Software Solution for Determining Organ Allocation Boundaries

The manual search for organ allocation boundaries using images is a time-consuming process. A company approached us with a request to explore the feasibility of developing a solution capable of automatically determining human organ allocation.
Python, Typescript, Image recognition, Machine learning, Three.js, Tensorflow
4 man/year


To address the client's challenge of automating the determination of human organ allocation boundaries from images, we outsourced part of the research to a specialized research institute.

The research, which took three weeks and cost $5,000, helped us discover an approach to solving the problem. Afterwards, we implemented a solution based on neural networks, using Python language and TensorFlow to develop the product.


In response to the client's plan to integrate the solution with other information systems, we designed it as a microservice. On top of this, the client presented us with additional tasks to address.

As a result, we developed multiple microservices tailored to solve various image recognition problems, ensuring seamless integration with any external system.