🌍 Project Proposal: Globally Adaptive GitHub Resume Generator

[SauravBhowmick]

🌍 Project Proposal: Globally Adaptive GitHub Resume Generator

🎯 Goal

We’re building a smart, globally aware resume generator that automatically adapts to different countries’ resume conventions, formatting rules, and professional standards. The idea is to move beyond a generic Markdown export — and instead, generate region-specific, ATS-friendly, and culturally aligned resumes with minimal manual effort.

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💡 Why This Matters

Resume formats and content expectations vary widely between regions.
For example:

• 🇺🇸 US resumes avoid personal details (photo, DOB) and focus on achievements.
• 🇪🇺 European (EU/UK) resumes often prioritize structured sections and use “Education” before “Experience.”
• 🇮🇳 Indian resumes frequently include personal info, address, and sometimes a photo.
• 🇩🇪 German resumes may include a professional photo and personal statement.

Our tool will intelligently adapt to each country’s rules and layout conventions — letting users instantly generate compliant, polished resumes for any region.

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🧩 Key Features & Roadmap

Phase 1: Foundation Upgrade

• Modular Markdown Templates
  Separate templates for different regions (resume_us.md, resume_eu.md, etc.), dynamically selected based on user input or detected location.
• Backend Template Rendering (Python)
  Use Jinja2 in Flask/FastAPI to fill in user data and generate markdown or other formats.
• Frontend Enhancement
  Add a “Select Country” dropdown and clean up UI transitions, with country-specific placeholders and hints.

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Phase 2: Localization & Compliance

• Resume Rules Database
  JSON config defining what each region requires (e.g., include photo = true/false, order of sections).
• Language Localization
  Translated section headers (e.g., “Education” → “Ausbildung” for Germany).
• ATS Optimization Mode
  Toggle to produce simple, keyword-rich resumes optimized for Applicant Tracking Systems.

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Phase 3: Personalization & Intelligence

• GitHub Integration
  Automatically fetch top repositories, skills, and project descriptions using the GitHub API.
• AI-Powered Resume Writing
  Use LLM APIs to auto-generate a professional summary and rephrase experience bullets for tone and clarity.
• Validation System
  Check for missing sections, excessive wordiness, or formatting issues, and give country-specific tips.

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Phase 4: Export & Deployment

• Multiple Export Formats: .md, .pdf, .docx, .json.

• API Endpoint: /generate_resume so other tools or Node-RED flows can use the generator programmatically.

• Cloud Deployment:

  • Backend → Render/Railway/AWS Lambda
  • Frontend → GitHub Pages or Vercel
  • Storage → PostgreSQL or Supabase

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🔐 Privacy & Compliance

• No data storage without explicit consent.
• GDPR-compliant handling for EU users.
• Option for users to instantly delete their data.

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⚙️ Example Workflow

1. User selects “Germany” → system loads resume_germany.md rules (photo=true, date format=DD.MM.YYYY).
2. They fill the form or connect GitHub.
3. Backend fills in the Jinja2 template with proper structure and localized labels.
4. Output: Clean, compliant, ATS-ready Markdown or PDF resume.

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🧠 Outcome

This turns the current GitHub Resume Generator into a global resume engine that’s:

• Region-aware
• Language-adaptive
• AI-assisted
• Ready for professional and ATS use everywhere

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[SauravBhowmick]

Advance Workflow to include new tech, @yuguwduewgd , @DMS-Menula , @nandakumar2806 :