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AlinaBaber / repository
This project is a Django-based web application that focuses on resume analysis and scoring using advanced Natural Language Processing (NLP) techniques and machine learning models, including LSTM-based classification.
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This project is a Django-based web application that focuses on resume analysis and scoring using advanced Natural Language Processing (NLP) techniques and machine learning models, including LSTM-based classification. The web application allows users to upload resumes, which are then analyzed and scored based on their relevance to job descriptions.
In the competitive job market, ensuring that a resume stands out is crucial. This web application automates the process of resume screening by leveraging NLP and machine learning techniques. It analyzes the content of resumes, compares them against job descriptions, and assigns a relevance score. The core of the application is built using Django, with backend processing powered by NLP and LSTM-based models.
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Wasim-Afreeth-Z /
In this project we develop a web application Online Job Portal is a job posting site developed in Django. Where Employer can Register their Company profile, Login Then add JobPost. Job Seeker can bookmark & apply for the Job......
57/100 healthThe application uses NLP techniques to parse and analyze the text in resumes. Key steps include:
The core of the resume analysis lies in the LSTM model, which is used to classify resumes based on their relevance to job descriptions. The model is trained on a dataset of resumes and job descriptions, learning patterns that indicate a good match. The scoring system then ranks resumes based on their predicted relevance.
To get started with the project:
git clone https://github.com/yourusername/Job-Portal-Django-WebApp-Resume-Analysis-Scoring-NLP-ML.git
cd Job-Portal-Django-WebApp-Resume-Analysis-Scoring-NLP-ML
python -m venv env
source env/bin/activate # On Windows, use `env\Scripts\activate`
pip install -r requirements.txt
python manage.py migrate
python manage.py runserver