Hand Written Digit Recognizer

Project Title

Hand Written Digit Recognizer

Project Area of Specialization Artificial IntelligenceProject Summary

SUMMARY OF HAND WRITTEN DIGIT  RECOGNIZER:

Firstly ,we are going to import all the modules  that we are going to need for training our models

Preprocessor the data

Create the model

Train the model

Evaluate the model

Project Objectives

• The main objective of this project is to find a representation of isolated hand written digits that allow their effective recognition.
• . The main problem is to address the feature extraction and correct classification approaches.
• The main aim of this  is to facilitate  for recoginition of hand written numeral without using any standard classification techniques. 
• The main objective of this project is  is to Implement a classification algorithm to recognize hand written digits (0-9)

Project Implementation Method

• implementations includes:
• pre-processor,feature extraction and classification(multi feature).
• Big,simple neural nets for Hand written digit recognizer.

Benefits of the Project

• The main aim of this project (hand written digit recognizer) is that  it does not require any learning for system as compared to neural network recognition system.
• The main benefits of this project is that ir does not require  any learning for the system as comoared to neural network recogniyion system.

Technical Details of Final Deliverable

• TOOLS:
• The tools that we used in hand writren digit recognition includes
• ;matlab,data set,feasibility study,MNIST etc.
• Techniques:
• the techniques that We can used in hand written digit recognizer includes OCR(optical character recognition)
• This is most mainstream technique used for  hand written digit recognizer.

Final Deliverable of the Project Hardware SystemCore Industry EducationOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
smart phone	Equipment	1	45000	45000
Software	Equipment	1	10000	10000
Evo	Equipment	3	5000	15000