Smart MCQ Solver Challenge
This repository contains the machine learning pipeline and model solution for the Smart MCQ Solver Challenge.
Models Included
- Model 1 (Scratch): GBDT trained on TF-IDF lexical features
- Model 2 (Pretrained):
google/flan-t5-large (770M) zero-shot token probability ranker
- Model 3 (Ensemble): Soft-voting blend of
google/flan-t5-large and sentence-transformers/all-MiniLM-L6-v2 (22M)
Usage
Run app.py or smart_mcq_solver_complete.ipynb to execute predictions.
