I need an ML developer to build a camera based detection project

Hi, I would like to build a basic project to determine potential using ways of ML camera based detection, with using Biosensors. Based on the project, I will make the academic research part, so I'm not rich, but academics. Here's the plan:
you know, Tesla can detect fatigue from the number of eye blinks and yawns. I want to develop a camera with the same logic. Let's say we design a ML program and place cameras in the checkout section of the market. Let's say 3 cameras see each cashier. Based on the cashier's eye blinking, yawning, etc., I want to give a % value to the fatigue level of the cashier. If the cashier is more than 50% tired, an email/message notification will be sent to the store owner.
In addition, I want it to be able to detect data such as how long the cashier stood at the cash register, how long the cashier left the cash register empty, etc. The market / cashier is just a story I'm creating right now, this is not the area I want to work in, but it's similar. For example, based on the cashier example, can we teach the program the details of the market? For example, let's say I have photos and videos of the grocery store, can we teach these objects to machine learning, or are they pre-trained in a library. How do we train the ML? In addition to yawning and blinking, what data do you think we can handle? What sensors and cameras should we use for this?

I told you about the project, please send me a message w avg time, your budget asking, and camera model we could work.