This repository documents the end-to-end process used to scope, retrieve, and clean a corpus for a PhD literature review on deepfake detection with a focus on facial content. It includes the exact query sets, per-database exports, and the de-duplication workflow that produces the final screening list.

Tutorial for Analysing and writing the review

This project implements retrieval-augmented NLP pipelines, multi-agent orchestration (including CrewAI integrations), embeddings-based semantic search, and tools for cross-publication literature analysis and insight extraction

Tool for literature based discovery and research field analysis.

This project provides NLP pipelines for cross-publication literature analysis: embedding-based semantic search, retrieval-augmented QA/summarization, and tools to extract insights across academic publications

My M.A.Sc. thesis: Putting Software Testing Terminology to the Test

📊 Analyze 20k+ PubMed abstracts on intestinal organoids using NLP to reveal key research themes and trends over time.