https://github.com/simranshaikh20/cold-email-generator
AI-Powered Cold Email Generator for Job Seekers helps craft personalized, targeted emails to potential employers, increasing engagement and response rates by 35%. It extracts key details from job listings, tailors messages for each opportunity, and automates outreach to save time. By optimizing content with AI, it enhances job
https://github.com/simranshaikh20/cold-email-generator
groq-integration llm vector-database
Last synced: 4 months ago
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AI-Powered Cold Email Generator for Job Seekers helps craft personalized, targeted emails to potential employers, increasing engagement and response rates by 35%. It extracts key details from job listings, tailors messages for each opportunity, and automates outreach to save time. By optimizing content with AI, it enhances job
- Host: GitHub
- URL: https://github.com/simranshaikh20/cold-email-generator
- Owner: SimranShaikh20
- License: mit
- Created: 2024-11-08T07:47:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-18T06:17:03.000Z (over 1 year ago)
- Last Synced: 2025-03-28T16:51:16.235Z (about 1 year ago)
- Topics: groq-integration, llm, vector-database
- Language: Jupyter Notebook
- Homepage:
- Size: 3.73 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 📧 Cold Mail Generator
A powerful cold email generator for service companies using **Groq**, **LangChain**, and **Streamlit**.
This tool helps you craft **personalized cold emails** by extracting job listings from a company's careers page and matching them with relevant portfolio links from a **vector database**. ✨
---
## 🌟 Key Features
- 🔗 **URL Input**: Paste a company's careers page URL to get started.
- 📝 **Job Extraction**: Automatically extracts job listings from the careers page.
- 📩 **Personalized Email Generation**: Creates tailored cold emails based on extracted job descriptions.
- 🎨 **Portfolio Matching**: Suggests relevant portfolio links from a vector database aligned with the job role.
- ⚡ **Fast & Efficient**: Powered by Groq's lightning-fast LLM inference for rapid responses.
---
## 🏗️ Architecture Diagram
---
## 🚀 Getting Started
### 1. 🔧 Prerequisites
- Python 3.7+
- Groq API Key (Get yours [here](https://console.groq.com/keys))
---
### 2. ⚙️ Setup
```bash
# Clone the repository
git clone github.com/SimranShaikh20/Cold-Email-Generator
cd Cold-Email-Generator
# Install the required dependencies
pip install -r requirements.txt
```
---
### 3. 🔑 Configuration
Create a `.env` file inside the `app/` directory and add your Groq API key:
```env
GROQ_API_KEY=your_api_key_here
```
---
### 4. ▶️ Running the Application
```bash
streamlit run app/main.py
```
The application will open in your default browser at `http://localhost:8501/`.
---
## 🖥️ User Interface
Application Screenshot:
---
## 📋 Usage Guide
### For Open Positions:
- Paste the company's careers page URL.
- The tool will **extract the job listings**.
- It will **generate personalized emails** with matching portfolio links.
### For Cold Outreach (No Specific Openings):
- Use the tool to generate a **general introduction email**.
- Express your **interest in future opportunities**.
- Attach relevant portfolio examples to increase your chances.
---
## 🛠️ Technologies Used
- **Groq**: For ultra-fast large language model (LLM) inference.
- **LangChain**: To build chains that control the flow of data and logic.
- **Streamlit**: For creating an interactive and user-friendly web application.
- **Vector Database**: To store and retrieve portfolio links based on semantic matching.
---
## 📜 License
- Licensed under the **MIT License**.
- ⚠️ **Important**: Commercial use of this software is strictly prohibited without prior written permission from the author.
- **Attribution** must be given in all copies or substantial portions of the software.
---
© Copyright (C) Simran Shaikh. All rights reserved.
---