W.E.E.K.D.A.Y. Agent

AI resume optimizer with dual personas: F.R.I.D.A.Y. for quick wins, M.O.N.D.A.Y. for strategic depth. Rewrites bullets, detects red flags, and boosts ATS scores.

The Problem

Resume optimization is tedious. You know your bullets need metrics, action verbs, and ATS keywords — but rewriting 20 bullets while tailoring to a specific JD takes hours. Generic "resume review" tools give surface-level feedback without understanding the why.

The Solution

W.E.E.K.D.A.Y. gives you two AI agents with different optimization strategies:

• F.R.I.D.A.Y. (Fast Results In Days After Yesterday) — quick, tactical rewrites focused on ATS optimization and metric insertion
• M.O.N.D.A.Y. (Master Of Narrative Development And Yields) — deep, strategic analysis focusing on career narrative and executive positioning

Both use the AVCR Framework (Action · Value · Context · Result) to score and rewrite every bullet on your resume.

Features

• AVCR scoring — each bullet scored on action verb strength, context clarity, result specificity, and metric quantification
• Multiple rewrite options per bullet with AI rationale for each suggestion
• Health score (1–10) with detailed red flag detection
• Optimization modes — ATS keywords, metrics-focused, concise, technical depth, executive positioning
• Summary optimizer — tailored for hiring managers vs. recruiters
• Skills analysis — categorization + gap detection against the target role
• Chat interface — ask follow-up questions about your resume
• Document upload — supports PDF, DOCX, and plain text

Tech Stack

Component	Technology
Frontend	React 18 + Vite 5
Language	TypeScript 5.2
AI	Gemini 2.0 Flash (via OpenRouter)
PDF parsing	PDF.js
DOCX parsing	Mammoth
Styling	Tailwind CSS

Quick Start

git clone https://github.com/nnish16/Monday2friday.git
cd Monday2friday
npm install
echo "GEMINI_API_KEY=your_key_here" > .env.local
npm run dev

Open http://localhost:5173 and upload your resume.

How It Works

Upload Resume (PDF/DOCX/text)
        │
        ▼
┌───────────────────┐
│   Parse Document  │  ← Mammoth (DOCX) / PDF.js (PDF)
└───────┬───────────┘
        │
        ▼
┌───────────────────┐
│  Health Score +   │  ← Gemini structured JSON output
│  Red Flag Scan    │
└───────┬───────────┘
        │
        ▼
┌───────────────────┐
│  AVCR Analysis    │  ← Per-bullet scoring + rewrite options
│  (per bullet)     │
└───────┬───────────┘
        │
        ▼
┌───────────────────┐
│  Summary + Skills │  ← Narrative optimization + gap analysis
│  Optimization     │
└───────────────────┘

Roadmap

• Export optimized resume as DOCX/PDF
• Job description comparison mode
• Persistent storage (save sessions)
• A/B test different resume versions
• LinkedIn profile optimizer

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT — Nishant Sarang