Industry Team 8
Software Engineering
Ayush Khanna, Anuj Kapoor, Hemanth Jagadeeswari Selvaraj, Sai Krishnan, Tejeshwar Moongilmada Krishnaswamy, Yashwanth Sundhar S
Summary
Manual invoice data entry is time-consuming, costly and prone to errors, which can lead to incorrect payments and financial risk. This project addresses that challenge by evaluating the use of large language models for automated invoice data extraction. The system focuses on identifying and structuring key information from invoices to reduce reliance on manual processes. The goal is to improve accuracy, reduce processing time and support more reliable financial workflows through automation.