TipTop CA
A fully production-grade, revenue-generating Learning Management System scaled to support 1000+ active students with automated workflows and AI integration.

The Platform
TipTop CA is a fully production-grade, revenue-generating Learning Management System (LMS) that I independently designed, developed, deployed, and scaled to support 1000+ active students. The platform is engineered with a strong focus on automation, performance, scalability, and real-world business workflows.
I built a complete authentication and user management system with secure signup, login, and email verification to ensure controlled access. The platform implements role-based access control (RBAC) for Admins, Instructors, and Students, enabling structured permission handling across the system.
Automation & Payments
One of the core highlights is the fully automated onboarding workflow. After a successful first payment, the system triggers automated Microsoft Azure account creation for students, eliminating manual intervention and streamlining operations.
The payment infrastructure is deeply integrated using PayFast, supporting one-time payments, installment plans, upsells, and webhook-based verification. I implemented backend logic to handle asynchronous payment confirmations, retries, and status tracking to ensure reliability.
Dynamic Student & Admin Dashboards
The student dashboard is highly dynamic and personalized, allowing users to access course content, track progress at a granular level, and monitor learning activity. The platform also includes automated notifications and certificate generation upon course completion.
On the admin side, I developed a full-featured dashboard that includes student management, course content control, payment tracking, RAG knowledge base management, and detailed analytics.
AI Chatbot Integration
I built an AI-powered chatbot using a Retrieval-Augmented Generation (RAG) architecture. This includes processing and converting course materials into structured JSON knowledge bases, implementing intelligent context retrieval, and integrating with an AI model to deliver accurate, context-aware responses. This significantly reduces support load while improving the student experience.
DevOps & Infrastructure
From an infrastructure perspective, I handled full deployment and DevOps. The application is deployed on a Hostinger VPS with Nginx configuration and SSL setup. Process handling is managed via PM2, and I built a CI/CD pipeline for automated deployments, ensuring server stability and uptime.
Project Highlights
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