aleezeh611's Stars
nameirarana/MovieMicroservice
sanaa-khan/distributed-password-cracker
Applying brute force passwords cracking techniques with a twist - using OpenMP and MPICH to distribute the tasks in a clustered computing environment.
aleezeh611/Exam-Scheduler-Using-Genetic-Algorithm-In-Python
HxnDev/Graphical-Password-Authentication-System
Graphical Password Authentication System. This is used to increase the protection/security of a website. Our system is divided into further 4 layers of protection. Each layer is totally different and diverse than the others. This not only increases protection, but also makes sure that no non-human can log in to your account using different activities such as Brute Force Algorithm and so on.
sanaa-khan/n-queens-with-local-search
Classic N-Queens problem, solved using local search algorithms hill climbing and simulated annealing. Perfect solution not guaranteed :)
HxnDev/HxnDev
AntonMu/TrainYourOwnYOLO
Train a state-of-the-art yolov3 object detector from scratch!
sanaa-khan/classification-with-kmeans-and-knn-
A python implementation of the k-means clustering algorithm and the k-nearest-neighbours classification algorithm.
Rohan-Chaudhury/RFID-Smart-Card-using-Raspberry-Pi
Implementation of RFID Smart Card using Raspberry Pi 3
danthareja/contribute-to-open-source
[STILL ACTIVE] Learn the GitHub workflow by contributing code in a fun simulation project
Areesha-Tahir/Hadoop-MapReduce-To-Find-Average-Length-Of-Comments
A MapReduce program to calculate the average length of comments.
Areesha-Tahir/Hadoop-MapReduce-Sentiment-Analysis-Through-Keywords
A MapReduce program to conduct sentiment analysis of a keyword from a list of comments.
Areesha-Tahir/K-Means-And-KNN-On-MultiClass-Dataset
Applying K Means and KNN on a multiclass dataset to make clusters and find nearest neighbours.
Areesha-Tahir/chess-game-using-GBFS-Algorithm
Beginner Level Chess Game implementing Greedy Best First Search Algorithm using an intelligent evaluation score as heauristic
Areesha-Tahir/Air-Plane-Flight-Management-System-Using-Dijkstra-Algorithm
Air Plane Flight Management System implementing Data Structures Concepts and utilizing Dijkstra's Algorithm
Areesha-Tahir/Fake-News-Detection-Using-Naive-Bayes
Fake news detection using Naïve Bayes in Python along with confusion matrix calculated using sklearn.
Areesha-Tahir/AES-Algorithm
HxnDev/CISCO-Packet-Tracer---Design-A-Complete-Network-With-All-Routing-Protocols-And-Servers
I had to design a complete network in CISCO Packet Tracer using every routing protocols (RIP, OSPF, EIGRP) and every type of server (DHCP, TFTP, Web Server and Data Server).
HxnDev/Finding-Optimal-Path-of-Map-of-Romania-Using-A-Star
A* is a graph traversal and path search algorithm, which is often used in many fields of computer science due to its completeness, optimality, and optimal efficiency
HxnDev/8-Queen-Problem-Solver-in-Python
The 8-queens problems asks us to place 8 queens on a chessboard so that no two can capture one another; that is, no two are on the same row, column, or diagonal.
HxnDev/Implementing-Knapsack-Algorithm
The knapsack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible
HxnDev/Exam-Schedling-using-Backtracking-Algorithm
Backtracking is a general algorithm for finding solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate as soon as it determines that the candidate cannot possibly be completed to a valid solution.
HxnDev/AI-Based-Tic-Tac-Toe-Game-using-Minimax
In this task, i implemented an AI based Tic Tac Toe Game using Minimax algorithm.
HxnDev/Implementing-Linear-Regression-in-Python
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y)
HxnDev/Calculating-Entropy-of-IRIS-Dataset
This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.
HxnDev/K-Means-on-IRIS-Dataset
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
HxnDev/Searching-a-Number-among-Slave-Processes-using-OpenMP-and-MPI
In this task, I wrote the code using both OpenMP and MPI inorder to parallelize it. What it does is that the master process distributes a chunk of number equally among the slave processes. Each slave process then searches for the number to find. When one slave process finds the number, it sends a message to the master process who then sends a "terminating message" to the slave processes who then abort their search.
HxnDev/Implementing-a-DNS-Server
DNS stands for Domain Name System. We have implemented DNS in this project. The basic task of DNS is to resolve a destination name hosted against some IP Address.
HxnDev/Dependency-Analysis-and-Speedup
In this task, we were given some code snippets and we had to calculate the Dependencies in the code and if resolveable, we needed to re-write the code to remove any sort of dependencies. Furthermore, we had to calculate the speedup graphs too.
HxnDev/Hadoop-MapReduce-to-Find-Average-Length-of-Comments
In this task, we had to find the average length of comments given in the dataset. It was done using Hadoop MapReduce and Hadoop HDFS.