The time required to build an ML-based product can vary depending on various factors such as the complexity of the project, the amount and quality of data available, the specific ML techniques and algorithms used, and the expertise of the development team.
Developing an ML-based product typically involves stages such as data collection and preprocessing, model training and validation, and deployment and testing. The duration of each stage can vary, but generally, building an ML-based product can take several weeks to several months. It is essential to allocate sufficient time for thorough testing and refining to ensure the product's accuracy and performance.