Smart Front End and Reporting System

Project Title

Smart Front End and Reporting System

Project Area of Specialization Artificial IntelligenceProject Summary

The entire project has been built around python and .NET. It is controlling the peripherals like camera. OCR is implemented in this project to recognize the text which is read out by the system through software

For example,

A developer need to make a form, he will start drag and drop the label, input fields, or etc then will make a connection and add the form to the database.

In our software you just have to draw the form like (input fields, label, buttons, radio buttons or etc.) on a paper or on computer or in a pdf form. If you are giving the  form on a paper then the software will detect the fields and buttons and etc. then it will generate a form and it will ask you your server name and password and then it will make a databse is the given table and the form will be ready and you can generate millions of reports on a single click and on the other hand you can get the forms from your database and it will ask you to connect to server and then it will generate you the form.

Project Objectives

±  We hope to achieve at the end of the program that a programmer doesn’t have to start every function or form from scratch.

± Developer just have to draw and get the functions and forms. On the other hand, so many steps will be taken to achieve the desire outcome. It will save their time.

± The main objective is to save time of the developer.

Project Implementation Method

The methodology is divided into several parts. The first part is on the hardware implementation, followed by the software implementation steps, programming and working.

Phase I:Hardware Implementation:

±Mobile Camera

Phase II:Software Implementation:

±Python 3 Compiler

±.net

±Core .Net

±Android

Phase III:Steps:

±Image Capturing: The first step is the one in which a picture is captured from the camera. The picture quality should be clear enough to be identified for further process.

±Image to text/input field converter: In this step the picture goes to the software that detects the image and convert into text and input field and the content has been successfully processed.

Benefits of the Project

± The benefit of this project is to save programmer time so developer doesn't have to start from scrach.

± We are giving forms and million of reports on a single click.

± This software will make developer work convenient and easy.

Technical Details of Final Deliverable

• The system will work on our existing technical infrastructure - no new technologies will be introduced.
• Not that hardware is use but you need a computer which is capable of running software’s.
• The embedded software system is on the python and Dot.Net, SQL database, is mandatory with windows 7 and Dot.Net and  python libraries and OCR are used in this project
• We have use OCR libraries ( Open CV, TensorFlow, Py Torch, numpy )

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education , Manufacturing Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	42100
API	Equipment	2	15000	30000
Thesis	Miscellaneous	3	700	2100
Print	Miscellaneous	500	10	5000
Domain and Hosting	Equipment	1	5000	5000