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Tarikh Al Huroob

Augmented Historical Morocco - Tarikh Al Huroob

This ongoing project features an automated pipeline for scraping and ingesting vast historical data. The Big Data architecture includes intelligent filtering via Python scripts to ensure data quality. Gemini LLMs are used for extraction and transformation to create structured summaries. The full-stack deployment uses MongoDB, Flask, and React.js to provide an interactive data exploration platform.

Team

Iliass Wakkar

Iliass Wakkar

Project Lead & Developer

Augmented Historical Morocco - Tarikh Al Huroob — ROCMINE | ROCMINE