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This repository uses machine learning to detect and classify financial charts while extracting text via OCR. It enhances fintech data extraction with plans for expanded chart support and improved OCR.

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Nada-Abidii/AI-for-FinTech

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Chart Recognition and OCR

Overview

This project focuses on chart recognition and classification in the context of fintech, leveraging machine learning for automated financial data extraction. The system detects and classifies different types of financial charts, such as line and pie charts, and applies Optical Character Recognition (OCR) to extract relevant textual information. The model has been trained on Roboflow to enhance its accuracy and efficiency in real-world applications.

Features

  • Object detection for financial chart classification
  • OCR for extracting text from line charts and pie charts
  • Pretrained model available on Roboflow
  • Model trained using Roboflow's training pipeline

Dataset and Model

Tools Used

Python
Jupyter Notebook
Roboflow
OCR

Future Improvements

  • Extend support to other chart types
  • Enhance OCR accuracy for complex chart elements
  • Integrate the system into a real-world application universe.roboflow.com

About

This repository uses machine learning to detect and classify financial charts while extracting text via OCR. It enhances fintech data extraction with plans for expanded chart support and improved OCR.

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