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ENGINEERING CASE STUDY · DEMO

Adhyayan

AI-Powered Learning & Knowledge Platform

Portfolio concept
PROJECT OVERVIEW

A production-oriented educational platform with structured content ingestion, AI-assisted knowledge processing, student-facing learning experiences, and scalable data workflows.

ROLEFull-Stack / Product Engineering
STATUSPortfolio concept
01 / THE PROBLEM

Understanding the workflow.

Learning content often lives across disconnected documents, tools, and interfaces. A coherent product needs to connect content processing with the actual learning experience.

02 / THE SOLUTION

A connected approach.

A unified platform that turns source material into structured knowledge and makes it accessible through a purposeful student interface.

03 / ARCHITECTURE

Designed as a system.

01

Content ingestion & validation

02

Knowledge processing pipeline

03

PostgreSQL content models

04

React learning interface

04 / KEY FEATURES

Purposeful functionality.

  • Structured content library
  • AI-assisted knowledge processing
  • Learning workspaces
  • Reviewable content workflows
05 / ENGINEERING CHALLENGES

Beyond the happy path.

Keeping asynchronous content workflows understandable while maintaining clear boundaries between original material and AI-assisted output.

06 / TECHNOLOGY STACK
ReactTypeScriptPostgreSQLSupabaseCloudflareDockerAI APIs
07 / OUTCOME

A foundation to build on.

This demo explores a cohesive product architecture. Production outcomes and verified results will be added with the final case study.

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