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Mobile AppsClient: EdTech Startup (Online Course Marketplace)
Building an AI-Powered Recommendation Engine for an EdTech Learning Platform
Learners struggled to discover relevant material in a large course catalog, leading to low completion rates. We built an API-first custom web platform equipped with an AI recommendation model.
Custom Web AppAI Recommendation EngineAPI Integrations
Validated Metric Outcome58% Higher Completion
The Pain Points
Operational Challenges Before Engagement
- High course catalog size but poor course-completion and repeat-enrollment rates.
- Learners struggled to find relevant courses, increasing drop-off after sign-up.
- Manual, static course suggestions were unrelated to individual learning behavior.
- No unified data layer connecting user activity, progress, and purchase history.
Our Solution
Strategic & Technical Execution
Developed a custom web application with an AI recommendation engine based on learner behavior, integrating video, payment, and certification APIs into a unified user flow.
Key Deliverables
- Custom React/Node.js learning platform
- AI recommendation engine (content-based + behavioral model)
- Third-party API integrations (payments, video, certification)
- Analytics layer for engagement and completion tracking
Measured Impact
The Results Achieved
58% increase in course-completion rate
2.4x increase in repeat course enrollments
33% uplift in average revenue per learner
Target Keywords & Topics
#AI recommendation engine development#custom EdTech platform development#AI in education technology#custom web app development#learning platform personalization
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