Alimzhan Kenesbekov's repositories
myblogger
MyBlogger - Telegram bot that connects advertisers with their perfect match bloggers
roombashare
Roomba project
roomba
Roomba is a Telegram bot that connects tenants with landlords according to their interests and preferences
arka_project_on_python
A device which dispenses prescriptions based on a patient's electronic prescription, added via a desktop application and stored in an online database, authenticating via face identification
Visual-Basic-Projects
Here are some projects for Visual Basic. There are some games and business apps. I hope you find them interesting and useful. All of these apps were made on Visual Studio 2015.
airtio
The goal of the project is to introduce energy-saving lanterns with photocatalytic filters in polluted points of the world. The filter itself does not consume much energy and does not require cleaning or replacement. It works with organic and inorganic compounds, and may fight car exhausts. In the field of air purification, the photocatalytic filters have just begun to replace the mechanical ones, but it already shows that these filters are much more efficient and, according to our calculations, will be able to reduce pollution in Kazakhstan by 13.6% over 16 years. The protoype will be fully powered by solar panel and wind power. Similar projects, based on mechanical filters, are already being applied in Moscow, Beijing and the state of California. But our advantage over the projects already implemented is the use of a photocatalytic filters and alternative energy sources. The efficiency of this model is much higher than that of models that are in the above cities. This project has received many awards at city and republican competitions in Kazakhstan and Russia (NTSI-SkART at Skolkovo and the Ministry of Education of the Russian Federation). Also, I had experience presentating AirTiO on the YES (Young Eurasian Scientist) forum, thereby attracting the attention of many investors from Belarussia, Russia, Kazakhstan and other CIS countries.
med2food
A smart system of determining diagnosis and diet of a person and based on that results deliver helathy food and tea. Now we are participating in WRO (world robotics olympiad) 2018 in Thailand, which will be held in 16th-18th of November. You can find useful codes on Arduino and LEGO. Our main destination is making connectio between Arduino and LEGO using I2C channel. Also, there are many other tools for connecting different sensors, contolling motors and many other interesting and useful stuff. Hope, you are gonna like it
arduinoprojects
Here are some arudino codes in files. I built them while participating in various robotics competitions. You may downoad all of them and learn some new algorithms
websites
This repository is about my experience as a website developer. In issues you can find zip files with my big projects. You may download and see some codes. You can use them as templates for your future websites. P.S. I haven't added all my projects because of the restrictions from customers
qivita
A smart glove and a bracelet measuring electropuncture and pulse diagnostics and sending the diagnosis of a person to an application on a smartphone. The technology of this device is based on the Foll method and pulse diagnostics. The glove has inside the sensors at each biologically active point on the palm of the left hand and through each of them microcurrents are conducted and skin resistance is measured. But sometimes, the glove can give the wrong diagnosis. This can be influenced by several factors: the different structure of the hands, the humidity of the hands and so on. To improve the performance and confirm the glove diagnosis, a bracelet was added that measures pulse diagnostics on the left wrist. Pulse diagnostics - the definition of diseases in humans, by measuring the type of heart rate. This device measures the heart rate at three points on the wrist of the left hand. In order for the diagnosis to be determined as accurately as possible, first, the glove measures its performance and sends an analog signal. The bracelet, in turn, also measures the data and sends an analog signal. All signals come to the microcontroller "Arduino". That in turn, at the time when the bracelet and glove sent equal signals, processes and puts the final diagnosis, and via Bluetooth sends it to the application on the smartphone. At the moment, the device is able to detect gastritis, arrhythmia, bronchitis, intracranial, low and high blood pressure, and the accuracy of diagnosis is 84%, but in potential this figure reaches 99.2%, at the conclusion of the final scheme. The process of determining the diagnosis may take about 7 minutes.