The ParikshAI Platform
Deep learning meets academic rigor. Our proprietary AI models are trained exclusively on university-level examinations to provide human-level accuracy at machine speed.
Q : 3
a) Initial Value Theorem.
By Initial Value Theorem :
Given: F(s) = (2s + 1) / s(s + 2)
∴ lim s · F(s)
= lim s(2s+1) / s(s+2)
= lim (2s+1) / (s+2)
= 2✓
Student correctly states the Initial Value Theorem and applies it to F(s) = (2s+1)/s(s+2). Limit computation and final value of 2 are accurate. Minor deduction for missing intermediate step notation.
Network Theory · Semester Final
Digitize your exact grading standards.
The engine doesn't just look for keywords. It understands context, derivations, and methodology. Translate your paper rubrics into a cognitive framework that the AI uses to evaluate students exactly how a human professor would.
- Support for multi-part questions
- Granular weighting by criteria
- Custom negative marking rules
Process 100,000 pages per hour.
Our AI engine is built for the intensity of final exam seasons. It ingests thousands of handwritten scripts, extracts the text using state-of-the-art OCR, and applies your rubric simultaneously across the entire batch.
- 99.1% handwriting recognition accuracy
- Under 2 seconds processing time per page
- Identifies low-confidence anomalies instantly
Q3. Two-Port Networks
"Z-parameters of the network: V₁ = Z₁₁I₁ + Z₁₂I₂. At port 1, I₂ = 0 ∴ Z₁₁ = V₁/I₁ = 10 Ω. By reciprocity Z₁₂ = Z₂₁ = 5 Ω..."
You retain ultimate control.
The AI does the heavy lifting, but human evaluators maintain full authority. Any script that falls below the 98% confidence threshold is immediately flagged and routed to a human for manual review.
- One-click overrides
- Transparent audit trails for every mark
- Beautiful review interface for professors
Built for the scale of Indian university examinations
ParikshAI is not a generic AI tool adapted for education. Every component — OCR engine, rubric evaluator, confidence scorer, and human review portal — is purpose-built for university-level written examinations in India.
Rubrics Studio — No-code grading criteria
Subject faculty define marking criteria, weightings, and model answers without any technical help. The Rubrics Studio translates paper marking schemes into a cognitive framework the AI uses to evaluate students exactly as a human professor would — including partial credit, alternative correct answers, and methodology-based marks.
AI Batch Engine — 100,000 pages per hour
ParikshAI's OCR engine achieves 99.1% accuracy on Indian university handwriting across English, Hindi, and regional scripts. The batch engine processes entire exam sets simultaneously — not sequentially — and assigns a confidence score to every answer. Uncertain answers are automatically held for human review.
Evaluator Portal — Human-in-the-loop
No grade is published without human approval. The Evaluator Portal surfaces only the scripts that need attention — typically 15–20% of a batch — with the original scan, AI score, and rubric side by side. Evaluators can override, approve, or send scripts back for re-evaluation. Every action is logged with a timestamp and evaluator ID.
Admin Dashboard — Full batch visibility
The administrator dashboard gives COE heads and examination controllers a live view of every active batch: scripts processed, scripts pending review, confidence distribution, and estimated completion time. Results can be locked and published by department once human review is complete.
Security and Data Residency
All student data is encrypted in transit using TLS 1.3 and at rest using AES-256. Data is stored exclusively on AWS infrastructure in the Mumbai (ap-south-1) region — no student data leaves India. ParikshAI operates as a data processor under the DPDP Act 2023 and provides a signed Data Processing Agreement to every institution partner.
LMS and ERP Integrations
ParikshAI connects to Moodle, Canvas, Blackboard Ultra, TCS iON, and Mettl via LTI 1.3, REST API, and webhooks. Grades write back directly to your gradebook. For proprietary SIS or ERP systems, our engineering team builds bespoke connectors — most integrations are live within four weeks.
Frequently Asked Questions
What is ParikshAI and how does it work?+
How accurate is the AI grading? Is it human-verified?+
How long does it take to evaluate 10,000 answer sheets?+
Is student answer data stored securely? Who owns it?+
What happens when the AI is unsure? How are disputes handled?+
Does it work with our existing scanning infrastructure?+
Is ParikshAI compliant with UGC and AICTE guidelines?+
How do we set up rubrics? Do we need technical staff?+
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Trusted by universities across Gujarat, Maharashtra, and Rajasthan.