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AI-Powered Personalized Learning Platform Enhancement
  1. case
  2. AI-Powered Personalized Learning Platform Enhancement

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AI-Powered Personalized Learning Platform Enhancement

miquido.com
Education
Information technology
Healthcare

Challenges

AIDIFY faces challenges in keeping pace with the evolving pharmaceutical industry's regulations, providing personalized learning experiences with limited initial user behavior data, and mitigating user churn.

About the Client

AIDIFY is a pioneering startup providing personalized learning solutions for the pharmaceutical industry, focusing on compliance and skill development.

Objectives

  • Accelerate the time-to-expertise for pharma employees.
  • Enhance user engagement and retention.
  • Maintain a high level of recommendation accuracy and relevance.
  • Reduce user churn rate.

Functional Requirements

  • Hybrid recommendation engine (content-based and collaborative filtering).
  • Churn prediction module with risk assessment.
  • Personalized course recommendations based on user behavior, progress, and feedback.
  • Progress tracking and skill gap analysis.
  • Integration with learning content repository.
  • Reporting and analytics dashboards.

Preferred Technologies

Machine learning algorithms (collaborative filtering, content-based filtering).
Data analytics platforms.
Cloud computing infrastructure.
API integrations.

Integrations Required

  • Learning content management system (LMS).
  • CRM system for user data.
  • Analytics platforms (e.g., Google Analytics).

Key Non-Functional Requirements

  • Scalability to handle a growing user base.
  • High performance and responsiveness.
  • Data security and privacy compliance (e.g., GDPR, HIPAA).
  • Reliable system uptime.

Estimated Impact

The project is expected to accelerate the time-to-expertise of pharma employees, leading to faster adaptation to new regulations, reduced training costs, and enhanced compliance. Improved user engagement and retention will result in a stronger market position and increased customer satisfaction.

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