AI-Resume-Analyzer Final Year 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. This blog post is about AI-Resume-Analyzer Final Year Project, will share you objective some features and the link to the code.

Objectives of the Project:

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

And it can increase more traffic to our tool because of user section
It can be used by colleges to get insight of students and their resume before placements
Also, to get analytics for roles which users are mostly looking for

To improve this tool by getting feedbacks

Technologies Used:

Frontend

Streamlit

HTML
CSS
JavaScript

Backend

Streamlit
Python

Database

MySQL

Modules

pandas
pyresparser
pdfminer3

Plotly
NLTK

AI-Resume-Analyzer Final Year Project 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

Setup & Installation 👀

To run this project, perform the following tasks 😨

1. Download the code file from the link below:

Download Project Source Code

2. 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. Also check Internet Chicks blog

python -m venv venvapp

cd venvapp/Scripts

activate

3. Downloading packages from requirements.txt inside App folder

cd../..

cd App

pip install -r requirements.txt

python -m spacy download en_core_web_sm

4.After installation is finished create a Database cv And change user credentials inside App.py

connection = pymysql.connect(host='localhost',user='root',password='root@MySQL4admin',db='cv')

4. 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

Congratulations 🥳😱 your set-up 👆 and installation is finished 😵🤯

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