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Systematic solution to translate early Brahmi Inscription context through computer vision and machine learning techniques.

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Brahmilator - Systematic approach to translate Early Brahmi Inscriptions

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This project aims to provide a systematic solution to recognize the characters in ancient Sri Lankan inscriptions and translate them into Sinhala and other native languages. Proposed system has 5 different core modules.

  1. Pre - Processing Module
  2. Character Segmentating Module
  3. Classification Module
  4. Words Generating Module
  5. Translating Module

Prerequisites

  • React-Native
  • Python 3.7
  • Tensorflow
  • MongoDB
  • OpenCV

How to run the Project

  1. Clone the project by git clone https://github.com/ManojLL/Brahmilator.git
  2. Install all the mentioned dependecies by running npm install in root folder of the client-side component brahmi_frontend/tyrants
  3. Configuration between OpenCV and React-Native is mentioned on the brahmi_frontend README.md

Resources

In order to get a clear understading of the project you can refer following links.

License

MIT

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Systematic solution to translate early Brahmi Inscription context through computer vision and machine learning techniques.

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