A Powerful Tool to Boost Your Interview Chances: The Ultimate Step-by-Step Guide

Anyone who has been on the job hunt knows that many large companies use Applicant Tracking Systems (ATS) to screen resumes. If your resume doesn't sufficiently match the Job Description (JD), it's rejected on the spot, never even getting a chance to be seen by HR.

But, as they say, where there's a will, there's a way. An open-source software on GitHub can solve this problem: Resume Matcher.

Introducing Resume Matcher

Resume Matcher is an open-source project on GitHub with over 20,000 stars. It's designed to help job seekers optimize their resumes to effectively pass through corporate ATS.

Core Functions:

• AI-Powered Matching Analysis: Leverages a locally-run Large Language Model (powered by Ollama) to perform a deep analysis of the similarity between your resume and a job description.

• Quantitative Assessment & Optimization Suggestions: The tool generates a match score and highlights key skills and terms missing from your resume, providing clear directions for optimization.

Key Features:

• Privacy-First: All data processing is done locally, ensuring the absolute security of sensitive information like your resume.

• Open-Source & Free: The project is completely open-source, and all its features are free to use.

Without further ado, today I'll walk you through the installation process, step-by-step. This ultimate guide will take you from zero to deploying this job-seeking weapon, helping you take a solid step toward your dream offer.

Environment Setup

Before installing Resume Matcher, you need to prepare your environment. The official requirements are as follows:

Windows

• PowerShell 5.1 or higher

• Node.js ≥ v18 (including npm)

• Python ≥ 3.8 (python3, pip3)

• winget (recommended for Ollama installation)

• uv (will be installed automatically by setup.ps1 if missing)

macOS

• Bash 4.4 or higher

• Node.js ≥ v18 (including npm)

• Python ≥ 3.8 (python3, pip3)

• curl (for installing uv and Ollama)

• make (for Makefile integration)

Looks a bit overwhelming, right? But with ServBay, it's not complicated at all. ServBay can install Node.js, Python environment, and even Ollama with a single click, saving you a ton of time. Let's go through it step by step.

1. Install Node.js and Python

First, go to the official website (https://www.servbay.com) to download and install ServBay. Then, from the left-side navigation menu, go to "Packages" and select Node.js and Python.

Next, choose the versions you need. Node.js requires version 18 or higher; the LTS version is recommended.

Python needs to be 3.8 or higher; I chose Python 3.12.

And just like that, the environment is ready.

2. Set Up Ollama with Ease

Next, still in the "Packages" section, scroll down to the "AI" option, select Ollama, and click the green button to install Ollama with one click.

Click the activate button.

In less than 5 minutes, all environmental dependencies are ready. No complex Homebrew commands, no messing with environment variables—just clean and simple.

Install Resume Matcher

Now, let's start installing Resume Matcher. The following commands are for macOS, but you can adapt them for Windows.

First, let's download the gemma3:4b model.

In ServBay's left-side menu, find "AI", locate gemma3, select the gemma3:4b model, and click the green button to download it.

Now that the basic environment is ready, let's download and run the Resume Matcher project's own installation script.

Open your terminal and follow these steps.

• First, clone the project code: Download the Resume Matcher code from GitHub to your computer.

  •   git clone https://github.com/srbhr/Resume-Matcher.git
    

• Enter the project directory:

  •   cd Resume-Matcher
    

• Run the installation script:

  •   ./setup.sh
    

This process will download some dependencies. Wait patiently for a few minutes, and Resume Matcher will be fully installed.

Launch and Use Resume Matcher

With everything in place, you can now launch Resume Matcher.

Run the start command:

npm run dev

Wait a moment for the process to complete.

Next, we can set up a reverse proxy for more convenient access.

• Open ServBay again and select "Sites" from the left menu.

• Fill in a site name and set an easy-to-remember domain, like resume.test.

• For "Website Type", select "Reverse Proxy".

• Set the IP address and port as follows:

  • IP Address: 127.0.0.1; Port: 3000

• Click "Add", and you're all set.

Now, you can access it directly in your browser to launch and use Resume Matcher.

Summary

With the help of ServBay, wasn't that entire process surprisingly smooth? The environment configuration, which could have taken half a day or even several days of tinkering, is now done in about ten minutes.

You now have a powerful tool to help you identify the gaps between your resume and your target job. You can then cleverly weave those missing keywords and skills into your experience descriptions, ensuring your resume sails smoothly through the ATS screening.

Wishing you all the best in landing your dream offers and succeeding in your job hunt