LLM-Powered High-Fidelity Resume Editing Tool
Budget: ₹1,500 – ₹12,500 INR
Project: LLM-Powered Resume PDF/DOCX Editing Tool (95%+ Visual Fidelity)
We are building a WhatsApp-based chatbot that can update user resumes (PDF/DOCX) automatically using LLM-powered content editing.
Our biggest requirement is a successful editing pipeline that maintains 95%+ visual fidelity, even for resumes containing images, logos, multi-column layouts, and complex formatting.
Currently, we tried converting PDF → JSON → PDF, but the layout breaks heavily, especially when images or logos exist.
We now want a fully working solution that can reliably edit resumes via LLM without breaking the design.
Your Task:
Before we hire you, we need to know what solution you can provide for this problem and how you plan to implement it (any technique, pipeline, libraries, or LLMs you will use).
If your approach is good, we will hire you to build this as a complete project.
Sample Resume (for testing):
(Please check its layout and complexity)
Resume link: https://drive.google.com/file/d/1Gb11PZm2nRrLoNOuQMOOHOy6hZMxiTfM/view?usp=sharing
What we want you to build
A backend tool that can:
Take a user's PDF or DOCX resume
Update the resume content via LLM (e.g., job title, summary, experience etc.)
Keep the design, margins, spacing, images, and formatting at 95%+ fidelity
Return the edited PDF/DOCX back to our WhatsApp chatbot
Must work automatically without manual template creation
Budget & Timeline
Budget: $50 – $150 (fixed)
Timeline: 1–2 days (maximum)
We will hire immediately if your proposed solution looks workable.
To Apply
Please respond with:
Your plan/solution – how will you achieve high-fidelity PDF/DOCX editing with LLM?
Tools/libraries/LLMs you will use
Whether you can complete it in 1–2 days
Your fixed price within 1500 INR to 20,000 INR depends on the solution
We will review your proposed solution first. If it fits our needs, we will finalize the project and hire you.
We are building a WhatsApp-based chatbot that can update user resumes (PDF/DOCX) automatically using LLM-powered content editing.
Our biggest requirement is a successful editing pipeline that maintains 95%+ visual fidelity, even for resumes containing images, logos, multi-column layouts, and complex formatting.
Currently, we tried converting PDF → JSON → PDF, but the layout breaks heavily, especially when images or logos exist.
We now want a fully working solution that can reliably edit resumes via LLM without breaking the design.
Your Task:
Before we hire you, we need to know what solution you can provide for this problem and how you plan to implement it (any technique, pipeline, libraries, or LLMs you will use).
If your approach is good, we will hire you to build this as a complete project.
Sample Resume (for testing):
(Please check its layout and complexity)
Resume link: https://drive.google.com/file/d/1Gb11PZm2nRrLoNOuQMOOHOy6hZMxiTfM/view?usp=sharing
What we want you to build
A backend tool that can:
Take a user's PDF or DOCX resume
Update the resume content via LLM (e.g., job title, summary, experience etc.)
Keep the design, margins, spacing, images, and formatting at 95%+ fidelity
Return the edited PDF/DOCX back to our WhatsApp chatbot
Must work automatically without manual template creation
Budget & Timeline
Budget: $50 – $150 (fixed)
Timeline: 1–2 days (maximum)
We will hire immediately if your proposed solution looks workable.
To Apply
Please respond with:
Your plan/solution – how will you achieve high-fidelity PDF/DOCX editing with LLM?
Tools/libraries/LLMs you will use
Whether you can complete it in 1–2 days
Your fixed price within 1500 INR to 20,000 INR depends on the solution
We will review your proposed solution first. If it fits our needs, we will finalize the project and hire you.
Related categories:
Python
Artificial Intelligence
PDF
Word
Resumes
Node.js
Natural Language Processing
LLM Integration