Price: 0
Number of applications: 1
03.04.25 (inclusive)
Interaction and recruitment for work under the contract
Finished product
ICT tasks
Robotics
Neurotechnology and artificial Intelligence
Purpose and description of task (project)
A machine learning model that can determine the degree and category of disability based on the data provided, such as medical reports, questionnaires, medical records, and other parameters. The project will speed up the process of processing applications for disability classification, reduce the human factor in decision-making and increase the transparency of the system.
Software/ IS
The disability classification process is currently lengthy and subjective, as it requires the participation of many specialists, the analysis of a large volume of medical documents and consideration of various factors. This leads to slower decision-making, possible human errors, and the risk of subjectivity in assessing the applicant's condition. In addition, the lack of a unified automated system complicates the application processing process, increases the burden on specialists and reduces the transparency of decision-making. This may cause distrust on the part of
Reducing application processing time and increasing the capacity of disability classification organizations without the need to increase staff
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