BR28713099 – Development of an innovative service to minimize economic inequality and enhance the financial sustainability of citizens through a personalized credit service
Objective of the project – To develop an innovative platform to minimize economic inequality and increase the financial stability of the population, providing access to earned funds to reduce the debt burden with a single online loan selection service based on the borrower's needs and credit potential.
Relevance: The program aims to develop an innovative digital service to reduce economic inequality and improve the financial stability of citizens in Kazakhstan. It will provide access to advance payments, personalized credit products, and educational tools to support better financial management. The project addresses key challenges such as high household debt, low financial literacy, and limited access to modern financial services, particularly among vulnerable groups. The proposed solution will offer a flexible and scalable platform to enhance financial resource management and expand access to credit.
Scientific supervisor: Candidate of Economic Sciences, Ph.D., Associate Professor, Turegeldinova Aliya Zhumabekovna
Expected and achieved results: A digital platform integrating blockchain and machine learning has been developed to manage advance payments securely, with high flexibility and scalability. A system for analyzing users’ financial status and predicting risks has been implemented, along with tools to improve financial literacy. The platform offers personalized credit products based on individual needs, goals, and financial capacity. Real-time monitoring of financial transactions is enabled through integrated mechanisms. Data protection is ensured by a multi-layer security system using advanced cryptographic methods. The platform has been tested in real-world conditions, refined based on pilot results, and prepared for scaling and market deployment. Its impact on reducing debt burden, improving financial stability, and enhancing productivity is being assessed through collected socio-economic data.