OXELVO
OXELVO
ADAPTIVE AI LMSEducation & EdTech Solutions•Production Blueprint & Deployment

AI-Powered Adaptive Learning & Campus LMS Platform

An intelligent campus management and learning portal integrating automated assignment grading, rubric-aligned feedback generation, code sandboxes, and early student intervention analytics.

CORE STACK:Next.jsPythonFastAPIPostgreSQLWebAssemblyDockerAWS
AI-Powered Adaptive Learning & Campus LMS Platform Architectural Demonstration
ADAPTIVE AI LMS • PRODUCTION PROTOTYPE
The Technical & Operational Challenge

Identifying the Core Problem

Educational institutions struggle with overloaded grading queues, delayed assignment feedback loops, and fragmented student engagement data across disparate legacy portals.

Engineered Architecture & Solution

How OXELVO Solved It

OXELVO engineered a modular educational platform pairing Next.js streaming user interfaces with localized LLM evaluation pipelines. Teachers configure deterministic grading rubrics while students receive instant, actionable feedback in sub-2 seconds.

Delivered Capabilities

Key System Features

  • Rubric-aligned grading engine with deterministic grading criteria and bias prevention
  • Interactive multi-language coding playground with isolated WebAssembly execution
  • Student learning velocity telemetry identifying learners requiring proactive tutoring
  • Real-time collaborative classrooms with audio/video streaming and live whiteboard
  • Full SCORM/LTI compatibility integrating existing university databases
Architectural Blueprint Highlights

Engineering Decisions & Guardrails

Client-side WebAssembly sandbox preventing malicious student script execution
Event-driven student telemetry streaming through Redis pub/sub pipelines
Automated PDF syllabus ingestion extracting weekly milestones into calendars
Project Transparency Notice

This project represents an active technical demonstration and architectural blueprint engineered by OXELVO. We share code blueprints, schemas, and live demonstrations to verify real-world feasibility before client commercialization.

SPECIFICATIONSVERIFIED
Feedback SLA< 2.4sSub-3s rubric evaluation turnaround
Grading Precision99.1%Deterministic human-verified rubrics
Concurrency25k+Simultaneous active student sessions
Sandbox SecurityWasmClient-side isolated code execution
TIMELINE:8 Weeks Architecture Sprint
STATUS:Production Blueprint & Deployment
SIMILAR CHALLENGE?

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