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AI-based CO-wise mark splitter with Excel export for assessments.

Reason this release was yanked:

installation dependencies error

Project description

AI Splitter

AI Spliiter By Sathish Ramanujam – (https://professor-sathish.github.io/)

ai-splitter is a Python package and Streamlit app that automatically splits a student’s total marks into question-wise and CO-wise marks, and exports a fully formatted Excel CO Evaluation Sheet.

It is designed for faculty, CO coordinators, and exam cell members who handle outcome-based assessments (OBA).


Features

  • 🎯 Supports multiple regulations .
  • 🧮 Built-in assessment patterns (IA1, IA2, Model, Lab, Project).
  • ⚙️ Custom assessment mode (CUS) – define your own question pattern.
  • 📊 Generates a completely formatted Excel sheet ready to submit:
    • Question-wise marks
    • CO-wise totals
    • Grand total per student
    • Colored headers, borders, and “Verified & Approved By” row
  • 🧠 Randomized mark split logic:
    • Normal mode: “band” logic (weak/average/good/excellent)
    • Custom mode: strict sum + per-question max validation
  • 🖥️ Streamlit UI for non-programmers.

Installation

Once published on PyPI you’ll be able to do:

pip install ai-splitter

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