Software Map

The Imixs Workflow project offers a Java based BPM framework to build workflow management systems (WFMS) in a fast and easy way. The project provides different components and sub-projects that contribute to the development of workflow solutions in any kind of Java or Java EE application. The goal of this project is to offer an easy-to-use Java based technology with a focus on human based workflow. This means that the Imixs Workflow is typically applied to human-to-human workflow applications. But it can also be used for technical business process management solutions (BPM). The Imixs JEE Workflow is a full featured Workflow Management System (WFMS) based on the JEE specification. The project extends the Imixs Workflow API project to fulfill the requirements to a scalable, transactional, robust and simple deployable Java EE Workflow System. The Project provides different service components (EJBs) to be used in any kind of BPM application.

OpenERP is a complete business application suite. It covers CRM, accounting (analytic and financial), production management (MRP), stock management, sales and purchases management, task automation, marketing campaigns, help desk, POS, and more. Technical features include a distributed server, flexible workflows, an object database, a dynamic GUI, an XML-RPC interface, and customizable reports.

Enhydra JaWE (Java Workflow Editor) is an XPDL2.1 based graphical workflow process editor fully adhering to WfMC specifications. It can be used to edit or view any XPDL file which conforms to WfMC specifications. It works with several open source and commercial workflow engines, like Enhydra Shark, WfmOpen, OBE, and OfBiz. It has participated in a WfMC interoperability demo where it was used to handle XPDLs from Fujitsu, TIBCO, and the Enhydra Shark engine.

A Human Resouces Management Information System,Especially for Performance evaluation.and contain all modules of humance resouces management

e-Dokyumento is a web-based Document Management System that stores, organizes, indexes, routes, and tracks electronic documents.

A document management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of documents.

https://static-cdn.osdn.net/thumb/g/6/408/800x600_0.png

#Features

1. Document routing and workflow - users can freely select the department or branch to route the document.

2. Add file links to the document- users can link or attach files to the main document. This is ideal for documents requiring attachments such as references and enclosures.

3. Add notes or comments - users can add notes or comments to the documents during routing. This is similar to manually attaching 'Post it'.

4. Annotations-managers and bosses can draw and add text into the document when correcting. Upon saving of the annotated document, he/she can return it to the originator.

5. Electronic Signature - managers and bosses can electronically sign to approve the document. Every document signed has a corresponding control number for tracking and non-repudiation. This is not a PKI-based signature but can be a good alternative next to nothing.

6. Content Searching - Files are scanned using Optical Character Recognition (OCR) and indexed to allow searching of files or documents through its content.

7. Store and index multiple file format - Upload, store, and open documents with the following following format: pdf, docx, xlsx, pptx, txt, and odt.

8. Graphical monitoring of document routing - routed documents are graphically mapped through line chart and pie chart. This allows effective monitoring of office communications.

9. Edit document through mapped drive document can be edited through mapped drive or SMB shared drive.

10. Send document to other users - documents can be sent directly to users much like an email. This is ideal for documents to be internally communicated between the staff and manager within the department.

11. Intelligent Document classification using Machine Learning

# Installation on Ubuntu Linux :

https://osdn.net/projects/e-dokyumento/scm/git/e-dokyumento/blobs/master/Install%20e-Dokyumento%20on%20Ubuntu%20Linux.pdf

#Installation using ISO

1. Download the ISO file from https://osdn.net/projects/e-dokyumento/downloads/73421/edokyumento.iso/

2. Login with root and p@ssword123

3. Move drive folder from /opt to root : "mv /opt/drive /"

4. During installation, delete the drive and create a SWAP and root (/) drives

#Demo

https://34.67.81.154/

1. 1. staff-marketing staff@123 STAFF MARKETING
   2. manager-finance manager@123 MANAGER FINANCE
   3. staff-secretary staff@123 SECRETARY SECRETARY-RECEIVING
   4. boss boss@123 GM G.M.
   5. boss.wannabe boss@123 EAGM ASST.G.M.

# Credit

1. node-pdfsign

2. @ninja-labs/verify-pdf

3. Tensor Flow and Keras for the Machine Learning

4. Hopding/pdf-lib

5. nisaacson/pdf-extract

6. nextapps-de/flexsearch

7. paulmillr/chokidar

8. schmich/instascan

#License: GPL