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: 6 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 (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-18T06:17:03.000Z (10 months ago)
- Last Synced: 2025-03-28T16:51:16.235Z (6 months 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
Cold email generator for services company using groq, langchain and streamlit. It allows users to input the URL of a company's careers page. The tool then extracts job listings from that page and generates personalized cold emails. These emails include relevant portfolio links sourced from a vector database, based on the specific job descriptions.
**Imagine a scenario:**
- For a "cold email" (reaching out to a company without an open job listing), your goal is to introduce yourself and express interest in future opportunities.
## Architecture Diagram
## Set-up
1. To get started we first need to get an API_KEY from here: https://console.groq.com/keys. Inside `app/.env` update the value of `GROQ_API_KEY` with the API_KEY you created.
2. To get started, first install the dependencies using:
```commandline
pip install -r requirements.txt
```
3. Run the streamlit app:
```commandline
streamlit run app/main.py
```
Copyright (C) Simran Shaikh. All rights reserved.
**Additional Terms:**
This software is licensed under the MIT License. However, 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.