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resume-analyzer

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Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.

  • Updated Mar 8, 2025
  • Jupyter Notebook

📄 Smart Resume AI is a powerful tool designed to revolutionize your job application process. With features like 📚 professional template building, 🔍 ATS-friendly analysis, and 🎯 AI-driven optimization, it ensures your resume stands out to recruiters. Smart Resume AI provides everything you need to craft a tailored, eye-catching resume. 🚀

  • Updated Apr 11, 2025
  • C

The AI Resume Analyzer is a powerful tool that leverages Hugging Face’s dslim/bert-base-NER model to extract key details like skills, certifications, and organizations from resumes. It supports PDF and text files, processes data in real-time, and presents structured, easy-to-review insights for job seekers and recruiters.

  • Updated Dec 5, 2024
  • JavaScript

Smart Resume AI is an advanced tool designed to enhance your job application process. 🚀 Featuring professional template creation 📚, ATS-friendly analysis 🔍, and AI-powered optimization 🎯, it helps craft resumes that grab recruiters' attention. Stand out with a tailored and impactful resume effortlessly!

  • Updated Apr 4, 2025
  • Python

📄 Smart Resume AI is a powerful tool designed to revolutionize your job application process. With features like 📚 professional template building, 🔍 ATS-friendly analysis, and 🎯 AI-driven optimization, it ensures your resume stands out to recruiters. Smart Resume AI provides everything you need to craft a tailored, eye-catching resume. 🚀

  • Updated Mar 5, 2025
  • Python

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 Apr 12, 2025
  • HTML

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