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This is web application for the Resume Analyser.

Python 100.00%

resume-analysis cv-parser streamlit resume-analyser

smart_resume_analyser_app's Introduction

Smart Resume Analyser App

Watch Tutorial for this project

Get the project Report, PPT, and Diagrams

Source

Extracting user's information from the Resume, I used PyResparser
Extracting Resume PDF into Text, I used PDFMiner.

Features

User's & Admin Section
Resume Score
Career Recommendations
Resume writing Tips suggestions
Courses Recommendations
Skills Recommendations
Youtube video recommendations

Usage

Clone my repository.
Open CMD in working directory.
Run following command.
```
pip install -r requirements.txt
```
App.py is the main Python file of Streamlit Web-Application.
Courses.py is the Python file that contains courses and youtube video links.
Download XAMP or any other control panel, and turn on the Apache & SQL service.
To run app, write following command in CMD. or use any IDE.
```
streamlit run App.py
```
Uploaded_Resumes folder is contaning the user's uploaded resumes.
Classifier.py is the main file which is containing a KNN Algorithm.
For more explanation of this project see the tutorial on Machine Learning Hub YouTube channel.
Admin side credentials is machine_learning_hub and password is mlhub123.

Screenshots

User side

Admin Side

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smart_resume_analyser_app's People

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swarnavo09 prajwalchandak1 arnavmohite eren0yeager pradeepch2107 pawannane rpanjiyar chinmayr7 aman-verma-28 mits-ds sourav-kumar-khan zeeshan138063 singh-ravindra yukey1874 giltz254 ayushbhardwaj321 yashaswiyashu codeperl ria-r bagasariyanto05 pablomarcel linux-sdk shubhamtingare granamyrbr skon7 devisyam sanskruti-kshire monishkumar74 soumyonathtripathy merhasmukh galanhao asifali200 ujjwal55 shreeja555 carolinedfrasca soorepalli abhishekcs3459 codered1989 pratik9315 ecrespo karthik-virat t81oub kedarawale waidehigautam narikenabilli nirunnu1 admouchene ashikmostofatonmoy samuel2910 mohamedkhaled00 knr1997 vuongvmu heshan19 suacalis sasamelek akshaya101 rakib06 shambhaviijhaa danieloemenike ishaanrajmishra sam-banankhu salmankhanpm devbox10 saiphanikumar235 sk331999 eljayosint biswajit2211 lara311 jayaf4u avithetechy vidit-singh priyankasoni2004 the-professor-alfred-hetsron shreyalodha adam1968code49 spham akii12 melanee-melanee techabhisheksaxena dheeraj9900 ayushbhardwaj261 rj-data-science fahimfba bhanuteja199 gitsuren rithikha07 vandanaprabhu7 betahalogen007 pragati-deshmukh011 ahmedthahir prerna1126-svg anisha1910git adityanarayanmohanty sujaydeytmsl satya-naraharisetty rajaneha av2262 narendrapsgim yashk2277 kachiyash7315

smart_resume_analyser_app's Issues

Smart Resume Analyser

Please solve this issue as soon as possible.

OSError : Could not read meta.json from c:\drive path

file missing

Classifier.py file is missing could you please share that please !!

ConfigValidationError: Config validation error disabled field required tokenizer field required before_creation field required after_creation field required after_pipeline_creation field required batch_size field required {'lang': 'en', 'pipeline': ['tok2vec', 'tagger', 'parser', 'ner'], 'vectors': {'@vectors': 'spacy.Vectors.v1'}}

Even after adding the config file for pyreparser lib the interpreter is showing error message
C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy\util.py:918: UserWarning: [W094] Model 'en_training' (0.0.0) specifies an under-constrained spaCy vers
ion requirement: >=2.1.4. This can lead to compatibility problems with older versions, or as new spaCy versions are released, because the model may say it's compatible when it's not. Consider changing the "spacy_version" in your meta.json to a version range, with a lower and upper pin. For example: >=3.7.4,<3.8.0
warnings.warn(warn_msg)
2024-05-13 21:00:03.767 Uncaught app exception
Traceback (most recent call last):
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 600, in run_script
exec(code, module.dict)
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser\App.py", line 436, in
run()
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser\App.py", line 151, in run
resume_data = ResumeParser(save_image_path).get_extracted_data()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\pyresparser\resume_parser.py", line 21, in init
custom_nlp = spacy.load(os.path.dirname(os.path.abspath(file)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy_init.py", line 51, in load
return util.load_model(
^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy\util.py", line 467, in load_model
return load_model_from_path(Path(name), **kwargs) # type: ignore[arg-type]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy\util.py", line 539, in load_model_from_path
nlp = load_model_from_config(
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy\util.py", line 587, in load_model_from_config
nlp = lang_cls.from_config(
^^^^^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\spacy\language.py", line 1830, in from_config
resolved_nlp = registry.resolve(
^^^^^^^^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\confection_init_.py", line 759, in resolve
resolved, _ = cls.make(
^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\confection_init.py", line 808, in _make
filled, _, resolved = cls.fill(
^^^^^^^^^^
File "C:\B.Tech\Project 6th Sem\Smart Resume Analyser.venv\Lib\site-packages\confection_init.py", line 929, in _fill
raise ConfigValidationError(
confection.ConfigValidationError:

