Pariksha — AI-Assisted Examination Platform
AI-assisted cognitive examination preparation, syllabus mapping, and adaptive question synthesis platform engineered for high concurrency.
TECHNOLOGY STACK
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Overview
Pariksha is an in-house edtech platform engineered by AEIGS that helps candidates prepare systematically for competitive technical and public examinations through structured syllabus roadmaps, adaptive quizzes, and AI-synthesized knowledge evaluation.
The Engineering Challenge
Preparing for competitive exams typically involves disparate study materials, static PDF syllabus documents, and unverified mock tests. The system needed to ingest vast official curricula, build indexed topic graphs, and dynamically evaluate student performance with low-latency feedback under concurrent user sessions.
The Architectural Solution
- Knowledge Graph Ingestion: Ingests complex multi-tiered curricula into structured topic nodes with prerequisite relationship mapping.
- Sub-Second Quiz Synthesis: Implements cached question banks combined with LLM-assisted verification to prevent factual drift and ambiguity.
- Optimized Edge Delivery: Next.js SSR interface served on edge networks with aggressive client caching for responsive mobile performance across diverse network bandwidths.
Impact
Pariksha represents AEIGS's capability to architect end-to-end data pipelines, full-stack web applications, and intelligent pedagogical platforms.
ENGINEERING PARTNERSHIP
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