Automating Job Application Across Various Platforms

• Automated the job application process to save time and effort for job seekers, enabling them to apply to more positions efficiently.
• Utilized Python for scripting and GitHub for version control.
• Developed the front-end using HTML, Bootstrap, and React.js.
• Implemented the back-end with the Django framework.
• Leveraged Selenium WebDriver for automating web interactions.
• Employed a Relational Database Management System (RDBMS) for data storage.
• Pre-filled job application forms using stored user data to ensure consistency and accuracy.
• Automated the submission process for job applications across multiple platforms.
• Contributed to the development of cloud-native applications using Kubernetes and Docker, enhancing platform scalability and performance.
• Worked on automating machine learning workflows using MLOps frameworks, significantly reducing model deployment times.

You can learn more at the GitHub