I want to develop a Smart Resume-Based Job Finder web application that helps users find the most suitable job listings based on the skills and experience extracted from their resume. The website should offer a great user experience with a clean, modern, and responsive design.
✨ Website Overview:
A modern job search platform where users can:
Upload their resume (PDF or DOCX)
Automatically extract skills & keywords
Get matched to suitable job roles
Instantly view relevant job listings
Save and manage interesting jobs for later
🎯 Core Pages & Sections:
Hero Section with CTA (e.g., “Scan My Resume to Find Jobs”)
About Section: Brief intro about the platform and how it helps
Features Section: Visual cards/icons for major features
How It Works: 3 or 4-step process (upload → extract → match → apply)
Scan My Resume Section: Upload box with progress/preview
Saved Jobs Section: Show user’s saved jobs (from localStorage or DB)
Contact / Footer: Links to GitHub, credits, support
🔧 Core Functional Features:
Resume Upload & Parsing
Accept .pdf and .docx formats
Parse and extract text using pdf-parse / mammoth
Show extracted text preview or keywords
Skill & Keyword Extraction
Extract technical skills, tools, languages using NLP (natural, compromise)
Optionally highlight important or rare keywords
Job Role Mapping
Match extracted skills with relevant job titles using a keyword–job map
E.g., “React, Node.js” → “Frontend Developer”, “MERN Stack Developer”
Job Search Integration
Generate job search links using Google/LinkedIn/Indeed:
“Frontend Developer jobs in Hyderabad site:linkedin.com”
Display links with job title, location, platform icon, and apply button
Saved Jobs
Let users bookmark jobs (stored in localStorage or MongoDB)
Show in a “Saved Jobs” section on the homepage or dashboard
Responsive UI
Beautiful, dark/light theme support
Smooth transitions and scroll animations
Fully mobile-friendly
🚀 Bonus Features to Add:
Login/Signup (Optional) – custom JWT-based auth
Job Alert Generator – Suggest job roles weekly via email (Mailgun, Postmark)
Resume Quality Score – Show match score vs. job title
Keyword Gap Suggestions – Tips for adding missing in-demand keywords
AI Resume Tips (Future) – Use OpenAI API to suggest improvements
Admin Panel (Optional) – To edit job mapping or view stats
Search History – Keep track of previous searches
📦 Tech Stack:
Layer
Tools Used
Frontend
Next.js, Tailwind CSS, ShadCN UI
State Mgmt
React Context / Zustand / Redux (optional)
Resume Parse
pdf-parse, mammoth
NLP
natural, compromise (Node.js NLP)
Backend
Next.js API Routes or Express.js
Auth (opt.)
JWT
Database
MongoDB Atlas (Free Tier)
📝 Final Deliverables:
Beautiful homepage with all major sections
Resume upload → keyword extractor → job matching
Search results & job cards with apply links
Saved jobs feature (localStorage/DB)
Fully responsive, polished UI
I'll help you create a comprehensive Smart Resume-Based Job Finder web application with a modern, responsive design. Let me build this step by step with all the core features you've outlined.
I've created a comprehensive Smart Resume-Based Job Finder web application with all the features you requested! Here's what I've built:
/) - Complete landing page with all sections/jobs) - Job listings with search and filters/upload) - Dedicated resume upload with analysis/saved) - Manage bookmarked positions/about) - Company story and missionThe application is structured to easily integrate:
I'll implement real-time job listings from Google search based on the skills extracted from the user's resume. This will make the application much more useful with current job opportunities.
I've implemented real-time job search functionality that uses Google search to find relevant job listings based on the skills extracted from the user's resume. Here's what I've added:
Created a new /api/search-jobs endpoint that:
/api/search-jobs API with these skillsThis implementation provides a more dynamic and useful experience by connecting users with real job opportunities based on their skills, rather than showing static mock data.
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:
bash Copy Edit "<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.