classify location of the expiry date on drug label and lot number Is it possible that using the Machine Learning classification model we can classify/predict the LOCATION/ORIENTATION of the lot number and expiration date on different vials label?

If yes, possible approaches. 

Update: So far what I have observed is with EAST model
https://arxiv.org/abs/1704.03155

one can locate text in the scene and then use OCR s/w like Textract to read those locations. Now, the real challenge is when you have lots of text available in the image vertical and horizontal and when you don't know where the particular text would appear in the image like expiry date - Is it possible to train a system to give just one or two locations which will be expiry date and lot number?

The challenge here I feel is the location but what features we would take to train as it's just text. I feel it's a classification problem with supervised learning but I may be wrong. Comment?

Thanks
It seems plausible that it might be doable, using methods in the research literature on object detection and localization (Yolo, Faster R-CNN, etc.).  The only way to tell for sure is to acquire a large dataset of such images and try it out and see how well it works on your data.