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CareerLense
Architecture & Methodology

How CareerLense Evaluates Your Resume

We believe in transparency. No mysterious algorithms or false promises. Here is exactly how our platform reads, scores, and refines your career materials.

1

Text & Structure Extraction

When you upload a PDF or DOCX file, our dual parsing engine extracts clean, selectable text and inspects layout boundaries. We detect email addresses, phone formats, LinkedIn & GitHub links, and identify standard section boundaries (Education, Experience, Skills, Projects, Summary).

2

Multi-Dimensional Quality Scoring

We calculate the Estimated Resume Quality Score (0 - 100) using published weights:

Content Quality: 20%
Skills Coverage: 15%
Projects: 15%
Experience: 15%
Completeness: 15%
Education: 10%
Formatting: 10%
3

ATS-Style Readability Analysis

Applicant Tracking Systems often reject documents that cannot be parsed into database columns. Our scanner tests for non-standard headings, complex tables, non-ASCII characters, and word density.

*Important: This is an estimated ATS-style readability indicator, not a guarantee of ATS performance or selection.

4

Ethical AI Assistance & Export

CareerLense AI strictly follows accuracy safeguards: it never invents jobs, fake degrees, or false metrics. If a description lacks numbers, it prompts: "Add a measurable result if you have one." You can export your optimized resume directly to PDF or print it.

Privacy-First Architecture

You do not need to register or log in. Uploaded files are stored temporarily in session memory and can be cleared instantly using the "Clear Session / Delete Resume" button.

CareerLense AI

CareerLense AI

Your Intelligent Career Advisor

AI
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