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Usama Ijaz's Projects

constraint-satisfaction-problem-solver icon constraint-satisfaction-problem-solver

Constraint Satisfaction Engine and demonstrating it on a number of constraint satisfaction problems (CSPs) namely, Australia color Map problem, Job Scheduling, n-Queen problem, and Y=X^2

examples icon examples

Small examples that illustrate how to use Daffodil/DFDL

high-efficiency-version-control-system icon high-efficiency-version-control-system

Highly efficient protocol for file syncing via web sockets over low bandwidth networks. Allows authorized clients to push changes to the main server. Used Merkle Trees to fingerprint file directories in as few bytes as possible.

image-classification-of-street-view-house-numbers icon image-classification-of-street-view-house-numbers

Used Python to implement the forward pass and back-propogation for 4 convolutional-pooling layers. Trained the convolutional neural network on 5500 images of street view house numbers and achieved a 76% accuracy

intelligent-checkers icon intelligent-checkers

An AI program namely, Checkers, that plays a game against human or computer opponents. Interestingly it has the ability to beat good players in checkers.

list-of-depths icon list-of-depths

Given a binary tree, the algorithm creates a linked list of all the nodes at each depth (e.g., if you have a tree with depth D, you'll have D linked lists).

professional-services icon professional-services

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

relational-database-system icon relational-database-system

A database system, like SQLite or MySQL, which allows you to represent any database schema. Used relational algebra to implement the database system.

smart-icu icon smart-icu

Given patients vitals and symptoms the neural network predicts the diagnosis of the patient with an accuracy of 63%

streetmapping icon streetmapping

Given a data set representing the roads and intersections in a specific geographic region, the program plots a map of the data and provide shortest path directions between any two arbitrary intersections using Dijkstra’s algorithm.

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