The automated evaluation engine that decodes how students articulate knowledge — generating institutional evidence with zero manual effort and sub-50ms latency.
The Core Engine
Unlike traditional MCQ tests, CREDO's AI Assessment analyzes how a student articulates domain knowledge — evaluating structure, clarity, and technical relevance in real-time using Bloom's Taxonomy adaptive logic.
Real-time processing across 6 readiness parameters (Tech, Solve, Comm, Integrity, Learning, Behavior)
Immediate mapping against institutional and industry benchmarks — every session generates NAAC-ready evidence.
PRI scores are IP-logged and timestamped — creating tamper-proof audit evidence for IQAC and accreditation bodies.
Interactive Showcase
Select a scenario below to see the AI Assessment decode qualitative articulation into quantitative institutional data in real-time.
Readiness Constitution
Mapping student performance to the specific weights used by the AI Assessment evaluation brain — each parameter generates weighted evidence for the PRI score.
Domain depth and articulation of core principles. Evaluated against Bloom's Taxonomy levels 3–6.
Problem-solving speed and logical reasoning under timed conditions with adaptive difficulty.
Articulation clarity, response structure, and technical language coherence.
Assessment conduct, proctoring compliance, and response authenticity signals.
Speed of concept adoption and cross-domain application within the session.
Professionalism signals, engagement patterns, and collaborative response indicators.
The Result
Every assessment conducted in the lab is IP-logged, verified, and mapped to NAAC requirements — giving your institution a permanent, tamper-proof record of quality.