Config validation error
disabled field required
tokenizer field required
before_creation field required
after_creation field required
after_pipeline_creation field required
batch_size field required
{'lang': 'en', 'pipeline': ['tok2vec', 'tagger', 'parser', 'ner'], 'vectors': {'@vectors': 'spacy.Vectors.v1'}}

Configuration error

It will show ConfigValidationError: Config validation error disabled field required tokenizer field required before_creation field required after_creation field required after_pipeline_creation field required {'pipeline': ['tok2vec', 'tagger', 'parser', 'ner'], 'lang': 'en', 'batch_size': 1000}

How to solve this?

OSError: [E050] Can't find model 'en_core_web_sm'.

OSError: [E050] Can't find model 'en_core_web_sm'. It doesn't seem to be a Python package or a valid path to a data directory.

Pyresparser Issue

Hi There!

Spacy version is== 2.3.5 but which pyresparser version is compatible with it?

How to Solve >>> import nltk >>> nltk.download('stopwords') Issue

You can now view your Streamlit app in your browser.

Local URL: http://localhost:8501
Network URL: http://192.168.10.7:8501

2022-06-13 13:08:59.134 Uncaught app exception
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/corpus/util.py", line 84, in __load
root = nltk.data.find(f"{self.subdir}/{zip_name}")
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/data.py", line 583, in find
raise LookupError(resource_not_found)
LookupError:

Resource stopwords not found.
Please use the NLTK Downloader to obtain the resource:

import nltk
nltk.download('stopwords')

For more information see: https://www.nltk.org/data.html

Attempted to load corpora/stopwords.zip/stopwords/

Searched in:
- '/Users/apple-pentester/nltk_data'
- '/Library/Frameworks/Python.framework/Versions/3.8/nltk_data'
- '/Library/Frameworks/Python.framework/Versions/3.8/share/nltk_data'
- '/Library/Frameworks/Python.framework/Versions/3.8/lib/nltk_data'
- '/usr/share/nltk_data'
- '/usr/local/share/nltk_data'
- '/usr/lib/nltk_data'
- '/usr/local/lib/nltk_data'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/apple-pentester/Library/Python/3.8/lib/python/site-packages/streamlit/scriptrunner/script_runner.py", line 554, in _run_script
exec(code, module.dict)
File "/Users/apple-pentester/Desktop/CarParking/Smart_Resume_Analyser_App/App.py", line 5, in
from pyresparser import ResumeParser
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pyresparser/init.py", line 1, in
from . import utils
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pyresparser/utils.py", line 11, in
from . import constants as cs
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pyresparser/constants.py", line 25, in
STOPWORDS = set(stopwords.words('english'))
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/corpus/util.py", line 121, in getattr
self.__load()
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/corpus/util.py", line 86, in __load
raise e
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/corpus/util.py", line 81, in __load
root = nltk.data.find(f"{self.subdir}/{self.__name}")
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/data.py", line 583, in find
raise LookupError(resource_not_found)
LookupError:

Resource stopwords not found.
Please use the NLTK Downloader to obtain the resource:

import nltk
nltk.download('stopwords')

For more information see: https://www.nltk.org/data.html

Attempted to load corpora/stopwords

2022-06-13 13:09:02.105 Uncaught app exception
Traceback (most recent call last):
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/corpus/util.py", line 84, in __load
root = nltk.data.find(f"{self.subdir}/{zip_name}")
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/nltk/data.py", line 583, in find
raise LookupError(resource_not_found)
LookupError:

Resource stopwords not found.
Please use the NLTK Downloader to obtain the resource:

import nltk
nltk.download('stopwords')

For more information see: https://www.nltk.org/data.html

Attempted to load corpora/stopwords.zip/stopwords/

During handling of the above exception, another exception occurred:

Resource stopwords not found.
Please use the NLTK Downloader to obtain the resource:

import nltk
nltk.download('stopwords')

For more information see: https://www.nltk.org/data.html

Attempted to load corpora/stopwords

Sra

How to solve this problem

ValueError: [E1005] Unable to set attribute 'POS' in tokenizer exception for ' '. Tokenizer exceptions are only allowed to specify ORTH and NORM

Getting this error when resume file is uploded!.
ValueError: [E1005] Unable to set attribute 'POS' in tokenizer exception for ' '. Tokenizer exceptions are only allowed to specify ORTH and NORM.
can some one help me out.

Yhank You!