CareerCraft — Resume Evaluator & Job Match Assistant

CareerCraft is an AI-powered career enhancement platform designed to help job seekers optimize their resumes, evaluate job-fit, and generate tailored cover letters.
It uses modern AI, NLP, and web technologies to simulate real-world Applicant Tracking Systems (ATS) and hiring workflows.

The platform provides actionable insights that improve resume quality, skill alignment, and overall job readiness.

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🚀 Key Features

📝 Resume Analyzer (ATS Optimization)

• Upload PDF / DOCX resumes
• ATS-style scoring based on:
  • Keyword alignment
  • Resume structure & formatting
  • Readability
  • Section completeness
• Detailed improvement suggestions

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🎯 Skill Match & Job Fit Scoring

• Paste or select a target job description
• Get:
  • Job match percentage
  • Identified missing skills
  • Role-specific improvement tips
• Personalized upskilling recommendations with learning resources

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✍️ AI Cover Letter Generator

• Generates professionally tailored cover letters
• Uses:
  • Resume content
  • Job description insights
• Supports tone customization:
  • Formal
  • Confident
  • Friendly
• One-click PDF export

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📊 User Dashboard & History Tracking

• Secure user authentication
• Store:
  • Resumes
  • Generated cover letters
  • Job match results
• Track progress across multiple applications
• Manage multiple resume versions

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🧠 System Architecture

CareerCraft follows a microservice-based architecture:

CareerCraft/ ├── frontend/ # User Interface (Next.js)
├── backend/ # API & Authentication (Node.js / Express)
└── ml-service/ # AI & NLP Engine (FastAPI)

Architecture Flow

Frontend → Backend → ML Service → Backend → Frontend

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🛠️ Tech Stack

Frontend

• Next.js
• Tailwind CSS
• Axios

Backend

• Node.js
• Express.js
• MongoDB
• JWT Authentication

ML Service

• Python
• FastAPI
• NLP-based keyword & role matching
• Rule-based + AI-expandable models

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⚙️ Setup & Installation

1️⃣ Clone the Repository

git clone https://github.com/your-username/CareerCraft.git
cd CareerCraft

2️⃣ Start ML Service

cd ml-service
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
uvicorn main:app --reload --port 8001

3️⃣ Start Backend

cd backend
npm install
npm run dev

4️⃣ Start Frontend

cd frontend
npm install
npm run dev

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👨‍💻 Contributors

See CONTRIBUTORS for the full list of contributors.

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📄 License

This project is licensed under the MIT License.

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⭐ Acknowledgements

Inspired by real-world ATS systems and modern hiring workflows.
Built for learning, experimentation, and real-world impact.