Published Paper Details:

This project uses AI - powered ID checks to automate the loan waiver approval process for increased accuracy, security and efficiency. Key applicant's information such as the name, Aadhaar number, and PAN number is retrieved from the document image using optical character detection (OCR) and refined with specified named entity recognition (NER) in NLP. This data has been verified against applicant details from the database. By Residual-based facial recognition The model compares the applicant's live images with the ID document to ensure ID reliability. To ensure protection a multi factor authentication that is a unique password (OTP) is sent to email and SMS of the applicant to ensure genuine user. Economic justification is assessed by the usual engine, which uses bank documents to assess income, credits, criteria, loan history and land ownership. The system ensures regulatory compliance through encryption, reduces manual errors, and provides real-time analysis to administrators. The modular architecture can be easily integrated into state databases and banking systems and is optimized for low- resource environments with optical models. On the whole, the system offers a scalable, transparent, safe approach.