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https://github.com/deepakpadhi986/ai-resume-analyzer
Ai Resume Analyzer is 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 based on keyword matching.
https://github.com/deepakpadhi986/ai-resume-analyzer
ai-resume-analyser ai-resume-analyzer ai-resume-analyzer-github dnoobnerd final-project final-year-college-poject final-year-project final-year-project-idea final-year-projects mysql-database python3 resume-analyser resume-analyses resume-analysis streamlit
Last synced: 8 days ago
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Ai Resume Analyzer is 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 based on keyword matching.
- Host: GitHub
- URL: https://github.com/deepakpadhi986/ai-resume-analyzer
- Owner: deepakpadhi986
- License: mit
- Created: 2022-09-26T12:05:20.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-09T12:52:42.000Z (8 months ago)
- Last Synced: 2024-10-10T09:23:12.471Z (about 1 month ago)
- Topics: ai-resume-analyser, ai-resume-analyzer, ai-resume-analyzer-github, dnoobnerd, final-project, final-year-college-poject, final-year-project, final-year-project-idea, final-year-projects, mysql-database, python3, resume-analyser, resume-analyses, resume-analysis, streamlit
- Language: Python
- Homepage:
- Size: 3.71 MB
- Stars: 329
- Watchers: 3
- Forks: 92
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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🌴 AI RESUME ANALYZER 🌴
A Tool for Resume Analysis, Predictions and Recommendations
View Demo
·
Installation
·
Project Report
Built with 🤍 by
Deepak Padhi through
Dr Bright --(Data Scientist)
🚀 A Project Submitted for the partial fulfilment of the degree B.sc CS at
Kirti College during academic year 2022-23
## 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 (3.9.12) https://www.python.org/downloads/release/python-3912/
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
```bash
git clone https://github.com/deepakpadhi986/AI-Resume-Analyzer.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
```bash
python -m venv venvapp
cd venvapp/Scripts
activate
```
Downloading packages from ```requirements.txt``` inside ``App`` folder
```bash
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```
https://github.com/deepakpadhi986/AI-Resume-Analyzer/blob/17e1cdb207fef62557dc394f4158bda515e541fd/App/App.py#L95
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 😵🤯``
I hope that your ``venvapp`` is activated and working directory is inside ``App``
Run the ```App.py``` file using
```bash
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 🤧
Check-out installation [Video](https://youtu.be/WFruijLC1Nc)
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 🛵
* [x] Predict user experience level.
* [x] Add resume scoring criteria for skills and projects.
* [x] Added fields and recommendations for web, android, ios, data science.
* [ ] Add more fields for other roles, and its recommendations respectively.
* [x] Fetch more details from users resume.
* [ ] View individual user details.
## Contributing 🤘
Pull requests are welcome.
For major changes, please open an issue first to discuss what you would like to change.
I've attached the synopsis of the project
If you want the full report of project
Email Me ``it's FREE``
## Acknowledgement 🤗
- Dr Bright - (The Full Stack Data Scientist BootCamp)
- Resume Parser with Natural Language Processing
- pyresparser
## Preview 👽
### Client Side
**Main Screen**
**Resume Analysis**
**Skill Recommendation**
**Course Recommendation**
**Tips and Overall Score**
**Video Recommendation**
### Feedback
**Feedback Form**
**Overall Rating Analysis and Comment History**
### Admin
**Login**
**User Count and it's data**
**Exported csv file**
**Feedback Data**
**Pie Chart Analytical Representation of clusters**
### Built with 🤍 AI RESUME ANALYZER by Deepak Padhi