Hey there!

In this tutorial, we are going to walk through how to build your own AI powered Resume Builder on Emergent. By the end, you will have a complete web app that lets anyone upload a resume, extract structured data from it, edit their information, preview professional templates, and download an ATS friendly PDF that looks clean and polished.

Before we begin, let’s understand what you are actually building.

An AI Resume Builder is a combination of three things:

1. A way for users to upload or paste their resume.

2. An AI system that extracts structured fields like experience, education, and skills.

3. A template system that turns this data into a beautiful, downloadable resume.

On Emergent, you do not have to write the parsing logic, CRUD endpoints, or PDF generation code by hand.

You describe what you want, and the agent builds the backend, frontend, editors, templates, previews, and PDF exporters for you.

By the end of this tutorial, you will have:

• A working resume upload system

• AI powered parsing that extracts structured resume data

• A Resume Editor page where users can modify content

• Five professional templates

• A Template Preview modal with real screenshots

• ATS friendly PDF export using text based generation

• A smooth, modern interface

You will also learn how to work with AI tools, manage user data safely, and create a personalized experience that feels premium.

Let’s start by building the app on Emergent.

Building on Emergent

On Emergent, everything starts with a single detailed prompt. You describe what you want the Resume Builder to do, and Emergent generates the backend, frontend, UI, and PDF generation logic for you.

Here is an example of the exact prompt you can use:

Build a web app called AI Resume Builder.

The app should allow users to upload resumes, parse them using AI, edit the structured data, preview professional templates, and download an ATS friendly PDF.

Core Requirements
Resume Upload and Parsing

Support PDF and DOCX uploads

Extract text on the backend

Use AI to convert resume text into structured JSON

Include fields for personal info, experience, education, skills, certifications, and summary

Store parsed resumes in MongoDB

Resume Editor

Generate a React page to edit all fields

Support add and remove actions for experience and education entries

Save changes via PUT requests

Display toast notifications

Templates

Provide 5 templates: Modern, Professional, Minimal, Creative, Healthcare

Each template should be built in HTML and consume the resume JSON

Generate preview screenshots

Display a Template Preview modal

PDF Export

Use jsPDF to create text based PDFs

Avoid canvas based exports

Ensure all text is selectable for ATS systems

Recreate template styles with lines, text blocks, section headers, and basic shapes

User Experience

Clean, responsive UI

Intuitive editing flow

Clear template selection

Explaining the Prompt in Practical Terms

Here is what you're actually asking the agent to do:

• Backend

Create endpoints for upload, parse, save, update, and fetch.
Implement AI parsing so you always receive consistent JSON.

• Frontend

Generate pages for uploading, editing, and exporting.
Build a modal to preview templates.
Organize everything with reusable components.

• Templates

Build five HTML layouts that follow modern resume design.
Take screenshots so users can see what they are selecting.

• PDF Export

Use text only generation so PDFs remain small and ATS readable.

Agent’s Clarifying Questions

The agent may ask about:

• Whether you want multi page resume support

• What the JSON structure should include

• How detailed the editor should be

• Where to store template screenshots

• Color themes for templates

Once you answer, the agent continues building.

Setting Up Resume Parsing

Emergent will create:

• A file upload endpoint

• A text extractor

• An AI parser that returns a predictable JSON structure

You can test with sample resumes, and the agent will adjust the parser if certain fields are missing or inconsistent.

This ensures the templates have clean, structured data to work with.

What the Final App Looks Like

Once Emergent finishes generating the project, your app will behave like this.

1. Upload Resume

User uploads a PDF or DOCX.
Backend extracts text and sends it to the AI parser.

2. Parse to JSON

The AI returns consistent fields for personal info, experience, education, skills, and certifications.

3. Edit Resume

The React editor loads the resume and allows the user to modify any field.

4. Preview Templates

Users choose from five templates.
A modal shows an HTML preview and the template screenshot.

5. Export PDF

The backend or frontend generates a text based PDF using jsPDF.
This PDF is completely ATS safe because all content is rendered as text.

Wrapping Up

That is it.
You now have a well structured AI Resume Builder running on Emergent.

You described the requirements and Emergent generated:

• The backend architecture

• The parsing pipeline

• The React editor

• The template system

• The PDF export functionality

Once deployed, your Resume Creator is now live and ready to explore. You can test the sample app we made over at https://resume-builder-ai-4.emergent.host/