Sharveswar MadasamyAI & Full Stack
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MVS Analysis

TLP Result Parsing Engine

Project Overview

MVS Analysis is a robust backend utility built with FastAPI that automates the tedious process of analyzing SRM TLP result PDFs. The engine extracts massive amounts of raw grading and attendance data, applies complex aggregations (teacher-wise, Faculty Advisor, and multi-subject), and outputs structured, chart-ready Excel reports instantly.

Key Features

  • Automated parsing of complex academic PDF reports.
  • Teacher-wise and Faculty Advisor data aggregation.
  • Automated extraction of low-attendance student records.
  • Dynamic generation of structured Excel reports with charts.
  • High-speed FastAPI backend architecture.

Technologies Used

PythonFastAPIPandasPyPDF2OpenPyXL