AI Resume Screener using NLP

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  Output of the AI Resume Screener showing match score, identified skills, and missing keywords based on the given input.

Inspiration

While exploring how recruitment works, I realized that going through hundreds of resumes manually is both time-consuming and inefficient. This made me think about how AI could simplify the process and reduce effort.

What it does

This project is a simple AI-based resume screener that compares resumes with job descriptions. It gives a match score and highlights relevant and missing skills to help in quick evaluation.

How I built it

I used Python and basic NLP techniques to extract keywords from both the job description and the resume. These are then compared to calculate how well the candidate fits the role.

Challenges I ran into

One challenge was dealing with different writing styles in resumes, as not all candidates use the same terms. Making the matching process simple yet meaningful was also tricky.

Accomplishments that I am proud of

Built a functional AI resume screener within a short time Explored practical use of NLP in a real-world scenario

What I learned

I got a better understanding of how NLP works in real-world applications and how even simple logic can be useful when applied correctly.

What's next for AI Resume Screener using NLP

In the future, this can be improved by using advanced AI models and making the system more accurate and scalable.

Built With

• gemini
• github
• natural-language-processing
• python
• vscode