Jobs Tools

Automate and streamline your job search with a suite of tools designed for LinkedIn outreach, email campaigns, resume organization, and network management. Enhance your efficiency, keep your applications organized, and maintain a professional online presence with ease.

Digital Marketing & SEOPythonMIT

Abstract

Jobs Tools is an open-source Digital Marketing & SEO project. Automate and streamline your job search with a suite of tools designed for LinkedIn outreach, email campaigns, resume organization, and network management. Enhance your efficiency, keep your applications organized, and maintain a professional online presence with ease. A comprehensive, well-organized collection of tools to supercharge your job search. Features automated LinkedIn outreach, AI-powered email campaigns, resume management, and H1B visa sponsorship research. It is built using Python. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.

1. Introduction

A comprehensive, well-organized collection of tools to supercharge your job search. Features automated LinkedIn outreach, AI-powered email campaigns, resume management, and H1B visa sponsorship research.

2. Objective

Automate and streamline your job search with a suite of tools designed for LinkedIn outreach, email campaigns, resume organization, and network management. Enhance your efficiency, keep your applications organized, and maintain a professional online presence with ease.

This project demonstrates how Python can be applied to a real-world Digital Marketing & SEO problem.

4. Technology Stack

Python

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Python 3.8 or later
  • pip / virtualenv for dependencies
  • VS Code, PyCharm or Jupyter Notebook
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/praneethravuri/jobs-tools.git
cd jobs-tools
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .
GMAIL_APP_PASSWORD=your_gmail_app_password
EMAIL_FROM=your_email@gmail.com

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Export reports to Google Sheets or PDF
  • Schedule weekly automated reports
  • Add competitor comparison

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which marketing or SEO problem does this tool solve?
  2. Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
  3. Which metrics or KPIs does it report and how are they calculated?
  4. How could the output help a business make decisions?
  5. How would you schedule it to run automatically?

9. Source Code & License

This project is developed by praneethravuri and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.

View Source on GitHubDownload ZIP

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