Ben Sassi Ridha : FullStack developer Web/Mobile
Solution complète de gestion, achat, vente, réparation et location de voitures
AUTO MBH : C'est une solution complète pour le secteur de l'automobile qui est composé de 3 projets: Backoffice – site Vitrine – application Mobile. Chaque projet offre des fonctionnalités :
Cette solution a été vendus à plusieurs clients en Tunisie, en Suisse et en France
Ce projet est composé de deux parties, la partie FrontEnd développé par Angulaire 8 et un BackOffice partie développés par Laravel 7. La Communication entre ces deux parties est assurée par des services web
Tout au long de ce projet pour essayer de créer une structure qui s'adapte facilement à tout type de projet, que j'ai organisé sous la forme de contextes, par exemple pour ce projet, je l'ai considéré dans le contexte des Œuvres. Avec cette structure, j'ai eu l'occasion de créer un riche en fonctionnalités l'application après seulement 6 mois 🙂 .
https://gitlab.com/bensassi/nutriprocess.git
MBH OCR is an intelligent document processing solution that automatically extracts accounting data from scanned documents, invoices, and workbooks, streamlining financial workflows and improving accuracy.
OCR COMPTA – Cette application web dédiée à des experts-comptables dans le but de sauver du temps dans le traitement de la facture liants. Il permet :
Cette solution a été vendus à plusieurs clients en Tunisie, en Suisse et en France
This project is composed of two parts, FrontEnd part developed by Angular 8 , VueJS 3.0 and a BackOffice part developed by Laravel 7. Communication between these two parts is ensured by web services
Release Date: February 2026
Version: 3.0
OCR MBH v3.0 delivers major improvements in performance, scalability, and accuracy. This release introduces advanced queue management, supplier-driven extraction logic, batch processing, cluster execution, and infrastructure optimizations to support high-volume accounting document processing.
Introduced ZED, a dedicated queue for storing and managing workbooks awaiting OCR execution.
Ensures controlled processing and improved execution stability.
Added a new interface to define and manage supplier profiles.
Centralizes supplier configuration and OCR-related metadata.
Introduced an advanced interface to define extraction patterns per supplier.
Enabled mapping of extracted fields to accounting accounts.
Added pattern testing on line items with preview of extraction results.
Added new filters in the supplier list:
Suppliers with defined patterns
Suppliers without patterns
Improves configuration tracking and setup efficiency.
Added advanced field mapping during OCR execution.
Introduced flexible data cleanup options, including deletion rules.
Improved execution stability and data consistency.
Added batch processing to execute or modify multiple workbooks simultaneously.
Enables faster operations and bulk updates.
Added image comparison functionality to visually verify OCR results against original documents.
Introduced cluster-based OCR execution to support large-scale processing.
Improves performance and throughput for high document volumes.
Increased RAM capacity to support larger workloads.
Improved CPU utilization for better processing performance.
Enhanced overall system stability for continuous OCR execution.
Improved system performance under heavy workload.
Optimized OCR execution pipeline for scalability.
Enhanced reliability for large workbook processing.
OCR MBH v3.0 is a major upgrade focused on automation, scalability, and performance. With advanced supplier configuration, batch execution, and infrastructure enhancements, this version significantly improves operational efficiency and processing capacity.
https://gitlab.com/bensassi/nutriprocess.git
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