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HireFit AI

AI-powered career workspace focused on resume optimisation, ATS scoring, cover letters, interview preparation and job application tracking.

The homepage presents a clean SaaS-style product layout with a live ATS match report preview and clear conversion actions.

Built as an ongoing product with frontend, backend, database, authentication and AI service architecture planned together.

Useful for job seekers who need one focused platform instead of using separate tools for every career task.

HireFit AI main project preview
AI Software + Career Platform

What this project is about.

HireFit AI is an AI-powered career workspace designed to help job seekers improve resumes, beat ATS systems, generate cover letters, prepare for interviews and track every job application in one focused platform. The project presents a clean landing page with an ATS match report preview, skill/keyword/experience/education scoring, recommended fixes, pricing flow, guides, security content and account access direction. It is currently marked as ongoing while the full backend, database, authentication and AI service deployment are being prepared for public release.

Why this system was needed.

Job seekers often apply to many roles without knowing whether their resume can pass ATS filters or match the exact job description. They may also use separate tools for resume editing, cover letters, interview preparation and application tracking, which creates confusion and weak follow-up. A single AI-assisted workspace was needed to organise the career preparation flow clearly.

How the project solves it.

HireFit AI was prepared as a structured career platform with ATS scoring, resume optimisation, cover letter generation, interview preparation, job tracker and AI-supported recommendations. The landing page explains the value clearly, while the project architecture includes frontend, backend, database schema, authentication flow, AI service integration and subscription-ready feature planning.

Workflow and business use explained clearly.

This portfolio entry is prepared from the uploaded HireFit AI project folder, README/project documentation and the working local screenshot shared after dependency installation was fixed.

01

Product Entry

A job seeker opens the HireFit AI landing page and understands the product through the ATS scoring preview and career-workspace headline.

02

Resume Input

The user can upload or prepare resume content so the system can analyse skills, keywords, education and experience alignment.

03

ATS Scoring

ATS scoring compares resume details with job expectations and gives an overall match score with category-level breakdown.

04

Fix Guidance

Recommended fixes explain which keywords, quantified results or profile improvements should be added before applying.

05

AI Tools

AI tools can help generate cover letters, improve resume wording and prepare interview questions for the selected role.

06

Job Tracker

The application tracker helps organise job submissions, interview status, follow-ups and notes in one dashboard.

07

Plan Control

Subscription controls can separate free daily scans from premium/unlimited usage after the product is fully launched.

08

Public Release

Final deployment will connect environment variables, database tables, authentication, AI keys and production hosting for public use.

Main modules included in the system.

  • Landing page with HireFit AI branding, navigation, login action and get-started call-to-action.
  • ATS match report preview showing overall score and category-wise results for skills, keywords, experience and education.
  • Recommended fixes section to guide users on what changes can improve resume performance.
  • Resume parsing workflow planned to extract candidate name, skills, experience, education and keywords.
  • Resume optimisation module planned to rewrite content for better ATS matching and job relevance.
  • Cover letter generation module planned for role-specific professional application documents.
  • Interview preparation module planned for technical, HR and scenario-based practice questions.
  • Job application tracker planned to manage company, job title, status, interview date and follow-up notes.
  • Resume builder workflow planned with ATS-friendly templates and structured profile sections.
  • Subscription-ready logic planned for free scan limits and Pro unlimited access workflow.
  • Authentication and protected route planning for user dashboard, saved resumes and private account data.
  • Guides, pricing, reviews, security, practice, checklist and FAQ pages planned for product trust and conversion.

What was developed and configured technically.

  • React 19 and TypeScript frontend prepared with Vite build tooling for modern product development.
  • Tailwind CSS 4 and ShadCN UI used for clean responsive layout, cards, buttons, navigation and product sections.
  • Framer Motion dependency available for smooth marketing-page animations and premium interaction polish.
  • Node.js, Express and tRPC architecture prepared for type-safe backend communication and API workflow.
  • Drizzle ORM and MySQL schema planning included for users, resumes, job descriptions, ATS results and applications.
  • Gemini AI service planning included for resume parsing, keyword extraction, cover letter creation and interview preparation.
  • Authentication workflow prepared for protected user routes, dashboard access and private account handling.
  • ATS scoring concept uses weighted sections such as skills, experience, keywords and education for match reporting.
  • Application tracker structure prepared for job status, company details, interview date, follow-up reminders and notes.
  • Subscription model planned for free daily scan limit and Pro access controls after production release.
  • Environment and dependency setup documented, including TSX dev server workflow and Vite dependency conflict handling.
  • Public portfolio wording keeps API keys, database credentials, OAuth details and unfinished deployment values hidden.

Real interface views and working screens.

Only the most relevant real screenshots are shown here so the portfolio stays clean, focused and easy to review.

Live Project Access

This HireFit AI project is currently running in local development and will be available after final deployment.

Why this project builds client confidence.

01

AI Product Direction

Shows Yoonow can build AI-focused product interfaces with real business use cases beyond static websites.

02

Career Workflow

Demonstrates understanding of resume optimisation, ATS scoring, job application tracking and interview preparation workflows.

03

Scalable Stack

Uses a scalable product structure with frontend, backend, database schema, authentication and AI service planning.

04

Release Safe

Keeps the project safely marked as ongoing until public deployment, credentials and production testing are completed.

Do you need a similar AI recruitment platform like this?

Yoonow Technologies can build AI-assisted business platforms with role-based workflows, dashboards, automation, content processing and deployment-ready structure.

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