Loan Document Verification

Designed and Developed Events driven pipeline for Document Classification, Signature Detection & Verification with State of the art Named Entity Recognition. All documents (Payslips, Self-Certifications, ID cards) were scanned and extracted data were feed into a CRM. for sub-Saharan Africa. This solution was developed for sub-Saharan Africa where financial inclusion is still very limited. The solution reduced the previous verification time from 2 weeks per client (manual) to around 30 minutes by automating the entire process using Machine Learning. Due to lack of proper network infrastructure in most of sub-Saharan Africa, we deployed machine learning models to run on edge devices for document recognition and extraction of relevant information.

Ratul Ghosh
Ratul Ghosh
Grad Student in CS | Researcher | Former Applied Scientist at Amazon & Société Générale
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