Support, FAQ & Architecture

Help & About AI Resume Coach

Everything you need to know about ATS scoring algorithms, multi-format text parsing, mock interview coaching, and our privacy-first philosophy.

Deterministic ATS Engine

Transparent, repeatable scoring based on standard enterprise ATS criteria. No random numbers or black-box ratings.

Learn about the formula →

Turn-by-Turn Mock Coach

Practice behavioral and technical interviews with an AI interviewer that grades answers and offers STAR-method rewrites.

Start an interview session →

Privacy & Local Storage

Your resume lives securely in your local environment. One-click data purge and JSON export anytime in Settings.

Manage privacy settings →

Frequently Asked Questions

Got questions? We have answers. Filter by topic below.

The ATS Score is calculated on a deterministic 0–100 scale broken down across six weighted categories: Keyword Optimization (20%), Skills Matching (20%), Section Completeness (15%), Readability & Structure (15%), Experience Quantification & Metrics (15%), and Job Relevance (15%). No random guessing—each score is tied to exact tokens and structural elements found in your resume.

System Architecture & Tech Stack

Built with enterprise-grade web and AI technologies

Frontend

Next.js 16 (App Router)

React 19, TypeScript, Tailwind 4, Lucide Icons

Document Engine

PyMuPDF + python-docx

Robust binary text extraction for PDF and Word

AI Gateway

Multi-Model Gateway

Dynamic routing for evaluation & career assistant

ATS Engine

Deterministic Scoring

Transparent 6-category algorithmic evaluation

Designed strictly with the Dark Navy Electric palette (#06142E, #102A56, #168BFF, #35D9FF).

Try Resume Analyzer•Try Mock Interview

Need help or have feedback?

Reach our engineering support team directly or use the feedback button in the navigation.

team@raccoonai.tech