interviewprep

A YearOne interview prep open-source project. Provide an interview prep resource by opening a pull request!

A personal repository for practicing Data Structures and Algorithms (DSA). It includes problem solutions, reusable algorithm templates, and notes to strengthen understanding. The goal is consistent practice, progressive milestones, and building a solid foundation for interviews and competitive programming.

🧞‍♂️ AI-powered Model Context Protocol (MCP) server for autonomous desktop control, intelligent job application form filling, local application tracking, and AI mock interview preparation.

A general guide to help students prepare properly for interviews. This is open-source, feel free to add any code examples, tips, or information that you'd like. If you do contribute, please add your name to LICENSE as an author.

This repository contains my solutions to practice technical interview questions from top tech companies. I am using this challenge as an opportunity to improve my skills and work towards achieving my goals.

Algorithmic solutions in Python, covering Pascal's Triangle, lockboxes, minimum operations, log parsing, UTF-8 validation, N Queens, Star Wars API, matrix rotation, making change, island perimeter, and Prime Game. Ideal for developing problem-solving skills for technical interviews.