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ExamAnalyticsAI.

Academic health scoring, diagnostic assessment engine, and automated early-warning alerts for CBSE Class 11–12 PCM.

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Platform
ExamAnalyticsAI
Engagement
Active · Platform
Period
2025 — Present
Sector
Ed-Tech / AI Analytics

About ExamAnalyticsAI

CBSE Physics, Chemistry, and Mathematics (PCM) students face intense pressure where small concept gaps compound into catastrophic exam setbacks. Traditional tests only report marks after the damage is done. ExamAnalyticsAI turns performance data into predictive academic health metrics.

The platform diagnoses root misconceptions down to sub-topic granularity, generating early warning alerts for parents and targeted 1-click remediation tests for educators.

Key Features & Modules

  • Academic Health Score: A multi-factor algorithmic index evaluating concept retention, speed, error distribution, and test discipline.
  • Early Warning Alerts for Parents: Automated notifications highlighting specific decay in chapter comprehension before term examinations.
  • Multi-Stakeholder Workspaces: Tailored dashboards for Students (practice & analysis), Parents (progress tracking), Teachers (batch analytics), and School Admins.
  • Dynamic Assessment Engine: 1-click diagnostic tests mapped to CBSE curriculum weightage, NCERT alignment, and competitive edge questions.
  • Weakness Fingerprinting: Pinpointing whether errors stem from conceptual misunderstanding, calculation slips, or time depletion.

Engineering & Data Pipeline

Built on a Python analytics core, the platform processes student question-level telemetry in real-time. Automated reporting microservices generate structured diagnostic summaries and trend charts instantly upon test submission.

Tech Stack

Python AI/ML Analytics Assessment Engine PostgreSQL CBSE PCM Curricula Reporting Microservices

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