Transaction Documents Classification Module

Developed a computer vision based document classification system using ML models to automatically categorize uploaded
documents (Invoice, Shipment, PO, TC, etc.), reducing dependency on manual verification.
Built and deployed the classification service as scalable APIs using FastAPI, containerized with Docker, and integrated with AWS
Lambda for event-driven, serverless processing.
Implemented class balancing and optimized model training pipelines to handle skewed document distributions, improving
classification accuracy and minimizing misclassification across document types.
Integrated an automated alerting mechanism to notify suppliers for incorrect document uploads, significantly reducing manual
effort for the customer engagement team and improving overall workflow efficiency.