Roku Libs

Compilation of utilities for Roku development

Digital Marketing & SEOBrightscriptMIT

Abstract

Roku Libs is an open-source Digital Marketing & SEO project. Compilation of utilities for Roku development. Libraries and utilities for BrightScript development. It is built using Brightscript. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

Libraries and utilities for BrightScript development.

The libraries and utilities are bundled into a sample project which sole purpose is to run unit tests built with Roku Unit Testing Framework. Any file can and should be used separately as they do not have dependencies with each other.

The Makefile included provides a few simple rules to help with the app installation and testing.

2. Objective

Compilation of utilities for Roku development

This project demonstrates how Brightscript can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

Brightscript

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • See the project README for exact requirements
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/juliomalves/roku-libs.git
cd roku-libs

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by juliomalves and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

Want to build this as your internship project?

Work on a Digital Marketing & SEO project like this with mentor guidance, weekly reviews and an internship certificate from Training Trains, Erode — online or offline.

Apply for Digital Marketing & SEO Internship