Case Study
Revive AI
Learning & Mock Testing
Revive AI redefines test preparation for standardized examinations. By leveraging OpenAI models paired with semantic embeddings and adaptive item-response theory, the platform simulates real exam conditions, analyzes conceptual weaknesses, and generates tailored practice questions in real time.
Client: Revive EdTech Ventures
Timeline: 5 Months
Our Role: AI Model Fine-Tuning & Web Platform
The Engineering Challenges
Obstacles Solved During Development
Ensuring AI-generated exam questions maintained rigorous academic accuracy without hallucinations.
Delivering sub-second latency when evaluating long-form student essays with rubric-based feedback.
Managing complex state across timed, multi-section mock exams with automatic progress recovery.
The Architecture & Solution
How Infyle Delivered Results
Implemented a multi-stage validation prompt pipeline with strict schema enforcement and fact-checking agents.
Designed a streaming Next.js App Router front-end with server components and edge computing for ultra-fast evaluations.
Stored question banks with pgvector in PostgreSQL for instant semantic similarity indexing.
Technologies Utilized
Core libraries, frameworks, and cloud infrastructure employed in Revive AI.
Next.jsTypeScriptPostgreSQLOpenAI APIpgvectorTailwind CSS
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contact@infyle.com
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Silicon Valley • Bangalore • London
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