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pascalx/careerplus

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App README

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

CareerPulse AI - Smart Resume Assistant

CareerPulse AI is an advanced AI-powered web application that helps job seekers optimize their resumes, identify skill gaps, and prepare for interviews - all tailored to specific job descriptions and companies.

CareerPulse AI Screenshot

Features

  • —Resume Polishing: Get AI-powered suggestions to highlight relevant skills and remove distractions from your resume.
  • —Skill Gap Analysis: Identify missing skills for your target role and get advice on how to present your existing experience.
  • —Interview Preparation: Generate likely interview questions based on the job description and industry standards.
  • —Company Research: Automatically research companies to provide customized advice that aligns with their culture and values.
  • —Job Sentiment Analysis: Analyze job descriptions for tone and potential red flags to give you the full picture.
  • —PDF Download: Export your analysis results as a PDF for future reference.

Technology Stack

  • —Backend: Python with Flask
  • —AI: Google's Gemini AI (via google-generativeai SDK)
  • —Frontend: HTML, CSS, JavaScript
  • —Styling: Tailwind CSS
  • —Search API: Tavily API for web searches
  • —PDF Processing: PyPDF2 for extracting text from resumes

Prerequisites

  • —Python 3.8 or higher
  • —Google Gemini API key
  • —Tavily API key (for web search functionality)

Installation

  1. 1.Clone the repository:
   git clone https://github.com/yourusername/careerpulse-ai.git
   cd careerpulse-ai
  1. 1.Create a virtual environment:
   python -m venv venv
   source venv/bin/activate  # On Windows, use: venv\Scripts\activate
  1. 1.Install dependencies:
   pip install -r requirements.txt
  1. 1.Set up your environment variables by creating a .env file:
   GOOGLE_API_KEY="your_gemini_api_key_here"
   TAVILY_API_KEY="your_tavily_api_key_here"

Running the Application

  1. 1.Start the Flask server:
   python app.py
  1. 1.Open your browser and navigate to:
   http://localhost:5001

Using CareerPulse AI

  1. 1.Upload Your Resume: Submit your current resume in PDF format.
  2. 2.Enter Job Details: Paste the job description and specify the job title, company name, and industry.
  3. 3.Optional LinkedIn URL: For more comprehensive analysis, include your LinkedIn profile URL.
  4. 4.Get AI Analysis: Click "Start AI Analysis" to submit your information.
  5. 5.Review Results: Explore the analysis divided into tabs for resume suggestions, skill gaps, interview questions, and overall feedback.
  6. 6.Export Results: Download the analysis as a PDF for future reference.

Configuration Options

Gemini API

The application uses Google's Gemini API for AI analysis. You can configure different Gemini models by modifying the model_name variable in app.py.

Search Tool Options

The Tavily search API is used for web searches. You can adjust search settings by modifying the search_depth and max_results parameters in the perform_web_search function.

Project Structure

careerpulse-ai/
├── app.py                  # Main Flask application
├── requirements.txt        # Python dependencies
├── .env                    # Environment variables (API keys)
├── .gitignore              # Files/folders to ignore in Git
├── README.md               # Project documentation
├── templates/
│   └── index.html          # Main HTML page
└── static/
    ├── css/
    │   └── style.css       # Custom CSS styles
    └── js/
        └── script.js       # Frontend JavaScript

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments