React Native

Fabric

Tensorflow

RabbitMQ

Firebase

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Flutter

Dart

Firebase Messaging

Swift

Java

Kotlin

CoreLocation

MapKit

CleanSwift(VIP)

OneSignal

AVFoundation

Moya

R.Swift

Sass

BLoC

Hive

Dagger 2

Kotlin Coroutines

Kotlin Flow

Retrofit

MVVM

Mobile applications

A handy tool for quick currency conversion according to the current exchange rate.

The application allows you to convert several currencies at once, and also keeps a history of conversions.

The system allows you to create a payment order for converting your fiat currency into non-fiat currency within the system, and vice versa.

It is possible to cancel a payment order if it was just created, as well as generate a request to cancel previously created payment orders.

The client can always generate a statement of his accounts in the format set in the system for any period of time from the beginning of the account registration in the system.

It is possible to manage the entire amount on the account if:
                
                 - The account is not blocked;
                 - The minimum balance has not been set;
                 - There is no encumbrance on the account.

User

Reverse conversion of non-fiat currencies

Integration of the developed system into the functioning system of Bizonex

Implementation of an additional module for working with fiat currencies in the Bizonex system

Mobile application [a]for cryptocurrency transactions[/a]

Implementation of a system that allows for [a]internal and external[/a] payment transactions with fiat currencies

GraphQL

JavaScript

Redux

Axios

Python

Flask

Celery

Elasticsearch

Pytorch

Opencv

Pycuda

TensorRT

Sqlalchemy

Grpc

Fastapi

Zeromq

Redis

Docker

Ffmpeg

Webrtc (Janus)

Websockets

Django

React Query

React Router

Styled Components

Mysql

Laravel

Voyager

Redux Toolkit

Konvs.js

yarn

Emotion

Redux Form

Kafka

Keras

Next.js

Web applications and sites

Analytics

Design

Testing

Website developed for a sports organization - the Federation of Sports Aerobics and Fitness Aerobics of the Tomsk Region. The site complies with all the requirements of the Federal Law of December 4, 2007 No. 329 - FZ "On Physical Culture and Sports in the Russian Federation".

The Federation of Sports Aerobics and Fitness Aerobics of the Tomsk Region is a public organization based on membership. The main goals of the federation are the development, popularization and promotion of two sports "sports aerobics" and "fitness aerobics" in the city of Tomsk and the Tomsk region, the organization and holding of mass physical culture and sports events, recreational activities among the population, the training of athletes of various levels, training sports judges and coaches.

       On the site, the user will be able to:
        - find out information about the federation;
        - receive the latest news;
        - view the calendar of events;
        - get full information about the Federation Council and coaches;
        - familiarize yourself with all regulatory documents.

Client

Opportunity to view the calendar of events for the current year

The ability to view events that are in the archive

Always up-to-date information in the news feed

The main purpose of the site is to provide information about the organization for athletes, coaches, as well as parents of athletes and potential athletes.

Study of regulatory documents - Federal Law of December 4, 2007 No. 329 - FZ

Informational sites for [a]sports organizations[/a]

Implementation of websites in accordance with the requirements of [a]Federal laws[/a]

React

Docker-Compose

The system input is:

  - video sequences from cameras;
  - information about the location of the cameras, other meta information;
  - geographic location of smart tags.

  The system, using a neural network, highlights people on the video sequence; using meta information determines the coordinates of these people and compares with the geographical location of the marks. People without tags are marked on the video sequence as violators.

The security service specialist can control the videos processed using the neural network to determine access rights to a certain territory, based on the fare of the purchased ticket.

When buying a ticket, a photo of the visitor is taken, which is then compared with the incoming video to recognize the person.

In case of violation of visiting a certain territory, the system sends the coordinates and personal data of the visitor to the security specialist.

Processing video recordings from cameras in real-time

Matching faces with photos using a neural network

Determination of the accessibility zone depending on the purchased ticket fare

Develop a neural network that will track people in the winery

Designing the interaction of a neural network with cameras

Matching people's faces using a neural network

[a]Detect[/a] and [a]track[/a] pedestrians in video footage

Identification and tracking of pedestrians in the video sequence with the subsequent determination of their [a]geographical coordinates[/a] to ensure access control to the object

Postgresql

The system was created to qualitatively improve safety at the enterprise by automating safety control processes and reducing the time and labor spent on these processes.

The principle of operation of the system is to recognize, record and notify the operator about events occurring / occurring in the control zone. It allows you to independently determine, based on the existing conditions of the subject’s state, equipment, position in space, which actions should attract the operator’s attention in the control zone.

The system contains samples to recognize workers and can determine whether they have access to the enterprise or whether they are unauthorized persons.

About the system

Develop a system that monitors incidents that arise related to ensuring the safety of employees by preventing and promptly responding to safety violations

[a]Employee[/a] safety system

Development of a system that automates [a]safety control processes[/a]

Employee safety system

Goal And Tasks

About the system

Technologies used

Project documentation

More projects

Mobile application for cryptocurrency transactions

Informational sites for sports organizations

Detect and track pedestrians in video footage

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