Building the Future of Algerian AI

Awras

Toward an ecosystem dedicated to preserving and empowering the Algerian dialect (Darija) through advanced Artificial Intelligence.

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The Vision

We are building the foundational layer for Algerian AI applications. A complete suite of tools designed to digitize our dialect.
The ultimate goal is to build a AI ecosystem that truly comprehends our language and culture.

LLM

Large Language Model fine-tuned on vast datasets of Algerian Darija to understand context, nuance, and cultural references.

ASR

Automatic Speech Recognition capable of transcribing spoken Darija with high accuracy, handling various regional accents.

TTS

Text-to-Speech synthesis that produces natural-sounding speech with authentic Algerian intonation and pronunciation.

The Process

Our continuous loop of improvement ensures our AI models evolve with the language, becoming more accurate and culturally relevant through each iteration.

1
Data Collection

Gathering diverse datasets of Algerian Darija from various sources including text, audio, and cultural content to build a comprehensive foundation.

2
Model Training

Fine-tuning advanced AI models on the collected data, ensuring they understand context, cultural nuances, and regional variations of Algerian dialect.

3
Evaluation & Deployment

Rigorous testing and validation of model performance followed by deployment to production environments for real-world usage.

4
User Feedback & Improvement

Continuous learning from user interactions and feedback to refine models, improve accuracy, and adapt to evolving language usage patterns.

Continuous Improvement Loop