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Number of applications: 9

Development of an intelligent AI assistant for expert verification of scientific documents
Customer

ТОО "DLS_GLOBAL KZ"
Decision acceptance deadline

03.08.26 (inclusive)

Form of award

Service agreement

Product status

MVP

Task type

ICT tasks

Сфера применения

Media sphere

Область задачи

Other technological solutions

Type of product

Software/ IS

Problem description

Expert verification of scientific documents requires considerable time and highly qualified specialists. When analyzing a large number of documents, experts need to study the content of the work, analyze the results of checking the originality, check the structure of the document, the correctness of the design, citations and references. Most existing systems provide only the results of the verification of originality, without helping the expert interpret the data obtained. This increases the verification time and increases the likelihood of missing important comments. The development of an intelligent AI assistant will automate the initial analysis of documents, make recommendations for an expert, reduce the verification time and improve the quality of decisions made.

Expected effect

As a result of the project, an intelligent AI assistant will be developed to automate the analysis of scientific documents and the results of the verification of originality. Using the system will reduce the time of expert review, improve the quality of decisions made, ensure a uniform approach to document evaluation and reduce the burden on specialists.

Full name of responsible person

Asylbekov Ulan Bekbergenovich

Purpose and description of task (project)

The aim of the project is to develop an intelligent software module based on artificial intelligence technologies designed to help experts review scientific, graduate, master's and dissertation papers. The AI assistant must analyze the content of the document, the results of the verification of originality, the structure of scientific work, design and other parameters, and then form recommendations, identify potential violations and answer expert questions on the content of the document. The solution being developed should be integrated with the document verification system and used as an auxiliary tool to improve the quality and speed of expert verification.

Note

The authors consider performers with experience in developing solutions based on artificial intelligence, document processing, NLP technologies and large language models (LLM), as well as integrating software modules with existing information systems. Preferably, you have experience developing corporate web services and REST APIs.

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