Food Segmentation and Quantity Estimation using Data Clustering Algorithms

I'm looking for help in developing a system that can segment and estimate the quantity of food using data clustering algorithms. Specifically, I'm looking for someone who can implement K-means clustering techniques to generate this system. The desired outcome of this project is to develop software that can use the data clustering algorithms to perform food segmentation and quantity estimation. This system should be able to accurately group and categorize the different food items based on their characteristics and estimate their quantities with precision. Once developed, the system should be robust and able to provide reliable results with the ability to adapt to changing food item categories.