I have a PDF file filled with scanned documents. These are standardized form documents that have IDs, standard formats, and distinguishable segments (although certain sections of a form may expand or contract in length in each instance).
Also included in this PDF collection of scanned pages are identification documents (driver’s license, passport, etc). These are more sensitive documents and should be closely scrutinized from a privacy/security perspective.
I am looking for someone to help design the appropriate image recognition capabilities to train a machine how to associate the many segments across the many documents in each PDF and then classify them as “evidence” of categorical questions (classifications with confidence).
Additionally, as this “evidence” is classified for each PDF, I need the system to capture a “snapshot” of that particular segment for quick visual reference and confirmation by humans. Humans need the ability to adjust the segment “snapshots” identified by the system and the ability to adjust the classification of each segment.
I would like to vegan with a proof-of-concept that will price the viability of the conceived AI system. Once proven, further investment will be made to scale and, eventually, automate recommendations/actions for humans using an RPA (Robitic Process Automation) system.
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30 freelance font une offre moyenne de $54/heure pour ce travail
Hi there! Thanks for posting the job. I am skilled and experienced in image processing and OCR programming so I can help you with this project. I hope to discuss the project further with you. Thank you!
hello I am very interested in this project. I am a computer vision expert. I have good experiences in this kind of project. Please check my portfolio. I can do this job perfectly. Thank you.
How are you ? My name is Bryan Valencia. Please check my profile. https://www.freelancer.com/u/UnitedWebSpace Looking forward to discuss about your project. Thank you. Bryan.