CareerBoost AI

AI-powered job matching, cover letter writing, and resume optimization app built with React, TypeScript, and Google's Gemini AI.

Features

• 🎯 Smart Job Matching - AI analyzes your CV against job descriptions
• 📝 Cover Letter Generation - Creates personalized cover letters
• 🔧 Resume Optimization - ATS-friendly resume tailoring
• 💬 AI Career Advisor - Interactive chat for job application guidance
• 📄 Export Options - Download as PDF or DOCX

Setup

1. Clone the repository

   git clone https://github.com/yourusername/careerboost-ai.git
   cd careerboost-ai

2. Install dependencies

   npm install

3. Set up environment variables

   cp .env.example .env

   Edit .env and add your Gemini API key:

   VITE_GEMINI_API_KEY=your_gemini_api_key_here
   

4. Get your Gemini API key

   • Visit Google AI Studio
   • Create a new API key
   • Add it to your .env file

5. Start the development server

   npm run dev

Usage

1. Add your profile - Background, experience, and preferences
2. Add contact information - Name, email, location, etc.
3. Upload your CV - Paste text directly or upload PDF/Word file
4. Add job description - Paste the job posting
5. Get AI analysis - Job match recommendation and personalized advice
6. Generate documents - Cover letters and optimized resumes

Tech Stack

• Frontend: React 18, TypeScript, Tailwind CSS
• AI: Google Gemini 2.0 Flash
• File Processing: PDF.js, Mammoth.js
• Document Export: jsPDF, docx
• Build Tool: Vite

Project Structure

src/
├── components/          # React components
├── services/           # AI services and API calls
├── utils/              # Utility functions
├── types/              # TypeScript type definitions
└── config/             # Configuration files

Important Notes

⚠️ AI-Generated Content Disclaimer: All outputs are AI-generated and should be reviewed before use.

🔒 Privacy: Your data is processed locally and sent to Google's Gemini AI for analysis.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

License

MIT License - see LICENSE file for details