Built a High-Performance Enterprise LMS Platform with Base44 for Edvorsa
Edvorsa required a scalable enterprise learning platform to deliver seamless digital training experiences across departments and user groups. The organization aimed to modernize its legacy system by adopting an enterprise LMS platform with Base44 to ensure high performance, flexibility, and long-term scalability. The platform was developed using Base44 with AI-assisted engineering practices to accelerate development cycles and ensure reliable performance across web-based learning environments.
Multi-Vendor Marketplace Architecture
Advanced Event Creation & Ticketing Engine
OTP-Based Parent Authentication System
Automated Commission & Payout System
Design a scalable LMS system supporting thousands of concurrent users without performance degradation issues
Build a flexible course management system supporting multiple formats and structured learning path configurations
Ensure secure role-based access control across multiple users and permission management layers
Enable real-time progress tracking and reporting without affecting system performance under load
Our Base44 developers built a modular LMS architecture using Base44 with scalable services, optimized APIs, and efficient load handling across distributed learning systems.
We developed a dynamic course builder supporting videos, documents, quizzes, structured modules, reusable components, and seamless content management across diverse learning workflows.
We set up secure login using JWT with clear role permissions, protected user data, and proper access control across all users and system layers effectively.
Our team built real-time dashboards using fast queries, caching methods, and stable data flow to keep reporting quickly even under heavy system usage.
Multi-role dashboards designed for admin trainer and learner level access
Course creation system with multimedia content and structured learning modules
Automated assessment engine with instant grading and certification generation system
Real-time analytics dashboard with complete learner progress tracking capabilities
03
December 2025 - February 2026
Achieved a 35% reduction in false positive fraud detection decision rates
Enabled real-time fraud identification across millions of daily transactions processed
Improved model accuracy by 40% through optimized feature engineering techniques
Handled over 5 million transactions daily without any performance degradation issues
Increased fraud detection rate by 45% using adaptive behavioral signal analysis
Reduced manual fraud review workload by 50% through intelligent automation systems
| Frontend | React 18TypeScript Tailwind CSSRedux Toolkit |
| Backend | Node.jsExpress.js |
| AI Assisted Development | Base44 GitHub Copilot |
| Database | PostgreSQLRedis |
| File Storage | AWS S3 |
| Payment Processing | Stripe |
| Authentication | JWT Twilio OTPbcrypt |
| Rich Content and Forms | React Hook Form ZodTipTap Editor |
| Build and Deployment | Docker GitHub ActionsCI CD Pipelines |
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