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5551_ase_assignments

This repository contains the assignments for ASE.

cs5560-revanthchakilam-labsubmission

This repository contains the Lab assignments for the KDM course CS5560

cs5560_kdm_ps

This rep contains the problem sets solved in the CS5560 - KDM course

cs5590_python

This repository contains all the programming/assignments/exercises performed as part of CS5590_python&deep Learning course

cs5592_coursematchingsystem

Implemented an algorithm that finds the best allocations for all professors and courses. The algorithm will find the best professors for courses based on the course content and the expertise of the professor.

deeplearning

This repo contains the lab assignments related to deep learning

hackathon_project

This repository contains the Goparking web application which was bulit on Mean stack as part of the UMKC hackathon spring 2017

hackathonfall17_hackathontool

Online Hackathon tool is an online web application portal where user can register and submit their project and access essential information related to hackathon on any device. --> Teams can register themselves through TypeForm, which is a unique and new way of capturing data. --> Singe Page Device agnostic application developed on MEAN Stack and Type Form. --> Application triggers an email notification to user on successful submission. --> Organizers, Judges and Peer Team members can view registered and submitted team data through this tool and can easily evaluate from there. --> One Stop Shop for all the information related to Hackathon like Use Cases, Rules, Judging criteria, Sponsors etc., --> Easily accessible on any device and browsers.

hackathonspring17_parkingreservation

GO Parking is a online parking reservation web application developed on MEAN stack. It helps users to find the right parking area and reserve it. The application provides user registration form for user to sign into the application. User can take the benefit of Facebook or Google O Auth to validate himself/herself into the application. User can find the right parking location by entering the address/landmark/city. Using the information, the application makes a REST API service call to ParkWhiz api to fetch the parking details. The results are shown in two views for better user experience. The parking locations are shown on Google Maps as well as List View. User can then select any one parking location which shows the parking layout of the building. The user gets to choose from any available parking slots to proceed further to reserve the spot. The parking details like Location Name, Location Address, Price, From Time, To Time and vehicle registration number are taken to make a reservation. The details are then pushed into mongoDB and an email confirmation is trigerred from nodejs which is sent to registered emailid. The application also provides feature for the user to delete his reservation or user account. This can be accessed from 'My Account' page of the application. Technologies Used: 1. MEAN stack 2. Google Maps API 3. Bootstrap, jQuery 5. Amazon Web services

hello-world

kdm_project

principles-of-big-data-and-management

project-fitness-chef

Team 1 - Innovators: Project repository

spring-web-services

Spring Web Services - SOAP and RESTful

springboot_apps

This repo contains the applications developed using Springboot

the-technical-interview-cheat-sheet

Technical interview cheat sheet