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EdTech & Generative AI · Curriculum Intelligence & Assessment

Autonomous Multilingual Mock Test & Exam Generation Engine

A multilingual generative-AI engine that creates curriculum-grounded mock tests with deduplication and quotas.

The challenge

What needed solving

Generate curriculum-grounded, non-redundant MCQ assessments from textbook syllabi across regional languages while managing LLM rate limits, context-window constraints and asynchronous processing.

Architecture & solution

How we engineered it

Built an asynchronous FastAPI assessment-generation service with priority-based background workers, LangChain syllabus chunking, pooled MySQL persistence and Google Gemini structured generation. Implemented NFKC/MD5 deduplication, multilingual routing, stateful test lifecycles and atomic quota management.

Measured outcome

What it delivers

Automated MCQ generation · Zero-redundancy validation · Multilingual assessments · Context-aware processing · Async generation pipeline · Stateful recovery · Quota enforcement.

Technology

Tech stack

  • FastAPI
  • Python
  • LangChain
  • MySQL
  • Pydantic
  • PriorityQueue
  • REST
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