resume-insights/index.js

CLI tool to analyze how well your resume matches a job description based on keyword comparison

#!/usr/bin/env node

const fs = require("fs");
const pdfParse = require("pdf-parse");
const natural = require("natural");
const chalk = require("chalk");

const tokenizer = new natural.WordTokenizer();

const stopwords = new Set([
  "a",
  "an",
  "and",
  "are",
  "as",
  "at",
  "be",
  "by",
  "for",
  "from",
  "has",
  "he",
  "in",
  "is",
  "it",
  "its",
  "of",
  "on",
  "that",
  "the",
  "to",
  "was",
  "were",
  "will",
  "with",
  "we",
  "they",
  "you",
  "your",
  "i",
  "this",
  "have",
  "or",
  "not",
  "but",
  "if",
  "can",
  "our",
  "us",
  "do",
  "does",
  "their",
  "should",
  "shall",
  "may",
  "also",
  "must",
  "all",
  "more",
  "some",
  "such",
  "than",
  "then",
  "too",
  "into",
  "been",
]);

const ignoreKeywords = new Set([
  "job",
  "title",
  "responsibilities",
  "requirements",
  "preferred",
  "candidate",
  "developer",
  "looking",
  "skilled",
  "ideal",
  "description",
  "position",
  "role",
  "expertise",
  "working",
  "develop",
  "maintain",
  "web",
  "applications",
  "integrate",
  "components",
  "write",
  "clean",
  "scalable,",
  "code",
  "collaborate",
  "team",
  "scalable",
  "members",
  "proficiency",
  "hands",
  "familiarity",
  "knowledge",
  "understanding",
]);

function cleanText(text) {
  const clean = text
    .replace(/[^a-zA-Z0-9\s]/g, " ")
    .replace(/\s+/g, " ")
    .toLowerCase();

  return tokenizer
    .tokenize(clean)
    .filter((word) => !stopwords.has(word) && !ignoreKeywords.has(word));
}

function countMatches(resumeWords, jobwords) {
  const resumeSet = new Set(resumeWords);
  const jobSet = new Set(jobwords);
  let matchCount = 0;
  jobSet.forEach((word) => {
    if (resumeSet.has(word)) matchCount++;
  });
  return {
    matchCount,
    totalJobWords: jobSet.size,
    missing: [...jobSet].filter((w) => !resumeSet.has(w)),
  };
}

async function parsePDf(filePath) {
  const dataBuffer = fs.readFileSync(filePath);
  const data = await pdfParse(dataBuffer);
  return data.text;
}
async function analyze(resumePath, jobPath) {
  try {
    let resumeText = await parsePDf(resumePath);
    const jobText = fs.readFileSync(jobPath, "utf8");

    const resumeWords = cleanText(resumeText);
    const jobWords = cleanText(jobText);

    const { matchCount, totalJobWords, missing } = countMatches(
      resumeWords,
      jobWords
    );

    const score = ((matchCount / totalJobWords) * 100).toFixed(2);

    console.log(chalk.green(`\n Resume match score: ${score}%\n`));
    console.log(chalk.yellow("missing keywords:"));
    missing.forEach((word) => console.log("- " + word));

    if (score < 60) {
      console.log(chalk.red("\n Suggestions:"));
      console.log("- Add relevant experience for the missing keywords.");
      console.log("- Tailor your resume to the specific job description.");
    } else {
      console.log(
        chalk.green("\nYour resume aligns well with the job description!")
      );
    }

    const report = [
      `Resume Match Score : ${score}%\n`,
      `Missing Keywords (${missing.length})`,
      ...missing.map((word) => "- " + word),
      "",
      score < 60
        ? "Suggestions:\n- Add relevant experience for the missing keywords.\n- Tailor your resume to the specific job description.\n"
        : "Your resume aligns well with the job description!\n",
    ].join("\n");

    fs.writeFileSync("resume-analysis.txt", report, "utf-8");
    console.log(chalk.cyan("\n📄 Summary saved to resume-analysis.txt\n"));
  } catch (error) {
    console.error(chalk.red("Error analyzing resume:"), error.message);
  }
}

if (require.main === module) {
  const [, , resumePath, jobPath] = process.argv;
  if (!resumePath || !jobPath) {
    console.log(
      chalk.blue(
        "\nUsage: npx resume-insights <resume.pdf> <job-description.txt>\n"
      )
    );
    process.exit(1);
  }
  analyze(resumePath, jobPath);
}