Prototype Local Logic AI-ready

AI Job Application Assistant

An honest AI-ready prototype that helps job seekers compare a role against their profile and turn the result into clearer application material.

The current version works without an API key. It uses rule-based analysis, keyword matching and template-based feedback to demonstrate the intended AI workflow before future AI API integration.

View Case Study

Step 1 / Functional Demo Layer

Choose demo or paste your own text

Use the analyst role demo for a polished walkthrough, or paste a job description and candidate profile to test the local scoring logic.

Demo Scenario Layer

Load one of five preset role and profile examples. Each scenario is designed to produce a different fit score.

Step 2 / Rule-based analysis

Recruiter Fit Snapshot

Prototype mode
0 /100

Fit level: Not analysed

Best Matched Areas

  • Run the analysis to see matched areas.

Main Gaps

  • Run the analysis to see candidate gaps.

Missing Keywords

Pending

Recruiter First Impression

The snapshot will summarise whether the candidate looks relevant at first scan.

Suggested Next Action

Load the demo or analyse your own text to receive a recommended next step.

This prototype uses local rule-based logic to simulate the intended AI workflow. It does not currently call an external AI API.

Step 3 / Suggested Improvements

Short application feedback

Concise, template-based feedback keeps the prototype honest and readable.

Recruiter Summary

Run an analysis or load the demo example to generate short recruiter-friendly feedback.

Step 4 / Portfolio Case Study

Project explanation

Original Idea

The original idea was to create an AI assistant that gives instant feedback on job descriptions, candidate fit and application material.

Current Prototype

This version works without an API key by using local keyword matching, scoring rules and template-based feedback. It demonstrates the workflow and user experience before adding real AI generation.

Why This Approach

Instead of building fake AI outputs, the prototype focuses on clear input structure, useful feedback and recruiter-friendly presentation. This makes the project easier to understand and more honest as a portfolio piece.

Future AI Integration

A future version would connect to an AI API to provide deeper reasoning, more natural writing suggestions, tone control, CV upload analysis and personalised interview coaching.

What This Demonstrates

This project shows practical AI workflow design, product thinking, input-output structure, user journey design and basic analysis logic.

Future AI Layer

What live AI would add

A future version would connect to an AI API to generate richer CV rewrites, cover letters, interview answers, tone adjustment and deeper recruiter-style feedback.

Richer application writing

Generate stronger CV summaries, bullet rewrites and cover letter drafts from the same structured inputs.

Deeper recruiter reasoning

Explain why a candidate looks strong or weak, with more nuanced evidence than keyword matching alone.

Personalised interview coaching

Create tailored interview answers, tone variations and follow-up preparation based on the target role.