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https://github.com/dadvaiahpavan/cold_email_generater
A sophisticated application that leverages AI to generate personalized and effective cold emails for job applications and professional networking. Built with Streamlit and powered by Groq's LLM API.
https://github.com/dadvaiahpavan/cold_email_generater
Last synced: 23 days ago
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A sophisticated application that leverages AI to generate personalized and effective cold emails for job applications and professional networking. Built with Streamlit and powered by Groq's LLM API.
- Host: GitHub
- URL: https://github.com/dadvaiahpavan/cold_email_generater
- Owner: DadvaiahPavan
- License: mit
- Created: 2024-12-17T13:01:10.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-17T13:05:34.000Z (about 1 month ago)
- Last Synced: 2024-12-17T13:36:49.851Z (about 1 month ago)
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AI-Powered Cold Email Generator 📧
A sophisticated application that leverages AI to generate personalized and effective cold emails for job applications and professional networking. Built with Streamlit and powered by Groq's LLM API.
## 🌟 Features
- **Smart Resume Parsing**: Automatically extracts key information from resumes in various formats (PDF, DOCX, TXT)
- **Job Description Analysis**: Processes job descriptions from URLs or direct text input
- **AI-Powered Email Generation**: Creates personalized emails using advanced LLM technology
- **Email Compliance Checking**: Ensures emails are professional and bias-free
- **Performance Analytics**: Track and analyze email performance metrics
- **Advanced Features**:
- Skill extraction and matching
- Data anonymization
- Email format validation
- Integration capabilities with LinkedIn and Slack
## 🚀 Getting Started
### Prerequisites
- Python 3.8+
- Groq API Key
### Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/project-genai-cold-email-generator.git
cd project-genai-cold-email-generator
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Create a `.env` file in the app directory:
```bash
GROQ_API_KEY=your_groq_api_key_here
```
### Running the Application
```bash
streamlit run app/main.py
```
## 🛠️ Tech Stack
- **Frontend**: Streamlit
- **AI/ML**:
- Groq LLM API
- LangChain
- Transformers
- spaCy & NLTK
- **Document Processing**:
- PyPDF2
- python-docx
- pytesseract
- **Data Analysis**:
- pandas
- scikit-learn
- plotly
## 📝 Usage
1. **Upload Resume**: Support for PDF, DOCX, and TXT formats
2. **Input Job Details**: Paste job description or provide URL
3. **Customize Email**:
- Add recipient name and company
- Choose email tone
- Set additional preferences
4. **Generate & Review**: Get AI-generated email with compliance check
5. **Track Performance**: Monitor email effectiveness metrics
## 🔒 Security Features
- Secure API key handling
- Data anonymization capabilities
- Email content compliance checking
- Input validation and sanitization
## 📊 Advanced Analytics
- Email performance tracking
- Engagement metrics
- Success rate analysis
- Visual analytics with Plotly
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📄 License
This project is licensed under the MIT License - [MIT License](LICENSE)
## ⚠️ Important Notes
- Ensure your Groq API key is properly configured
- Keep your dependencies updated
- Review generated emails before sending
- Follow email best practices and compliance guidelines
## 🆘 Support
For support, please open an issue in the GitHub repository or contact the maintainers.