Arjun M Y's repositories
arjungowda.github.io
personal website
ChainReaction
Two player board game to conquer maximum values in the board implemented using advanced algorithms- Greedy Best First Search, Minimax and Aplha Beta Pruning.
CS-VTU-Lab-Manual
Fossalized Lab Manual for CS.
CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
Font-Awesome
The iconic font and CSS toolkit
google-interview-university
A complete daily plan for studying to become a Google software engineer.
Inference-In-FOL
As mobiles, wearables and other tiny gadgets surround us more and more in ourday to day life, we are sharing more and more information with enterprises that provide us with their services. But what do we lose in return? How much control do we have on over our private information? These question seem simple to answer at the first glance. You share what you want to share. But, it’s not like that with the use of AI methods that can mine your shared data to infer your private non-shared personal information. In this assignment, we want to help users to find out what an enterprise can do with their data before giving permission to their applications to access that.We are going to implement a backward chaining system that gets the rules of data-mining and the abilities that an enterprise has at its disposal. Then it will help customers to find out if a certain type of personal information can be extracted by that enterprise if it gains access to another set of information about the user. You are given a knowledge base and a number of queries. Your job is to determine if the queries can be inferred from the knowledge base or not. You have to use backward chaining algorithm for solving this problem.
LockedHomeBeetSystem
Locked Home Beet System - A web application developed during my under graduate studies as Final Year Project.
PracticeProblems1
Basic algorithms and data structures problems solved with efficient time and space complexity in Java. Problems are from Cracking the Coding Interview and a few Geeksforgeeks.
WeatherForecastWebApplication
Interactive webpage with responsive design to display weather forecast information for the desired location. The search can be modified to retrieve relevant information based on user's choice of weather metrics. Used Google and Facebook APIs to integrate maps and to share weather details on user’s wall respectively. Server side scripting was done in PHP and the application was hosted on Amazon AWS Elastic Bean Server.