LLM Response Quality Classifier
Architected a scalable NLP pipeline designed to audit GenAI content by distinguishing factual information from misinformation. Leveraging DeBERTa Transformers for contextual embeddings and XGBoost for classification, this solution achieved 91% accuracy and was recognized as a Region-winning solution in the Data4Good challenge.


