Pocket Resume
Context-aware AI browser extension for tailoring resumes to any job description.
Context & Overview
The modern job market requires tailoring resumes for every single application to pass ATS filters. Doing this manually is slow and tedious.
The Challenge
Problem Statement
Job seekers spend hours rewriting resumes for each application, often guessing at keywords.
Why It Matters
Tailored resumes have a 2x higher interview callback rate.
Constraints
- Must work on any job board (LinkedIn, Indeed, etc.)
- Privacy-first (local data storage).
Goals & Metrics
Objectives
- Reduce resume tailoring time from 30 mins to 30 seconds.
- Generate high-quality, ATS-friendly content.
- Seamless browser integration.
Target KPIs
- Active Users
- Resumes Generated
- Time Saved per Application
Research & Discovery
Methodology
Key Insights
- Formatting matters as much as keywords.
- Users rarely trust 'cloud' storage with their personal data.
Approach & Strategy
In-context augmentation: The tool lives *on* the job page, reading the DOM to understand requirements and generating the PDF locally.
Frameworks
Chrome Extension Manifest V3, Prompt Engineering (Gemini)
Collaboration
Open source community feedback on GitHub.
The Solution
A Chrome Extension that reads the active tab's job description, takes your 'Master Resume', and rewrites it to match the role's keywords and tone.
App Visuals
Design Rationale
Browser extension was the only form factor that allowed seamless access to job board content without copy-pasting.
Execution
Roadmap
Week 1
Manifest V3 setup & DOM scraping
Week 2
AI Prompt Tuning
Week 3
PDF Generation
Week 4
Store listing
Challenges Overcome
- ⚠ Scraping dynamic SPAs (LinkedIn/Indeed) required robust DOM observers.
- ⚠ PDF generation in-browser is tricky (fonts/layout).
Outcomes & Impact
Quantifiable Results
- 1.Live on Chrome Web Store
- 2.Generates resume in <20 seconds
- 3.Supports all major job boards
Qualitative Feedback
"Users love the 'Cover Letter' bonus feature."
"High accuracy in keyword matching."
Learnings & Future
Key Takeaways
- Prompt engineering is a product feature.
- Client-side AI is viable and cheap.
Next Steps
- Add 'Apply' automation
- Resume score analysis
- History tracking