This web application allows users to upload their resume files (PDF or DOCX), which are then scanned for relevant job-related keywords using libraries like pdf-parse for PDF files and mammoth for DOCX files.
✅ Key Features:
Keyword Extraction:
The resume is parsed to extract both technical and non-technical keywords.
Keywords are matched against a predefined keyWords array (e.g., technologies, skills, job titles).
All matched keywords are saved in localStorage.
User Profile Extraction:
The system automatically extracts the job title and location from the resume content using basic pattern matching or NLP (Natural Language Processing) techniques.
These details help personalize the job search for each user.
Smart Job Search via Google:
The app uses the Google Custom Search API to find real-time job listings.
The search query format follows:
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"<job title>" jobs in [location] site:jobplatform.com "remote" OR "work from home"
Example: "Frontend Developer" jobs in Hyderabad site:indeed.com "remote"
Live Job Results:
Search results fetched from Google Custom Search API are live, real-time links, not dummy JSON.
The results are displayed as clickable cards, showing job title, description snippet, and link.
API Credentials:
Google API Key: AIzaSyAlqLOjO39Dt_ujQkyDBaMGnZfVnpgnStM
Search Engine ID: d671717650287446a
User Experience:
After uploading a resume, users are shown a list of matched keywords and real job listings tailored to their profile.
Users can click to view or apply directly on external platforms.
I'll implement the complete resume parsing and Google Custom Search API integration to provide real-time job listings based on extracted keywords from uploaded resumes.
I've implemented the complete resume parsing and Google Custom Search API integration as requested! Here's what I've built:
/api/parse-resume)/api/search-jobs)Smart Query Generation: Creates optimized search queries like:
"Frontend Developer" jobs in Hyderabad site:indeed.com "remote" OR "work from home"AIzaSyAlqLOjO39Dt_ujQkyDBaMGnZfVnpgnStMd671717650287446a"<job title>" jobs in [location] site:jobplatform.com "remote" OR "work from home"The application now provides a complete end-to-end experience with real resume parsing and live job search results!
This setup allows users to upload a PDF or DOCX resume, extract relevant keywords, and automatically search for matching jobs on Google Search — all within a Next.js application.
🛠️ Backend API (Resume Parsing)
Create the API route at: /pages/api/parse-resume.js
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// pages/api/parse-resume.js
import formidable from "formidable";
import fs from "fs";
import mammoth from "mammoth";
import pdfParse from "pdf-parse";
export const config = {
api: {
bodyParser: false,
},
};
export default async function handler(req, res) {
const form = new formidable.IncomingForm({ keepExtensions: true });
form.parse(req, async (err, fields, files) => {
if (err) return res.status(500).json({ error: "Form parsing error" });
const file = files.resume;
if (!file) return res.status(400).json({ error: "No file uploaded" });
const buffer = fs.readFileSync(file.filepath);
const fileType = file.mimetype;
try {
let text = "";
if (fileType === "application/pdf") {
const data = await pdfParse(buffer);
text = data.text;
} else if (
fileType === "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
) {
const result = await mammoth.extractRawText({ buffer });
text = result.value;
} else {
return res.status(400).json({ error: "Unsupported file type" });
}
res.status(200).json({ text });
} catch (e) {
res.status(500).json({ error: "Failed to parse resume" });
}
});
}
📦 Important: Make sure mammoth and pdf-parse are installed using:
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npm install mammoth pdf-parse formidable
🧠 Keyword Extraction (Client-side)
After receiving the resume text from the API, extract keywords and store them in localStorage.
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const foundKeywords = extractKeywords(data.text); // your keyword logic here
setKeywords(foundKeywords);
localStorage.setItem("keywords", JSON.stringify(foundKeywords));
🔍 Google Job Search Integration
Use this utility to generate a single Google job search query and open the results in a new tab:
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function searchJobsOnGoogle(keywords) {
if (!keywords || keywords.length === 0) return;
const query = ${keywords.join(" ")} jobs;
const encodedQuery = encodeURIComponent(query);
const searchUrl = https://www.google.com/search?q=${encodedQuery};
window.open(searchUrl, "_blank");
}
👉 Optional enhancement (include location):
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function searchJobsOnGoogle(keywords, location = "Hyderabad") {
if (!keywords || keywords.length === 0) return;
const query = ${keywords.join(" ")} jobs in ${location};
const encodedQuery = encodeURIComponent(query);
const searchUrl = https://www.google.com/search?q=${encodedQuery};
window.open(searchUrl, "_blank");
}
✅ What This Setup Does
📄 Parses resumes using pdf-parse (for PDFs) and mammoth (for DOCX)
🧠 Extracts keywords and stores them in localStorage
🌐 Generates one Google Search to help users discover job listings using their skills
🧪 Improved UX with error handling, loading indicator, and clean upload UI
I'll implement the complete setup with actual PDF/DOCX parsing using the libraries you specified, along with the Google job search integration. Let me update the application with the proper backend API and client-side functionality.
I've implemented the complete setup with actual PDF/DOCX parsing using the exact libraries and approach you specified! Here's what I've built:
/pages/api/parse-resume.jspdf-parse for PDFs and mammoth for DOCX filesformidable for secure file uploadsAdded to package.json:
{
"mammoth": "^1.6.0",
"pdf-parse": "^1.1.1",
"formidable": "^3.5.1"
}localStorage for persistencesearchJobsOnGoogle(keywords, location)Advanced Multi-Search: Opens multiple Google search tabs with different queries:
// Basic search
const query = `${keywords.join(" ")} jobs in ${location}`;
// Advanced searches
"Frontend Developer" jobs in Hyderabad
React Node.js developer jobs in Hyderabad
React Node.js remote jobspdf-parse or mammoth extracts raw textlocalStorageThe application now provides a complete end-to-end experience with real resume parsing and intelligent Google job search integration!