https://github.com/subhashbs36/applicatorai
Applicator AI is an open-source job application assistant that leverages AI to generate personalized cover letters, optimize resumes, and craft professional communications. It simplifies the job application process with user-friendly tools designed to help you stand out to potential employers.
https://github.com/subhashbs36/applicatorai
ai automation gemini-api gradio job-board job-portal jobsearch latex llm prompt-tuning
Last synced: 4 months ago
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Applicator AI is an open-source job application assistant that leverages AI to generate personalized cover letters, optimize resumes, and craft professional communications. It simplifies the job application process with user-friendly tools designed to help you stand out to potential employers.
- Host: GitHub
- URL: https://github.com/subhashbs36/applicatorai
- Owner: subhashbs36
- License: mit
- Created: 2025-03-20T13:14:46.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-28T01:35:43.000Z (7 months ago)
- Last Synced: 2025-03-28T02:32:50.889Z (7 months ago)
- Topics: ai, automation, gemini-api, gradio, job-board, job-portal, jobsearch, latex, llm, prompt-tuning
- Language: Python
- Homepage:
- Size: 1.91 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ✨ Applicator AI ✨
Your AI-Powered Job Application Assistant
 [](https://github.com/subhashbs36/ApplicatorAI/issues) [](https://github.com/subhashbs36/ApplicatorAI/stargazers) [](https://github.com/subhashbs36/ApplicatorAI/blob/main/LICENSE)  [](https://github.com/subhashbs36/ApplicatorAI/blob/main/Dockerfile)
---
## 🌟 Overview
Applicator is an AI-powered job application assistant that simplifies and enhances the application process. Whether you're crafting a cover letter, optimizing your resume, or answering application questions, Applicator ensures that your application materials stand out.
### 💡 Why Use Applicator?
- **User-Friendly**: No prior experience needed.
- **AI-Generated Content**: Personalized cover letters and application responses.
- **Resume Optimization**: Tailor your resume to specific job descriptions.
- **Professional Communication**: Assistance with crafting outreach emails and messages.
- **Flexible Deployment**: Works in both local and Docker environments.
- **Open Source**: Fully accessible and customizable to help you land your dream job.
---
## ✨ Key Features
### ✅ **Cover Letter Generation**
- **Personalized Content**: Automatically generate cover letters tailored to your resume and specific job descriptions.
- **Highlight Relevant Skills**: Emphasize your most pertinent experiences and skills.
- **Downloadable Output**: Export your cover letters as PDFs for easy submission.
### ✅ **Application Q&A Assistant**
- **Precise Answers**: Generate accurate responses to job application questions.
- **Customizable Length**: Control response length with word limit settings.
- **Batch Processing**: Support for both single and multiple question processing.
### ✅ **Professional Outreach Tools**
- **Cold Emails**: Craft compelling introductory emails to potential employers.
- **LinkedIn Messages**: Generate connection requests and messages.
- **Referral Requests**: Create professional communications for referrals.
### ✅ **Resume Builder and Optimizer**
- **AI-Powered Optimization**: Enhance your resume sections using AI insights.
- **LaTeX Templates**: Utilize ATS-friendly LaTeX resume templates for a polished look.
- **Custom Templates**: Upload and work with your own resume templates.
- **Error Detection**: Automatically detect and fix errors in your resume.
- **Easy Export**: Export your resume as a PDF effortlessly.
### ✅ **Job Description Analysis**
- **Key Information Extraction**: Analyze job postings to extract essential details.
- **Skill Matching**: Automatically match your skills with job requirements.
- **Customization Insights**: Receive suggestions for tailoring your application.
### ✅ **AI Email Generator**
- **Professional Templates**: Access templates for various professional scenarios.
- **Context-Aware Content**: Generate emails that adapt to different contexts.
- **Flexible Use**: Suitable for diverse communication needs.
### ✅ **Web Scraping with Crawl4AI**
- **Job Data Extraction**: Utilize Crawl4AI to scrape job information from portals like LinkedIn and company websites.
- **Supported Platforms**:
- **LinkedIn**: Seamlessly extract job postings.
- **Company/Employer Portals**: Gather job data directly from company websites.
- **Under Development**:
- **Indeed**: Integration in progress.
- **Naukri**: Future support planned.
---
## 📋 Prerequisites
### 🖥 **System Requirements**
- **Operating Systems**: Windows, macOS, Linux
- **Python**: Version 3.12 or higher
- **pip**: Python package manager
- **MikTeX**: Required for LaTeX resume generation
### 🔧 **Installing MikTeX**
To enable LaTeX-based resume generation, install MikTeX:
- **Windows/macOS/Linux**: Download from [MikTeX Official Site](https://miktex.org/download) and follow the installation instructions.
### 🔑 **Obtaining a Free GEMINI API Key**
1. **Visit**: [Google AI Studio](https://aistudio.google.com/)
2. **Sign In**: Use your Google account.
3. **Generate API Key**: Follow the prompts to obtain your free API key.
