Anti-chena9a aggregates product listings from multiple online platforms and applies machine learning to estimate fair market prices. The project aims to provide transparency and insights through data-driven price prediction and comparison.

Fake Jober is a machine learning project aimed at detecting fraudulent or low-quality job postings on Moroccan job platforms. By analyzing job descriptions and metadata, the system helps protect job seekers from scams and misleading recruitment practices.

Mr. Sales is an end-to-end data platform designed to ingest fragmented sales data from multiple sources. The project focuses on data cleaning, aggregation, and analysis to generate actionable business intelligence and sales forecasts that support decision-making.

The 9ofa is a data analytics project focused on tracking recurrent inflation in Morocco. It builds an ETL pipeline to collect prices of a standard basket of goods (flour, oil, vegetables, fruits, etc.) from local souks and major e-commerce platforms. The data is cleaned, normalized, and analyzed to provide insights into price evolution over time.

First Responder is an AI-powered agent capable of understanding and responding to social media messages in mixed Darija, French, and English. It can process text, PDFs, and images to categorize requests and generate appropriate responses.

PFEmpower is an intelligent system that parses Moroccan CVs, often written in mixed French and English formats, and matches them with relevant PFE or PFA internship opportunities. The matching is based on semantic similarity rather than simple keyword matching.