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Welcome Aletheia Project!

This Repository is for core model of the Aletheia Project [private project yeat] .

Aletheia Project is a Bible Study App made in Flutter. The goal of the project is to give a really useful and easy to use app (shared in different platforms) that you can study the bible more precisely.

The target of the project is Christian software that includes features to really delve into the word and be a platform for preachers/missionaries/students/teachers and people who are enthusiastic about the Word of God.

Download

Check the release for the installer [Windows] [MacOS] [Linux]

Check on Microsoft Store for oficial install and updates.

Documentation

Note

For personal Module creation, check the Wiki, you can create modules, bible translations on another language. Please contact by creating a Issue if you create a diferent module or for correction. The Core Model can be used to create a nice way to see the data and creating other applications integrated to the main app.

Feactures:

- Compare versions of the bible
- References of the verse
- Anotations of the verse
- Dictionary for words [related to the verse os not]
- Commentaries, linked to the chapter/verse
- PDF printing
- PDF reading
- Import [not all]  database from myBible.zone app (Only DEV)
- Lexico dictionary
- Notes (Message, study, devocional, ...)
- Highlight on Verse and Words

Initial Screen

References from the verse

User notes from the verse

Dictionary words from the verse

Commentary from the chapter/verse

Lexico Word related to the version

Some experiment with Chat-GPT [bible exegesis]

Print pdf

Goals

The goal of the project is to deliver an app in any plataform. More especific the desktop or tablet.

- Import more data from myBible.zone 	
- Database syncronization
	- Add some way to download script
- Internationalization
	- PT-BR and EN for now
- release 
 		- package on MAC OS (Store), 
   		- Android For Tablet
- responsible layout *just working for tablet and desktop now
- NLP
	- In Development
	- Add API to get the text nlp