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AI-Powered Educational Content Platform Modernization and Scalability Enhancement
  1. case
  2. AI-Powered Educational Content Platform Modernization and Scalability Enhancement

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AI-Powered Educational Content Platform Modernization and Scalability Enhancement

miquido.com
Education

Challenges in Scaling and Personalizing AI-Driven Educational Content

The client requires a complete platform overhaul to scale user capacity without increased costs while maintaining personalized content generation. They need advanced AI solutions for educational material personalization using large language models, combined with in-house AI expertise development to ensure solution quality and security.

About the Client

French AI startup specializing in automated educational content creation for teachers and instructional designers

Objectives for AI Platform Modernization

  • Develop a scalable, cloud-agnostic AI engine for educational content creation
  • Implement personalized learning path generation using multimodal AI models
  • Reduce manual content correction through automated quality assurance
  • Establish internal AI development capabilities through technical partnership
  • Integrate secure vector database infrastructure for efficient data processing

Core System Functionalities for AI-Driven Education Platform

  • AI content generation using large language models (GPT-4, Mistral, Gemini)
  • Serverless architecture with Kubernetes orchestration
  • Vector database implementation for semantic search capabilities
  • Retrieval-Augmented Generation (RAG) architecture for content accuracy
  • User data integration for personalized learning paths
  • Multimodal content support (video, audio, images)
  • Administrative dashboard for content quality monitoring

Modern AI Development Technology Stack

Python
Kubernetes
Knative
Serverless architecture
PostgreSQL
Qdrant vector database
Draive AI framework

Critical Third-Party System Integrations

  • Gladia AI
  • Assembly AI
  • Mistral AI
  • ChatGPT API

Platform Performance and Security Requirements

  • Auto-scaling capability for 10x user growth
  • Cost-effective serverless resource management
  • Enterprise-grade data security compliance
  • Cross-cloud deployment flexibility
  • 99.9% system uptime SLA

Expected Business Impact of AI Platform Modernization

Implementation will enable 10x user capacity growth with 70% reduction in content creation time, achieving 10+ hours saved per project for educators. The scalable architecture will support multimodal content generation while maintaining vendor neutrality, positioning the platform as a market leader in both academic and corporate training sectors through enhanced personalization and operational efficiency.

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