Hand Written Digit Recognizer
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 Title |
Hand Written Digit Recognizer
| Project Area of Specialization |
Artificial Intelligence | | Project 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 System | | Core Industry |
Education | | Other Industries |
Others | | Core Technology |
Artificial Intelligence(AI) | | Other Technologies |
Others | | Sustainable Development Goals |
Industry, Innovation and Infrastructure | Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
| smart phone | Equipment | 1 | 45000 | 45000 |
| Software | Equipment | 1 | 10000 | 10000 |
| Evo | Equipment | 3 | 5000 | 15000 |
| | | Total in (Rs) | 70000 |