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A web-based application that helps service-based companies generate personalized cold emails for client outreach efficiently.

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📧 Cold Email Generator Web App

Overview

The Cold Email Generator is a Python-based web application utilizing the Llama LLM model. It is specifically designed for service-based companies seeking to generate customized cold emails for contract job postings.

Problem Statement

Service-based companies often need to reach out to multiple organizations for contract roles, which can be time-consuming. This app streamlines the process of creating personalized cold emails, enabling companies to efficiently respond to numerous job postings daily.

Features

  • Automated Cold Email Generation: Input a job post URL, and the app generates tailored cold emails.
  • Custom Tech Stack and Portfolio: Users can input their tech stack and portfolio dataset to ensure relevance in email outreach.
  • User-Friendly Interface: Simple and intuitive design for easy navigation.

How It Works

  • Setup: Companies can input their tech stack and portfolio links into the app.
  • Job Posting URL: Enter the URL of the job post for which you want to generate a cold email.
  • Email Generation: Submit the URL, and the app will generate a cold email tailored to the job post.
  • Customization: Users can further curate the generated email before sending it.

Sample Dataset

For testing purposes, the app includes a sample dataset from the company CronAi, featuring its tech stack and portfolio links.

Technologies Used

  • Python
  • Pandas
  • Streamlit
  • LangChain
  • WebBaseLoader
  • Meta Llama 3.1 70b LLM Model

Getting Started

  1. Clone the repository:
    git clone https://github.com/mShubham18/Cold-Email_Generator.git
    cd <your-cloned-repository-directory>
  2. Install required packages:
    pip install -r app/requirements.txt
  3. Run the app:
    streamlit run app/app.py

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A web-based application that helps service-based companies generate personalized cold emails for client outreach efficiently.

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