ml, ocr invoices

We have some 60 labels we will use for reading and storing information from invoices. In addition, we have some address readings on contracts(address and some contractual fees) and bank statements we need to interpret too. The latter two we are missing training data for. Google vision and tesseract with BOW and/or regex is the fastest way forward. The job is to do ML for the above and quickly get the code running in our system. You MUST have worked with ML, invoices, contract and bank statement ocr reading previously. The precision you must have achieved is a minimum of 95% and you must show proof of it. Python coding of course for you who keep suggesting other code stacks. Specify the following in your application: a) type of OCR/ML project b) precision achieved c) dataset size to achieve the precision Lastly: 1. Please note, no applications with "I can do it", "I am a good coder", and "I know all coding languages in the world". 2. Applications with general terms like "I have the skills you need", " I have done it before" will be deleted immediately without review