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resume-matching

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Resume Analyzer is a prototype web application that allows users to upload multiple resumes and compare them against a job description using vectorization and cosine similarity. The project is built using Python, Flask, and scikit-learn.

  • Updated Jul 24, 2026
  • HTML

A Resume Screening System that applies Natural Language Processing (NLP) techniques to extract and compare skills from resumes against job descriptions. It uses methods like TF-IDF and BERT embeddings for similarity matching, and provides an interactive interface built with Streamlit and deployed on Hugging Face Spaces.

  • Updated Sep 1, 2025
  • Jupyter Notebook
Interview_Thread_AI

Open-source, evidence-grounded AI mock interview coach. Turn a real resume and job post into defensible stories and role-specific practice. Beta testers welcome.

  • Updated Sep 1, 2026
  • TypeScript

AI-Powered Developer Search helps find top developers by skills, experience, and location using a MongoDB database. It utilizes GPT-4 for query refinement and cosine similarity for matching. AI-Powered Resume Search quickly finds matching resumes with vector embeddings and FAISS, optimizing candidate selection.

  • Updated Nov 14, 2024
  • Python

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