AI Resume Analyzer

Project Summery

📁 Folder Structure

• ai_resume_analyzer/
  • analyzer.py # The main script that runs the analysis.
  • requirements.txt # Lists all the Python libraries needed for the project.
  • job_description.txt # This is where you'll put the job description for comparison.
  • resumes/ # A dedicated folder for all the resumes (PDF and DOCX files) you want to analyze.

🚀 Getting Started

1. Clone the Repository:

   git clone [https://github.com/sujit-codezen/ai_resume_analyzer_python.git](https://github.com/sujit-codezen/ai_resume_analyzer_python.git)
   cd ai-resume-analyzer

2. Set Up Virtual Environment (Optional but Recommended): Creating a virtual environment helps manage project dependencies without conflicts.

   python -m venv venv
   # On Windows:
   venv\Scripts\activate
   # On Linux/macOS:
   source venv/bin/activate

3. Install Dependencies: This step installs all necessary libraries, including spaCy for natural language processing.

   pip install --upgrade pip
   pip install -r requirements.txt
   python -m spacy download en_core_web_sm

📄 Add Your Job Description

To get started, paste your job requirements inside the job_description.txt file.

Example: Looking for a Python developer skilled in Django, React, SQL, AWS, and Docker.

📤 Add Resumes

Next, place your .pdf or .docx resumes inside the resumes/ folder. The analyzer will process all compatible files in this directory.

▶️ Run the Analyzer

Once your job description and resumes are in place, execute the main script from your terminal:

python analyzer.py

📊 Sample Output

After running the analyzer, you'll see a clear, tabular summary indicating how well each resume matches the job description, along with the skills identified.