athlohangade/My-Shell

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1
Language
C
License
MIT License
Created over 4 years ago
Updated over 4 years ago

athlohangade/My-Shell

athlohangade

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This project is about implementation of a Unix-like shell

cryptography-algorithms

The repo is about simple implementation of various algorithms and techniques used in cryptography, namely Simplified DES, Simplified AES, RSA, Caesar Cipher, Monoalphabetic Cipher.

Order-Delivery-System

An order delivery system for products built using Flask (web app) and MySQL

minimum-edit-distance

The repo is about implementation of Wagner-Fischer algorithm for calculating Levenshtein distance between two strings.

qa-system-using-tl-legal-domain

A Question Answering System built for answering specific questions on Indian Legal Acts following the Transfer Learning approach.

Jupyter Notebook

scheduler-in-xv6

This project implements the lottery scheduler in xv6, a unix based operating system developed by MIT

computer-networks-assignments

This repo contains implementation of assignments covering some of the concepts related to computer networks

Assembly-Language-General-Programs

The repo consists of different programs like fibonacci, factorial, matrix operation, string manipulation implemented in assembly language using TASM.

search-algorithms-ai

This repo is about demonstration of various search techniques used in artificial intelligence

FILE-Library

The project is about implementation of file functions like fopen, fread as an interface for file handling in C. These functions are implemented using the concept of buffer for efficient working.

k-means-clustering

This repo is about simple implementation of K-Means clustering algorithm.

Jupyter Notebook

lseek-in-xv6

This project is about implementation of lseek system call in xv6, a unix based operating system developed by MIT

conversational-ai-bot

A conversational AI bot which provides ATM location data, some basic information about an organization and its offerings, and a seamless chat experience

Hand-Digit-Recognition

Trained a CNN model on the MNIST dataset, using tensorflow as backend and implmented a GUI for user to choose various options for predicting the result.