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Samar Maithani's Projects

-find-and-replace-in-string icon -find-and-replace-in-string

You are given a 0-indexed string s that you must perform k replacement operations on. The replacement operations are given as three 0-indexed parallel arrays, indices, sources, and targets, all of length k.

binary-tree-path icon binary-tree-path

Given the root of a binary tree, return all root-to-leaf paths in any order. A leaf is a node with no children.

imagerotation icon imagerotation

C++ program to rotate an image using openCV and Visual Studio

merge-k-sorted-lisk icon merge-k-sorted-lisk

You are given an array of k linked-lists lists, each linked-list is sorted in ascending order. Merge all the linked-lists into one sorted linked-list and return it.

oibsip icon oibsip

Oasis Infobyte Internship Tasks

old-car-price-predictor icon old-car-price-predictor

The Project aims to predict the price of an old and used car by taking it's details such as it's model name, manufacturing company, year of purchase and how much it is used.

predicting-pm-2.5-pollution icon predicting-pm-2.5-pollution

This project aims to predict the PM 2.5 Air Pollution using the suitable weather data which is readily available. To solve this problem, firstly, exploratory data analysis will be conducted on available weather and pollution datasets to discover the correlation between different features. After applying suitable data cleaning and pre-processing methods, the machine learning techniques such as classification and regression models will be applied.

rainwater-trapping-problem icon rainwater-trapping-problem

Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it can trap after raining.

sudoku icon sudoku

C++ program to make a Sudoku game

symbol-recognition-using-matlab icon symbol-recognition-using-matlab

We here proposed a system where symbol is recognized by the system, user will input symbol images system will apply algorithm to identify the symbol. Here in this system, we applied some image processing steps in order to work with images. We converted the RGB image into gray scale image. Image is converted into gray scale image to apply further image processing steps. Then gray scale image into black and white image, this is done due to accuracy. We had applied some image preprocessing steps in order to remove some unwanted objects and environmental interference. Here we store symbol templates in one directory each image will be of fixed size so that it would be easier to recognize correct symbol. These template images will be in black and white form. System will create dataset of these templates. User will provide query image system will resize the query image. System will finally compare the query image values and template image values in dataset and will display the result in text format. System will take image as an input and output the result in text format. In order to recognize the symbol, we had used the concept of Optical Character Recognition. System will provide result with 60%-80% accuracy.

unique-binary-search-trees icon unique-binary-search-trees

Given an integer n, return the number of structurally unique BST's (binary search trees) which has exactly n nodes of unique values from 1 to n.

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