Brahmilator

Systematic approach to translate Early Brahmi Inscriptions

Project Status

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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

How to contribute to this project

• Make sure to read the contributing guidelines before contributing.
• Fork this repository.
• Clone your fork on local machine.
• Switch to the master branch.
• Make a new branch, preferably with the feature name.
• Checkout to the new branch with git checkout <new_branch_name>
• Do the desired changes and commit them with git commit -m '<a nice commit message here>'.
• Push the change to your fork on GitHub with git push origin <your_branch_name>
• Make a Pull Request to the master branch in the original repository, i.e. this one.

Note: Make sure you are always up to date with sync and pull upstream. Sync and pull before you start and before you push your work.

Resources

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

• Project Structure
• Project Overview

License

MIT

Contributors