Akimat of Pavlodar region and Toraigjhyrov University initiated a three-day online hackathon.

Within 72 hours, 6 teams of IT-specialists, designers, and specialists with different competencies and skills will generate workable prototypes of digital services that are of practical use for solving problems caused by the coronovirus pandemic.

Participants will consider and scale up a number of initiatives in the field of telemedicine, services to support small and medium enterprises, the development of a service economy, the fight against social isolation, the digitization of public services, an alternative learning environment, support for vulnerable populations, etc.

The teams suggested creating an online pharmacy so that people could find affordable medicines near their home, a medication guide, and using chatbots and machine learning to make preliminary diagnoses, a service that brings together needy people and volunteers, etc.

The winner was the “DocBot” project.  Telegram Bot is designed for online diagnosis of diseases and obtaining up-to-date information on the availability of drugs in pharmacies of the city.

The main advantage of the project is the use of Mashine Learning in the implementation.  Machine learning models allow us to analyze more than 130 symptoms of various diseases and make it possible to diagnose more than 40 diseases.

 “The deep, highly accurate neural network (ResNet50) helps prevent the risk of skin diseases in one of 7 types of moles on the human body.  This type of machine learning allows the system to analyze more than 10,000 possible options”, developer Daniil Orel notes.