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📥 AI BASED RESUME REVIEWER 📤

A Tool for Resume Analysis, Predictions and Recommendations

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. Transforming all resume data into a structured tabular format and CSV enables organizations to utilize the information for analytical purposes.

ii. Users can enhance their resumes by receiving recommendations, predictions, and an overall score through our tool, allowing for continuous testing and improvement.

iii. The user section's enhanced features can contribute to increased traffic on our tool.

iv. Colleges can utilize the tool to gain insights into students' resumes before placements.

v. Obtain analytics on the roles most sought after by users.

vi. Continuous improvement of the tool is facilitated through user feedback.

Tech Stack 📱

Frontend

• Streamlit
• HTML
• CSS
• JavaScript

Backend

• Streamlit
• Python

Modules

• pandas
• pyresparser
• pdfminer3
• Plotly
• NLTK

Database

• MySQL

Features 🔎

Client-Side: -

• Utilizing Parsing Techniques to Retrieve Location and Miscellaneous Data
  • Extracting Basic Info, Skills, and Keywords

Employing logical programs to provide recommendations on:

• Additional skills
• Predicted job role
• Relevant courses and certificates
• Resume tips and ideas
• Overall Score
• Access to Interview & Resume tip videos

Admin-Side: -

• Aggregating all applicant data in a tabular format

• Downloading user data in CSV format

• Viewing all saved uploaded PDFs in the Uploaded Resume folder

• Collecting user feedback and ratings

  Generating Pie Charts for: -

• Ratings

• Predicted fields/roles

• Experience levels

• Resume scores

• User counts

• City, State, and Country breakdown

Feedback System: -

• Easy-to-fill forms
• Rating scale from 1 to 5
• Displaying an overall ratings pie chart
• Providing a history of past user comments

Requirements 🔐

Ensure a Smooth Process by Installing the Following:

1. Python: Download Python
2. MySQL: Download MySQL
3. Visual Studio Code (Preferred Code Editor): Download VS Code
4. Visual Studio Build Tools for C++: Download VS Build Tools

Setup & Installation 👀

To run this project, perform the following tasks 😨

Download the code file manually or via git

git clone https://github.com/1e9abhi1e10/AI-Based-Resume-Reviewer.git

Create a virtual environment and activate it (recommended)

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

python -m venv venvapp

cd venvapp/Scripts

activate

Downloading packages from requirements.txt inside App folder

cd../..

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 LINK

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

And replace the resume_parser.py with resume_parser.py

which I supplied within the pyresparser folder.

Congratulations 🎉😱, your setup 👆 and installation are complete 😵🤯

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

Run the App.py file using

streamlit run App.py

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-Reviewer