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1. Global-Health-Trends-Extraction Global-Health-Trends-Extraction Public

   End-to-end NLP analysis of 41,000 COVID-19 tweets using VADER, spaCy, and YAKE

   Jupyter Notebook

2. rag-pdf-qa rag-pdf-qa Public

   RAG-based PDF Q&A system. Upload any PDF, ask questions, get answers grounded in the document. Built with LangChain, FAISS, BGE embeddings, Groq (LLaMA 3.3 70B), and Streamlit.

   Python

3. Multi-Step-Regression-Classification-for-Employee-Attrition-Salary-Estimation Multi-Step-Regression-Classification-for-Employee-Attrition-Salary-Estimation Public

   Multi-step ML pipeline for employee attrition prediction and salary loss estimation using IBM HR dataset

   Python