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ResumIn

What It Does

This project is an AI-powered resume builder that generates job-specific, highly tailored resumes from a single, comprehensive user profile.

Instead of rewriting your resume for every application, you do the hard work once. The system handles the rest. Selection, alignment, and optimization.

How It Works

1. Deep User Input (One-Time)

Users input:

Education and personal background
5–10 projects with high-detail bullet points
Work experience with clear impact, responsibilities, and technologies

Most people skip this depth that’s exactly why their resumes are weak. This system forces high-quality input upfront.

2. Job Analysis Agent

User provides only a job posting link.

The AI agent:

Scrapes and summarizes the job description
Extracts required skills and qualifications
Generates technical + behavioral interview questions
Identifies ATS keywords

This turns messy job postings into structured data.

3. Resume Tailoring Agent

A second agent takes:

Your full dataset
The analyzed job requirements

It then:

Selects the most relevant projects and experience
Reorders content for maximum impact
Injects ATS keywords naturally
Removes irrelevant or low-signal content

4. Output

Clean and optimized professional resume formatting
Exported as a submission-ready PDF

Why It’s Different

Most tools focus on templates.

This system focuses on:

Relevance > completeness
Signal density > filler
Matching the job > generic resumes

Blunt truth: bad resumes aren’t ugly, they’re irrelevant.

Challenges We Addressed

Designing a pipeline that separates analysis vs. generation
Preventing keyword stuffing while still optimizing for ATS
Handling noisy and inconsistent job descriptions

What We Learned

High-quality input drastically improves AI output
Multi-agent systems outperform single-pass generation
Resume optimization is fundamentally a selection problem, not a writing problem