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SmartEdu - AI Adaptive Learning Platform

Overview

SmartEdu - AI Adaptive Learning Platform is positioned as a portfolio-grade case study focused on production-oriented engineering practices in ai / ml platforms.

Problem Statement

Static learning tracks fail to adapt to student pace and performance variability.

Architecture

The architecture is designed for clear separation of concerns, secure boundaries, and growth under higher traffic/usage scenarios.

Tech Stack

Python, Scikit-learn, Node.js, React

Features

  • Role-aware workflow design
  • Secure access boundaries and data handling
  • Modular components for scale and maintainability
  • Observability-minded service interactions

Architecture Diagram

See diagrams/ai-platform-architecture.mmd.

System Design Decisions

Implemented clustering-based personalization and feedback loops to dynamically adjust content difficulty.

Engineering Challenges Solved

Balanced model-driven recommendations with explainability and low-latency full-stack delivery in a hackathon timeline.

Setup Instructions

  1. Clone the repository.
  2. Review docs in docs/ and architecture notes in �rchitecture/.
  3. Implement or plug in project-specific services under src/.

Future Improvements

See future-work.md.

About

AI adaptive learning platform with ML-driven personalization and full-stack delivery.

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