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EdTech Platform Technical Optimization and Automated Marketing Solution Development
  1. case
  2. EdTech Platform Technical Optimization and Automated Marketing Solution Development

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EdTech Platform Technical Optimization and Automated Marketing Solution Development

djangostars.com
Education
Information technology

Platform Challenges

The platform experienced technical debt, suboptimal search engine performance, and lacked automated video teaser production capabilities. These issues hindered user acquisition, SEO rankings, and scalability for future investment rounds.

About the Client

US-based edtech platform offering educational videos and AI-powered tutorship services

Key Project Goals

  • Strengthen development team capabilities for technical optimization
  • Improve SEO performance and page load times
  • Implement automated video teaser production and YouTube distribution workflow

Core System Requirements

  • Automated video teaser generation from educational content
  • API-connected YouTube distribution pipeline
  • Amazon-powered video conversion service
  • Smart prioritization algorithm for teaser content
  • SEO optimization toolkit for page performance monitoring

Technology Stack

Python
Django
AWS (Amazon Web Services)
YouTube API
Open-source libraries

System Integrations

  • YouTube API for video distribution
  • Amazon services for video processing
  • Google Search Console for SEO monitoring

Operational Requirements

  • High scalability for handling 100M+ user base
  • Sub-second page load times for SEO compliance
  • 99.9% system uptime for critical services
  • Cross-timezone development team collaboration framework

Expected Business Outcomes

Enhanced marketing capabilities through automated content distribution, improved search engine rankings driving 30%+ organic traffic growth, and technical foundation for scaling to 100M+ users while supporting future investment rounds.

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