On June 27-28, IT Park held online data hackathon in Uzbekistan with the support of the Russian Agency for Strategic Initiatives, which was held as part of the international competition "World AI&DataChallenge", aimed at solving global socio-economic problems using big data processing technologies and artificial intelligence.
With the support of the World Bank, the OSCE Project Coordinator in Uzbekistan, the Ministry of Economic Development and Poverty Reduction, and the State Committee of the Republic of Uzbekistan, total 145 applications were received from IT and data specialists, students of specialized specialties from various Universities, specialists of IT companies, and even from schoolchildren.
During the hackathon, 15 projects were formed as a team and individual, which created solutions for such issues like:
- Reducing poverty in Russia and the world;
- Recognition of Braille Alphabet;
- Forecasting water levels during the spring flood;
- Predictive analysis of tourist flow;
- Future Skills
The experts were experienced specialists such as:
1. Abdullaev Sarvar – a specialist in the fields of: OOP (C# and Java), software design (design patterns), web programming (Angular, Laravel, ASP.NET, Flask), machine learning (Scikit-learn, Keras), data visualization (Plotly, Bokeh, Matplotlib, Highcharts), CI/CD (AzureDevOps, Gitlab);
2. Umirzakov Shakhzod – a specialist in the field of artificial intelligence (computer vision, machine learning and deep learning);
3. Ibragimov Dilshod – a specialist in programming (OOP), data analytics and data storage, visualization using PowerBI, QlikSense, graphics libraries (ggplot, matplotlib), machine learning models;
4. Igor Kim – a specialist in ProductManagement, prototyping, Python/Flutter/Vue, and recommendation systems. As part of the hackathon, he was responsible for choosing the optimal way to implement projects.
Igor Kim tells about the last hackathon: "My task at the hackathon was to assist teams in determining the path to develop their future product, and in 48 hours to select the best proposed projects.
At a glance, it may seem that the most important thing at data hackathon is to build the most accurate model (as at Kaggle, where Xgboost is very well-known), but this was not a hackathon for the sake of hackathon and hunting specialists by sponsor companies, but a reactive process of forming and choosing solutions that will be integrated into our future.
The guys tried and worked hard. We have selected the strongest teams that we believe have an understanding of the problem and how to solve it.
According to the results of the hackathon, all participants who formed projects have the opportunity to continue developing their solutions until August 31, 2020. Then, the best solutions that will be selected will go to the stages of acceleration and implementation of their projects."