AI Resume Ranking & Completeness Checker

This project is a Streamlit-based web application that uses AI techniques to analyze resumes, rank them based on job descriptions, and check for missing details in the resumes.

Features

✅ Extracts text from various file types (PDF, DOCX, PNG, JPEG).
✅ Identifies key details like Name, Email, Phone, and LinkedIn.
✅ Extracts technical skills, experience, and projects/certifications.
✅ Ranks resumes based on similarity to the job description using TF-IDF and Cosine Similarity.
✅ Highlights missing resume sections for improvement suggestions.

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Installation

1. Clone this repository:

   git clone https://github.com/yourusername/ai-resume-checker.git
   cd ai-resume-checker

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run main.py

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Usage

1. Enter the Job Description in the provided text area.
2. Upload multiple resumes in PDF, DOCX, PNG, or JPEG format.
3. The app will display:
   • Resume Completeness Check with missing sections for each resume.
   • Resume Ranking sorted by similarity score, experience, and other key factors.
4. Select a resume to receive detailed suggestions for improvement.

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Sample Output

🔹 Resume Completeness Check
| Name        | Missing Fields        |
|--------------|------------------------|
| John Doe     | None                   |
| Jane Smith   | Email, LinkedIn        |

🔹 Resume Ranking
| Resume       | Score  | Experience | Skills Matched | Projects |
|---------------|--------|-------------|-----------------|------------|
| John_Doe.pdf | 0.87   | 3 years     | 7                | 4          |
| Jane_Smith.docx | 0.75 | 2 years     | 5                | 3          |

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Future Enhancements

• Add support for extracting content from .txt files.
• Implement improved NLP techniques for better skill detection.
• Introduce feedback-based learning for personalized resume suggestions.

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License

This project is licensed under the MIT License.