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langchain-groq

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The application makes a processes a resume (from a PDF) and a job posting (scraped via WebBaseLoader) to extract structured JSON data using langchain-groq. It employs NLP techniques (nltk, scikit-learn) to preprocess text and calculate an ATS compatibility score (36.28%) via cosine similarity, indicating a moderate resume-job match.

  • Updated Jun 7, 2025
  • Jupyter Notebook

This project implements a Retrieval-Augmented Generation (RAG) chatbot that can answer medical questions—especially focused on Anatomy and Forensics—based on uploaded PDF documents. It uses Hugging Face models for embedding and language generation, FAISS for vector storage, and a simple Streamlit frontend for an interactive chat interface.

  • Updated Dec 9, 2025
  • JavaScript

AI-powered customer feedback analyzer that uses generative AI to transform customer reviews into actionable business insights. Upload review data, get instant summaries, satisfaction scores, detailed reports, and improvement suggestions—all in an easy-to-deploy Docker container.

  • Updated Oct 15, 2025
  • HTML

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