amitkedia007/Financial-Fraud-Detection-Using-LLMs

The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset

40
/ 100
Emerging

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 21 / 25

How are scores calculated?

Stars

86

Forks

33

Language

Jupyter Notebook

License

Last pushed

Jun 11, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/amitkedia007/Financial-Fraud-Detection-Using-LLMs"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.