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Metrilex - AI Adaptive Examination Platform
Web Application Completed: July 2026 • Role: Full Stack AI Developer

Metrilex - AI Adaptive Examination Platform

Cognitive testing system evaluating beginner, intermediate, and professional mastery tiers using Gemini & Groq LLM APIs.

Launch Live Website View Source Code
Python Flask Gemini API Groq AI Chart.js SQLite HTML5 CSS3

Measurable Impact & Key Results

3 Levels
Cognitive Tiers
< 1 sec
Feedback Time
100% Real-Time
Chart Accuracy

Project Overview

Metrilex is an AI-powered cognitive assessment and adaptive examination platform. It evaluates student performance across beginner (foundational), intermediate (conceptual), and professional (lateral thinking) difficulty tiers, generating diagnostic feedback powered by Gemini & Groq AI models.

The Challenge & Pain Points

Traditional examination software treated all test-takers with static questions, failing to identify whether a student struggled with basic fundamentals vs complex application.

The Technical Solution

Architected a Flask & Python adaptive question generator leveraging Groq & Gemini APIs to dynamically assess knowledge depth and generate personalized feedback reports with interactive radar charts.

Key Features & Deliverables

  • Adaptive Question Generation Agent powered by Groq & Gemini LLM APIs.
  • 3-Tier Cognitive Assessment evaluating Foundational, Conceptual, and Lateral Thinking proficiency.
  • Interactive Chart.js radar & bar chart visualizers for skill mastery mapping.
  • Automated email progress report dispatcher delivering PDF grade transcripts.
  • Admin control panel with dynamic Groq & Gemini API key management.

Project Info

Client / Company
Academic Assessment Institute
Category
Web Application
Role
Full Stack AI Developer
Completion Date
July 2026
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