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Transforming traditional resume parsing with advanced Natural Language Processing (NLP), our Resume Analyzer code efficiently extracts, clusters, and analyzes keywords, enabling sector-based categorization and personalized recommendations. Elevate recruitment strategies and empower career development.

Python 100.00%
machine-learning machine-learning-algorithms mysq nlp resume resumebuilder streamlit xampp

resume-analyzer-using-nlp's Introduction

🌴 AI RESUME ANALYZER 🌴

A Tool for Resume Analysis, Predictions and Recommendations

Built with 🀍 by Deepthi



About the Project πŸ₯±


screenshot

A tool which parses information from a resume using natural language processing and finds the keywords, cluster them onto sectors based on their keywords. And lastly show recommendations, predictions, analytics to the applicant / recruiter based on keyword matching.

Scope 😲

i. It can be used for getting all the resume data into a structured tabular format and csv as well, so that the organization can use those data for analytics purposes

ii. By providing recommendations, predictions and overall score user can improve their resume and can keep on testing it on our tool

iii. And it can increase more traffic to our tool because of user section

iv. It can be used by colleges to get insight of students and their resume before placements

v. Also, to get analytics for roles which users are mostly looking for

vi. To improve this tool by getting feedbacks

Tech Stack 🍻

Frontend
Backend
Database
Modules

Features πŸ€¦β€β™‚οΈ

Client: -

  • Fetching Location and Miscellaneous Data

    Using Parsing Techniques to fetch

  • Basic Info

  • Skills

  • Keywords

Using logical programs, it will recommend

  • Skills that can be added
  • Predicted job role
  • Course and certificates
  • Resume tips and ideas
  • Overall Score
  • Interview & Resume tip videos

Admin: -

  • Get all applicant’s data into tabular format

  • Download user’s data into csv file

  • View all saved uploaded pdf in Uploaded Resume folder

  • Get user feedback and ratings

    Pie Charts for: -

  • Ratings

  • Predicted field / roles

  • Experience level

  • Resume score

  • User count

  • City

  • State

  • Country

Feedback: -

  • Form filling
  • Rating from 1 – 5
  • Show overall ratings pie chart
  • Past user comments history

Requirements πŸ˜…

Have these things installed to make your process smooth

  1. Python https://www.python.org/downloads/
  2. MySQL https://www.mysql.com/downloads/
  3. Visual Studio Code (Prefered Code Editor) https://code.visualstudio.com/Download
  4. Visual Studio build tools for C++ https://aka.ms/vs/17/release/vs_BuildTools.exe

Roadmap πŸ›΅

  • Predict user experience level.
  • Add resume scoring criteria for skills and projects.
  • Added fields and recommendations for web, android, ios, data science.
  • Add more fields for other roles, and its recommendations respectively.
  • Fetch more details from users resume.
  • View individual user details.

Main Screen Main Screen

Built with 🀍 AI RESUME ANALYZER by DEEPTHI

resume-analyzer-using-nlp's People

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