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EdTech & E-Learning

Engineered a scalable SaaS learning management system featuring AI-automated grading and personalized learning paths for 100k+ students.

Role
SaaS & AI Partner
Timeline
14 Weeks
Tech Stack
ReactNestJSOpenAI APIAWSWebSocketsPostgreSQL

The Challenge

A rapidly expanding EdTech startup was struggling to scale their operations. As their student base grew past 50,000, their infrastructure began to crack.

  • Manual Grading Bottleneck: Instructors were spending 80% of their time grading subjective assignments, delaying feedback to students by up to a week.

  • One-Size-Fits-All Learning: Students were dropping out because the curriculum didn't adapt to their individual learning speeds or knowledge gaps.

  • Platform Instability: Their monolithic legacy platform crashed frequently during peak exam hours.

The Solution: Scalable SaaS & AI Automation

We rebuilt their entire platform as a modern, microservices-based SaaS application, heavily integrating AI automation to handle the heavy lifting.

1. AI-Automated Grading System

We implemented a sophisticated AI pipeline to automate the evaluation of complex, subjective assignments.

  • Contextual Analysis: Using fine-tuned LLMs, the system evaluates essays and coding assignments not just for correctness, but for logic, structure, and style.

  • Instant Feedback: Students now receive detailed, constructive feedback within seconds of submission, rather than waiting days.

  • Instructor Override: Instructors review AI-flagged edge cases via a streamlined dashboard, reducing their grading workload by 90%.

2. Adaptive Learning Web App

We built a dynamic React-based web application that personalizes the educational journey.

  • Knowledge Graphing: The system tracks every interaction, quiz result, and video watched, building a real-time knowledge graph for each student.

  • Dynamic Curriculum: If a student struggles with a specific concept, the AI automatically adjusts their learning path, serving prerequisite modules or alternative explanations before moving forward.

3. Enterprise-Grade SaaS Architecture

To ensure stability, we migrated them to a robust cloud infrastructure.

  • Microservices & Auto-Scaling: Built with NestJS and deployed on AWS ECS, the platform automatically scales up server resources during high-traffic exam periods and scales down to save costs during off-hours.

  • Real-Time Collaboration: Integrated WebSockets for live, interactive whiteboard sessions and peer-to-peer study groups.

The Impact

The AI automation completely eliminated the grading bottleneck, allowing instructors to focus on high-value 1-on-1 mentoring. The personalized learning paths increased student retention by 45%, and the new SaaS architecture effortlessly supports over 100,000 active users with 99.99% uptime.

Key Impact

-90%
Grading Time
+45%
Student Retention
100k+
Active Users

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