AI-based CO-wise mark splitter with Excel export for assessments.
Reason this release was yanked:
dependency 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
Project details
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