generating OTT (Over-the-Top) streaming newsletters. It is designed specifically for organizations like a leading VPN provider that aim to highlight newly available streaming content to their global user base without the labor-intensive manual processes traditionally involved. The system integrates web scraping, AIpowered copywriting, image generation, and HTML formatting, providing a complete newsletter generation pipeline accessible via a graphical interface. Compared to existing tools like Mailchimp, Phrasee, or Canva, our tool stands out due to its vertical integration and VPNspecific deeplink capabilities. The solution significantly reduces production time, ensures consistency, and offers scalability for multilingual, country-specific campaigns.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Muazzam, S. (2025). Automated End-to-End Newsletter Generator for Streaming Content (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/56
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