Machine learning model for the job and the API endpoint

The whole project scope: we will create a mobile app where users will capture a sample human tooth model images from various angles. Then it will send selected images to an endpoint (REST API) which will be connected to a Machine Learning model. Then the ML model will analyze this image and measure some heights, widths, and diameters as per standard norms. Then it will tally the results with a standard and give a response with measurements details and the percentage of each calculation with the standard

What I need: I need someone to make the Machine learning model for the job and the API endpoint, particularly for that which will receive multiple images of a sample tooth model from various angles and give measurements response. Remember, as there are different types of human teeth, so there will be several samples of tooth models. you need to make the ML in a way so that it can detect which type of tooth it is. ML model should be made in the python framework.


Key Responsibilities:
- Develop a robust machine learning model for image classification
- Efficiently train and validate the model on a dataset that will be provided
- Implement integration of the model into a web application

Ideal Skills and Experience:
- Proven experience in building and deploying machine learning models, specifically classification models
- Proficiency in working with image data and related pre-processing techniques
- Prior experience in integrating ML models into web applications
- Strong understanding of working with classification algorithms

Please share your relevant experience and a brief overview of how you plan to approach this project.