Medha Vijay Kulkarni (medha-kul)

medha-kul

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Location:Indianapolis, IN

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Medha Vijay Kulkarni 's repositories

BFS-finder

The purpose of this project is to implement Breadth-First Search for pathfinding on a square grid. The starting and ending points are fixed, and users can draw obstacles as yellow blocks. The program includes options to start BFS, go back to the previous move, and reset the grid.

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Calculator

The purpose of this project was to build a calculator using design patterns. Specifically, the project utilized design patterns: the Composite Pattern, Visitor Pattern, Command Factory, and Builder Pattern. These patterns were implemented to create a calculator that is modular, easy to modify, and extensible.

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Dictionary-Hashing

The purpose of this program is to read words from a text file, hash them, and insert them into a hash table for efficient searching. It also suggests other words in the same bucket if the searched word is found. The program uses a hashing class with collision resolution techniques to implement the hash table.

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Generator

The purpose of this project is to create a Test Input Generator for software programs. The generator will include four different types of input generators: Boundary Value Analysis, Worst-case Robustness, Weak Normal Equivalence Class, and Weak Robust Equivalence Class.

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medha-kul.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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Online-Store

The project aims to create a fault-tolerant online store in Java, accessible to both customers and administrators through different interfaces. It should allow customers to browse and purchase products, while enabling administrators to manage products, accounts, and administrators. Amazon, but on smaller scale and budget

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Unit-Testing

The purpose of this project is to generate test inputs using the Boundary Value Analysis (BVA) Input Generator, which will be used in conjunction with manually input test cases for the Triangle_Test and NextDate programs. The goal is to test the accuracy and reliability of the programs under various input conditions to identify concerns.

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