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CASE STUDY

AI CV Builder Pro™

An AI-powered CV optimisation platform providing ATS analysis, tailored CV generation, cover letter creation, interview preparation and recruiter intelligence.

PythonOpenAI APIATS OptimisationFastAPI

ATS-Optimised

Analyses CVs against real applicant tracking systems

Tailored

Generates CVs matched to specific job descriptions

End-to-End

CV, cover letter and interview prep in one flow

The Problem

Job seekers routinely lose out to Applicant Tracking System (ATS) filters, submitting generic CVs that fail to match the specific language and requirements of a job description, regardless of their actual qualifications.

The Solution

I built an AI-powered platform that analyses a CV against a target job description, scores its ATS compatibility, and generates a tailored CV, cover letter and interview preparation notes in a single workflow.

ATS Analysis Engine

Scores CVs against job descriptions and flags missing keywords or formatting issues.

Tailored CV Generation

Produces a CV rewritten to match the language and priorities of a specific job posting.

Recruiter Intelligence

Surfaces insights on what a company and role are likely prioritising in candidates.

Interview Preparation

Generates likely interview questions and structured talking points based on the CV and role.

How It Works

01

CV & Job Description Input

User uploads their CV and pastes the target job description.

02

ATS Scoring

The ATS Analysis Engine scores compatibility and flags gaps against the job description.

03

AI Tailoring

OpenAI API rewrites CV content to align with the role while preserving factual accuracy.

04

Cover Letter & Prep Generated

A matching cover letter and interview preparation notes are produced automatically.

05

Export

The user downloads a polished, tailored application package ready to submit.

Outcome

AI CV Builder Pro gives job seekers a structured, data-driven way to close the gap between their experience and what recruiters and ATS systems are actually scanning for, materially improving callback rates.

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