4. **Configure Environment**: Add the API key to the `.env` file:
```
GEMINI_API_KEY=your_gemini_api_key
```
---
## 🔧 Installation Guide
### 📌 Option 1: Install Manually
1. **Clone the repository**
```bash
git clone https://github.com/subhashbs36/ApplicatorAI.git
cd ApplicatorAI
```
2. **Create a virtual environment**
```bash
python3.12 -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. **Install dependencies**
```bash
pip install -r requirements.txt
```
4. **Set up environment variables**
- Create a `.env` file in the project root
- Add necessary API keys as described above
5. **Run the application**
```bash
python app.py
```
6. **Access the web interface**
Open `http://localhost:7860` in your browser.
### 📌 Option 2: Install Using Docker
1. **Install Docker & Docker Compose**
2. **Clone the repository**
```bash
git clone https://github.com/subhashbs36/ApplicatorAI.git
cd ApplicatorAI
```
3. **Set up the environment file**
```
GEMINI_API_KEY=your_gemini_api_key
```
4. **Build and run with Docker Compose**
```bash
docker-compose up -d
```
---
## 🎬 Demo & Sample Outputs
### 📱 Live Demo
Experience Applicator AI in action:
- **Web Interface**: Live Demo - Coming Soon
### 🎥 Video Demo
Watch a video demonstration of Applicator AI:
### 📊 Sample Outputs
#### 🏠 Home Screen
*The main interface of Applicator AI with all features accessible in one place*
#### 📝 Cover Letter Generation
*AI-powered cover letter generation tailored to your resume and job description*
*Professional PDF output ready for submission*
#### 📄 Resume Builder & Optimizer
*Create and customize your resume with AI assistance*
*Optimized resume output that highlights your relevant skills and experience*
#### ❓ Application Q&A Assistant
*Generate precise answers to individual application questions*
*Process multiple application questions simultaneously*
#### 📧 Professional Outreach Tools
*Craft compelling introductory emails to potential employers*
*Create personalized LinkedIn connection requests and messages*
*Generate professional communications for referrals*
*Create context-aware professional emails for various scenarios*
---
## 🛡️ Performance and Limitations
### 🤖 AI Capabilities
- Generates contextually relevant cover letters and application responses
- Adapts to various job descriptions and industries
- Provides professional, grammatically correct content
### ⚠️ Important Limitations
- AI-generated content should always be reviewed and personalized
- May not capture extremely nuanced or highly specialized job requirements
- Effectiveness varies based on input quality and job complexity
- Not a substitute for personal storytelling and human touch
### 🔒 Privacy and Data Handling
#### 🛡 Data Protection Principles
- **Local Processing**: All content generation happens locally
- **No Data Storage**: Job descriptions and personal information are not retained
- **API Security**: Gemini API interactions follow strict privacy protocols
- **User Control**: You have complete control over generated content
#### 🌐 API Key Management
- API keys are stored securely in the `.env` file
- Never commit API keys to version control
- Recommended to use environment variable management tools
---
## 🚀 Upcoming Features
We're actively developing these exciting enhancements:
### 🔄 In Development
- **Automated Job Application Filler**: Streamline your application process with MCP Server technology that auto-fills application forms across multiple platforms
- **Crawler Enhancement**: Expanding job scraping capabilities to include Indeed and Naukri platforms
- **File Management System**: Centralized system to organize and manage all generated and saved files generated and saved files
### 🔮 On Our Roadmap
- **AI Interview Preparation**: Practice with simulated interview questions tailored to your target roles
- **Application Tracking System**: Manage all your job applications in one centralized dashboard
### 🤝 Community-Requested
- **Collaborative Editing**: Share and receive feedback on your application materials
- **Industry-Specific Templates**: Specialized templates for tech, healthcare, finance, and more
Have a feature suggestion? Join our **[Discord Server](https://discord.gg/7GHv9Gf2Xp)** to discuss ideas, report issues, or contribute to development!
---
## 👥 Contributing
We welcome contributions from everyone! Follow these steps to contribute:
1. **Fork the repository**
2. **Create a feature branch** (`git checkout -b feature/your-feature`)
3. **Make your changes and commit** (`git commit -m 'Add new feature'`)
4. **Push to GitHub** (`git push origin feature/your-feature`)
5. **Open a pull request**
**Contribution Guidelines:**
- Maintain clean and readable code (PEP 8 for Python)
- Add comments and documentation
- Ensure new features are well-tested
---
## 📄 License
This project is licensed under the Apache License. See the [LICENSE](LICENSE) file for details.
---
## 🙏 Acknowledgments
- [Google Gemini](https://gemini.google.com) for AI capabilities
- [Gradio](https://www.gradio.app/) for the web interface
- Open-source community for their support
---
## 👨💻 Project Maintainers
This project is actively maintained by:
### Subhash BS
- **GitHub**: [subhashbs36](https://github.com/subhashbs36)
- **LinkedIn**: [Subhash BS](https://www.linkedin.com/in/subhash-bs/)
- **Email**: subhashbs36@gmail.com
### Vijay Ram
- **GitHub**: [VjayRam](https://github.com/VjayRam)
- **LinkedIn**: [Vijay Ram](https://www.linkedin.com/in/vijay-ram-enaganti/)
- **Email**: venag001@ucr.edu
Feel free to reach out to either of us with questions, feedback, or collaboration opportunities! or **[Discord Server](https://discord.gg/7GHv9Gf2Xp)**
---
## 💖 Support the Project
If you find this project helpful, consider supporting its development:
[](https://www.buymeacoffee.com/subhashbs)
---
**Made with ❤️ by Subhash**