##Step-by-Step Guide
- Setting Up the Environment Definition: Environment setup involves creating an isolated Python environment and installing necessary dependencies to ensure project consistency and reproducibility.
###Detailed Explanation:
A virtual environment is a self-contained directory that contains a Python installation for a particular version of Python, plus a number of additional packages. Using a virtual environment allows you to manage project-specific dependencies, regardless of what dependencies every other project has.
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt-python3 -m venv venv: This command creates a new virtual environment named "venv" in the current directory. -source venv/bin/activate: This activates the virtual environment. On Windows, use venv\Scripts\activate. -pip install -r requirements.txt: This installs all the Python packages listed in the requirements.txt file.
#The requirements.txt file should include all necessary libraries, such as:
-PyMuPDF==1.19.0
-nltk==3.6.2
-spacy==3.1.0
-scikit-learn==0.24.2
-pandas==1.3.0
-matplotlib==3.4.2
-seaborn==0.11.1##Summary of Project Components -Project Structure: A well-organized directory layout for data, code, and documentation.
-Environment Setup: Instructions for creating a virtual environment and installing dependencies.
-Data Extraction: Techniques for extracting text from PDF resumes using libraries like PyMuPDF.
-Data Preprocessing: NLP methods such as tokenization, stopword removal, and lemmatization using spaCy and NLTK.
-Exploratory Data Analysis (EDA): Visualizations of data distribution, word frequencies, and text length using matplotlib and seaborn.
-Feature Extraction: Conversion of text data to numerical features using TF-IDF vectorization.
-Model Training: Implementation of multiple classification algorithms (Naive Bayes, SVM, Random Forest) using scikit-learn.
-Visualization: Advanced visualizations for model evaluation, including confusion matrices, ROC curves, and feature importance plots.