/Resume-Analysis

Primary LanguagePythonMIT LicenseMIT

AI-RESUME ANALYZER

last update

🌴 AI RESUME ANALYZER 🌴

A Tool for Resume Analysis, Predictions and Recommendations

open source



About the Project

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

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

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

Setup & Installation

To run this project, perform the following tasks

Download the code file manually or via git

git clone https://github.com/NidhiVig/Resume-Analysis.git

Create a virtual environment and activate it (recommended)

Open your command prompt and change your project directory to AI-Resume-Analyzer and run the following command

python -m venv test

test/Scripts/activate

Downloading packages from requirements.txt inside App folder

cd App

pip install -r requirements.txt

python -m spacy download en_core_web_sm

After installation is finished create a Database cv

And change user credentials inside App.py

connection = pymysql.connect(host='localhost',user='root',password='ramanujan45',db='cv')

Go to venvapp\Lib\site-packages\pyresparser folder

And replace the resume_parser.py with resume_parser.py

which was provided by me inside pyresparser folder

``Now your set-up and installation is finished.

I hope that your venvapp is activated and working directory is inside App

Run the App.py file using

streamlit run App.py

Known Error

If GeocoderUnavailable error comes up then just check your internet connection and network speed

Issue While Installation and Set-up

If you get any other errors google it and most probably you will find a solution.

Feel Free to Send mail

Usage

  • After the setup it will do stuff's automatically
  • You just need to upload a resume and see it's magic
  • Try first with my resume uploaded in Uploaded_Resumes folder
  • Admin userid is admin and password is admin@resume-analyzer

Roadmap

  • 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.

Acknowledgement