The Problem
LinguaLeap, a rapidly growing language learning platform, struggled with user churn
after the initial 30-day period. Their learning path was static and didn't adapt to
individual user progress or learning styles, leading to boredom or frustration.
Key Challenges
- A "one-size-fits-all" curriculum for all users.
- Difficulty in recommending relevant practice content from a vast library.
- Low completion rates for advanced modules.
- Competitive pressure from other apps launching AI-powered features.
Our Solution
We designed and implemented a sophisticated AI-powered personalization engine to
create adaptive learning journeys for every user.
- Developed a content recommendation engine that analyzes user performance to
suggest targeted vocabulary, grammar, and conversational exercises.
- Built an adaptive learning algorithm that adjusts the difficulty of lessons in
real-time based on user accuracy and speed.
- Created a "Forgetting Curve" model that schedules personalized review sessions
to maximize long-term retention.
- Integrated the engine seamlessly via API into their existing mobile and web
applications.