SPPU Bulk Result Analyzer

The Problem & Opportunity

Faculty members spent dozens of manual hours hand-calculating class pointers, toppers, and pass/fail distributions from massive university PDF result ledgers.

The Solution & Engineering

Created an automated analytical engine that ingests bulk university PDF ledgers, extracts student marks, computes pointers, identifies toppers, and visualizes grade distributions.

Key Highlights & Results

• Parses multi-megabyte university result PDFs in seconds using PyPDF and client-side pdf.js
• Automated topper extraction, pass/fail segregation, and average SGPA distribution charts
• Instant one-click tabular data export to Microsoft Excel for institutional reporting