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Product Updates
April 14, 2026
2 min read

Introducing ExisraPredict: AI-Driven Exam Readiness for JAMB & WAEC

We're launching a new AI model that predicts your exact exam score with 94% accuracy based on your voice tutor sessions and mock results.

Chukwuemeka Peters
Introducing ExisraPredict: AI-Driven Exam Readiness for JAMB & WAEC

For millions of students across West Africa, the difference between admission and another year at home often comes down to just a few marks in highly competitive exams like JAMB and WAEC. Today, we're fundamentally shifting how students prepare by introducing ExisraPredict.

The Problem with Traditional Mocks

Until now, measuring your readiness for an examination meant taking a full-length, 3-hour mock test. These mocks are exhausting, infrequent, and worst of all, they only measure your performance at a single frozen point in time.

We realized that through our Voice AI tutor sessions, we were already collecting thousands of micro-data points about a student's cognitive state. Every time a student answered a conversational question or struggled to explain a physics formula to the AI, we were quietly measuring their actual grasp of the syllabus.

"The future of examination prep isn't testing you more often—it's testing you invisibly while you learn."

How ExisraPredict Works

Our engineering team spent the last 8 months training a specialized predictive model on historical performance data. Here is the core loop:

  • Voice Interactions: You converse with the AI tutor as usual.
  • Cognitive Mapping: The system maps your responses against the 450+ topics in the JAMB syllabus.
  • Confidence Scoring: Your hesitations, corrections, and successful explanations are scored.
  • Real-time Emulation: The engine simulates how you would perform if the exam were taken today.

Available Today

ExisraPredict is rolling out to all users on the Exam Pro and Reskiller plans starting today. Just keep talking to your AI tutor, and your personalized readiness dashboard will update constantly.

#AI#JAMB#Machine Learning#Feature Launch
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