MBH AUTO : Management of cars sales, rents and repairs
Complete solution to manage, purchase, sales, repairs and rental of cars
- Client Several clients
- Date 15 June 2022
- Services Web Application + Mobile Application
- Budget $20 000+
- Duration 3 Years
Ben Sassi Ridha : FullStack developer Web/Mobile
Web Application
- Home
- Web Application
Présentation du projet
AUTO MBH : It is a complete solution for the automotive sector which is composed of 3 projects: Backoffice – Showcase site – Mobile application. Each project offers features :
Backend part
- Management of Suppliers and their contacts
- Management of cars (addition, import via an Excel file, Brands, Models, Fuel Type, Bodywork etc ...)
- Car purchase management
- Management of car landfills
- Management of individual or Corporate Clients (database for documents, credits & checks)
- Manage customers
- Car sales management
- Quick Vehicle Purchase Creation via Registration Card Scan
- Management of credit payments and car discounts during rentals Manage the application settings (roles, permissions, users as well as activity history)
- A dashboard that shows the evolution of rentals, repairs & sales by month.
- Possibility of switching from one application to another thanks to the system integrated in the configuration part of the application and which is based on XML.
- Manage application settings (roles, permissions, users, activity history)
- Easily add a new supplier using an interface called ‘Test Lab’
- Support several types of payment (transfer with qrIBAN, Check, Cash, Credit Card)
Frontend part : Showcase site
- Consult the list of cars that are available for sale
- Filter cars
- Placing orders
- Send a contact message
- See the details of each car
- Add two or more cars in the comparator
- Book a test drive
Mobile application
- Quickly add car purchases with the ability to take photos by the camera or from gallery
- Receive notifications in the case of a new order
- Placing orders
- See the details of each car
- Manage suppliers
- Add two or more cars in the comparator
- Book a test drive
- Manage rentals
- Quick Vehicle Purchase Creation via Registration Card Scan
Customers
This solution has been saled to several clients in Tunisia, Switzerland and France
Points on technologies
This project is composed of two parts, FrontEnd part developed by Angular 8 and a BackOffice part developed by Laravel 7. Communication between these two parts is ensured by web services
Tools
- Post Man
- PhpStorm 2019
- Adobe Photoshop CC 2019
- MySql Workbench
Packages used on the Angular side
- Jselect
- JCalendar
- ngBootstrap
- ngx DataTable
- FullCalendar
- ngSnotify
- ngLightBox
- Moment
- Lodash
- ngxPermission
- ngxFavIcon
- ngxPagination
- ngxColorPicket
- ngxMask
Packages used on the Laravel side
- barryvdh/laravel-dompdf
- thiagoalessio/tesseract_ocr
- chumper/zipper
- kwn/number-to-words
- maatwebsite/excel
- ajcastro/eager-load-pivot-relations
- milon/barcode
- tymon/jwt-auth
Video Presentation
Main Presentation
[Elite_video_player id="2"]
Présentation des nouveaux modules : Décharges sur les voitures + Paiement par Facilité
Front End : Showcase site
Gestion des licences
Application Mobile V2
LES PLUS DE CE PROJET
- Separation between backend part and frontend part. The communication between the two parties is done through RESTful type web services
- Creation of a tailor-made application, I made several meetings with the client to identify his needs since they are specific for this client.
- I consolidated my knowledge at the Angular level, throughout this project I tried as much as possible to create reusable Angular components so I had the opportunity to work with advanced Angular features such as: SubjectBehavior, @Input, @OutPut, Custom Directive , Pipes, I created my own DataTable, Viewchildren , ViewChild , ContentChildren , ngTemplateOutlet …
- I have mastered the use of Git version management system, I have made +278 commits 🙂
TO CONCLUDE
Throughout this project to try to create a structure that adapts easily to any type of project for that I organized it in the form of contexts for example for this project I classified it under the context Works. With this structure, I had the opportunity to create a feature-rich application after only 6 months 🙂 .
Clone to the GIT
https://gitlab.com/bensassi/nutriprocess.git
Get a quote on a project :
OCR COMPTA : Extraction of invoice data
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.
- Client Several clients
- Date 15 June 2022
- Services Web Application
- Budget $10 000+
- Duration 2 Years
Présentation du projet
OCR COMPTA – This web application dedicated to accountants aims to save time in processing invoice binders. It permits :
- Extraction of fields (e.g. VAT, Amount including tax, invoice number, etc.) quickly from invoices in image or PDF format
- Dynamic management of fields to extract and their patterns
- Manage the possibility of having several versions for each field
- Manage simple fields and compound fields which are composed of other fields (e.g.; label = No. numFactSupplierName)
- View key figures such as field detection success and failure rates for each supplier
- Manage customers
- Manage suppliers
- Manage accounting accounts for each customer
- Consult the list of scanned invoices and their fields which have been extracted
- Export the result of an OCR to an Excel file
- Manage application settings (roles, permissions, users, activity history)
- Easily add a new supplier using an interface called ‘Test Lab’
- Frontend part to facilitate the addition of a new supplier with its model invoices as well as defining the patterns of each field to extract
Customers
This solution has been saled to several clients in Tunisia, Switzerland and France
Points on technologies
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
Pre Request Tools installed in OS
- Tesseract ocr 6
- ImageMagick
- Ghost Script
- LibTiff
Packages used on the Angular side
- Jselect
- JCalendar
- ngBootstrap
- ngx DataTable
- FullCalendar
- ngSnotify
- ngLightBox
- Moment
- Lodash
- ngxPermission
- ngxFavIcon
- ngxPagination
- ngxColorPicket
- ngxMask
Packages used on the Laravel side
- barryvdh/laravel-dompdf
- thiagoalessio/tesseract_ocr
- chumper/zipper
- kwn/number-to-words
- maatwebsite/excel
- ajcastro/eager-load-pivot-relations
- milon/barcode
- tymon/jwt-auth
Video Presentation
Version 3.0
OCR MBH – Version 3.0 Release Notes
Release Date: February 2026
Version: 3.0
🚀 Overview
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.
✨ New Features
ZED – Execution Queue System
Introduced ZED, a dedicated queue for storing and managing workbooks awaiting OCR execution.
Ensures controlled processing and improved execution stability.
Supplier Profile Management
Added a new interface to define and manage supplier profiles.
Centralizes supplier configuration and OCR-related metadata.
Advanced Pattern & Account Mapping
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.
Supplier Filtering Enhancements
Added new filters in the supplier list:
Suppliers with defined patterns
Suppliers without patterns
Improves configuration tracking and setup efficiency.
Enhanced OCR Execution Engine
Added advanced field mapping during OCR execution.
Introduced flexible data cleanup options, including deletion rules.
Improved execution stability and data consistency.
Batch (Lot) Processing
Added batch processing to execute or modify multiple workbooks simultaneously.
Enables faster operations and bulk updates.
Image Comparison
Added image comparison functionality to visually verify OCR results against original documents.
Cluster Execution
Introduced cluster-based OCR execution to support large-scale processing.
Improves performance and throughput for high document volumes.
VPS & Infrastructure Improvements
Increased RAM capacity to support larger workloads.
Improved CPU utilization for better processing performance.
Enhanced overall system stability for continuous OCR execution.
🛠 Improvements & Optimizations
Improved system performance under heavy workload.
Optimized OCR execution pipeline for scalability.
Enhanced reliability for large workbook processing.
✅ Summary
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.
Version 1.0
[Elite_video_player id="1"]
Clone to the GIT
https://gitlab.com/bensassi/nutriprocess.git
English 
French 
