Author(s) :

Khushi Agrawal.

Volume/Issue :

Abstract :

The process of applying for internships on platforms like Intern-shala is often timeconsuming, repetitive, and prone to human error, especially for students managing multiple applications. This paper introduces Intern-shala Automation, a Python-based solution designed to streamline the internship application workflow. The tool leverages browser automation techniques using Selenium to auto-fill and submit internship applications based on user-defined preferences such as location, duration, and skill requirements. This project not only enhances efficiency and accuracy but also frees students from the monotony of manual submissions, enabling them to focus more on preparation and learning. The paper outlines the problem statement, proposed solution architecture, implementation, and performance outcomes. Future scope and ethical considerations are also discussed.

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