AI Resume Analyzer: Match Jobs to Candidates Straight From Your Browser

If you’ve ever spent hours sifting through resumes, trying to match candidates to job descriptions, you know it’s tedious. You want something fast, fair, and — ideally — running right in your browser without sending sensitive data to a third party. That’s exactly what this open-source project does.

Built with a focus on privacy and developer usability, the AI Resume Analyzer lets you upload a resume and a job description, then uses AI to score the match. No backend, no API keys to juggle. Just a local HTML page with some smart JavaScript.

What It Does

The tool accepts a PDF resume and a job posting text. It extracts the resume content, compares it against the job description using a local AI model (powered by Transformers.js and Hugging Face’s inference API), and returns a match score along with key insights like missing skills or strengths.

It’s all client-side. The analysis happens in your browser, meaning candidate data never leaves your machine. You can check the source code on GitHub to verify exactly how it works.

Why It’s Cool

A few things make this stand out:

• Zero server setup. Just open the HTML file or deploy it on GitHub Pages. No npm install, no Docker, no cloud credentials.
• Privacy-first. Resumes often contain personal info. Running locally means you control the data.
• Smart scoring. The AI doesn’t just look for keyword matches. It understands context — so “5 years Python” and “strong Python background” get treated similarly.
• Customizable. You can swap the AI model or tweak the scoring logic. The code is clean and well-commented.
• Works offline. Once the model is loaded, you can disconnect from the internet. Great for air-gapped environments or slow connections.

How to Try It

1. Clone the repo:

   git clone https://github.com/adrianhajdin/ai-resume-analyzer.git
   cd ai-resume-analyzer
   

2. Open index.html in your browser. That’s it. No build step.

3. Upload a resume (PDF) and paste a job description. Click “Analyze” and watch the results appear.

If you want to test quickly, there’s a demo link in the repo’s README (hosted on GitHub Pages). You can play with it right now without downloading anything.

Final Thoughts

This isn’t a production-grade HR system — but that’s missing the point. It’s a neat, practical demo of how you can run AI locally in the browser with minimal friction. For side projects, hackathons, or small teams who want a lightweight screening tool, it’s a solid starting point.

The code is approachable enough to learn from, and the architecture is clean enough to extend. If you’ve been curious about running models client-side or building tools for recruiters, give it a spin. It might just save you an afternoon of manual resume reading.

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