banta/R-pesaPi

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MIT License
Created over 12 years ago
Updated over 13 years ago

banta/R-pesaPi

banta

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ruby version of pesaPi

Cancer-KBS_

Cancer Knowledge based system is used for diagnosis of various types of cancers and getting information on supported types of cancers. It currently supports 10 types of common cancers suspected to be among the major types.

epuka

Epuka is a disease reporting system.

mpesa_bookstore

This project deals with developing an e-commerce website for Online Bookstore. It provides the user with a catalog of different books organized into categories available for purchase in the store. In order to facilitate online purchase a shopping cart is provided to the user. The payment mode of this system is through M-pesa where a customer receives an invoice through SMS and then pays using M-pesa. After the order has been processed the customer is notified through SMS and when the books will be delivered. Since the customers will not always be shopping for the books the project will also deal with the development of a module within the system to allow users to upload and share non copy written materials for free. The system is implemented using a 3-tier approach, with a backend database, a middle tier of Ruby on Rails and Ozeki SMS Server and a web browser as the front end client. The project objective is to develop a website where a customer can shop for books and pay with M-pesa and upload and share free materials.

blog

Blog for NaiRuby

Sugebewa

Socio File Sharing

cancer-kbs

This is a cancer knowledge base system

pageviews

Rails gem that tracks page views

UoN-Village

Social site that also allow s sharing of materials

igiza

IGIZA Mobile RC

sample_app

Ruby on Rails Tutorial sample app

BBServer

paymax

demo_app

Ruby on Rails Tutorial demo application

GariMax

BlackSlash

rails3_rss

MediShare

Data is boring, information is interesting, as humans, we tend to better understand a particular issue when it is presented to us in a visual way. Data mining (sometimes called data or knowledge discovery) is the extraction of interesting information or patterns from data in large databases and analyzing data from different perspectives and summarizing it into useful information. On the other hand Data visualization is the graphical representation of information, with the goal of providing the viewer with a qualitative understanding of the information contents. This project deals with developing a platform that performs data mining and visualization of data related to health issues from the government open data repository and data collected through the platform. Additionally, this platform will perform a mash up of different datasets establishing relationship as to how they relate. The platform will provide information that can be easily understood and interpreted by researchers, students, doctors and the public. This is meant to arm the public with information on underprivileged areas, as a result driving efforts towards improving the health situation around communities.

apriori-rails.github.io

This is a website for apriori-rails gem which is a library to efficiently find item association rules within large sets of transactions. This library provides a Ruby interface to Christian Borgelt’s C implementation of this algorithm.