Missed Class Recovery Engine
AI-Powered EdTech Automation & Lecture Synthesis System
01 // OVERVIEW
An intelligent automation pipeline engineered to solve academic continuity challenges. When student absence is recorded, the engine ingests lecture slides, transcriptions, and curriculum nodes, running them through NLP summarization routines before delivering structured recaps directly to students.
02 // THE PROBLEM
When students miss classes due to health, hackathons, or family events, catching up requires piecing together fragmented classmate notes, often resulting in missed conceptual fundamentals.
03 // ARCHITECTURAL SOLUTION
Created an automated pipeline integrating n8n workflow orchestrations with Node.js and Python microservices, leveraging MongoDB for unstructured transcript storage and PostgreSQL for relational curriculum indexing.
04 // CORE CONTRIBUTIONS
- ↳Orchestrated event-driven workflows in n8n connecting student attendance logs to content extraction pipelines.
- ↳Implemented Python-based NLP summarization microservices to generate concise bullet-point lecture recaps and actionable study notes.
- ↳Engineered dual-database architecture: PostgreSQL for student records and MongoDB for raw syllabus documents.
- ↳Integrated automated transactional email delivery keeping students informed within hours of class completion.