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Noonday Navigator

AI reads every résumé and scores candidates against the job before a human opens one.

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noonday-finder.lovable.app
Noonday Navigator homepage screenshot

Homepage as it looks today

Status

Live

Built for

Noonday hiring team

Features

6 included

Runs on its own

5 automations

Executive summary

Noonday Navigator takes the first pass through a stack of résumés. Upload a résumé and the system reads it, pulls out the candidate's contact details, and scores them against six weighted criteria for the role — social content, design and creative, copywriting, ministry fit, analytics, and AI fluency — with a one-sentence reason for each score and an overall score out of 100. The team can then add their own review notes, and candidates sort by score so the strongest rise to the top.

What it is

A private hiring dashboard with résumé upload, AI scoring, candidate ranking, and team review notes.

Purpose for Noonday

Screening a large applicant pool by hand is slow and inconsistent. This makes the first pass fast, uniform, and explainable, so staff time goes to interviews instead of sorting.

Who it serves — Noonday hiring team

  • Hiring managers reviewing applicants
  • Team members adding second-opinion reviews

Features included

  • Résumé upload with automatic text extraction
  • AI scoring on six weighted role criteria with written reasoning
  • Automatic extraction of name, email, phone, and location
  • Overall score out of 100 and a recommendation label
  • Team review notes and scores per candidate
  • Ranked candidate list and re-scoring support

How it works

  1. 1A staff member signs in and uploads a résumé.
  2. 2The system extracts the text of the document.
  3. 3AI scores the candidate on each criterion and explains its reasoning.
  4. 4The weighted overall score is calculated and saved.
  5. 5Candidates appear in ranked order for review.
  6. 6Team members add their own notes and scores before a decision.

What runs automatically

  • AI reads and scores every résumé with no manual data entry
  • Contact details extracted automatically from the document
  • Weighted overall score calculated automatically
  • A backup model runs if the first one returns nothing
  • No emails or scheduled jobs

Notes for leadership

The scoring criteria are currently tuned for a Digital Marketing Assistant role and would need updating for a different position.

Next buildNoonday Scholarship Portal →