https://github.com/iamsdt/deploybndegit
A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.
https://github.com/iamsdt/deploybndegit
ai bengali-digit cnn-classification dropout flask gunicorn heroku-deployment pytorch pytorch-implementation relu
Last synced: about 1 month ago
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A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.
- Host: GitHub
- URL: https://github.com/iamsdt/deploybndegit
- Owner: Iamsdt
- Created: 2019-08-06T14:39:26.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-11-22T04:32:44.000Z (over 3 years ago)
- Last Synced: 2023-03-09T03:26:30.935Z (over 3 years ago)
- Topics: ai, bengali-digit, cnn-classification, dropout, flask, gunicorn, heroku-deployment, pytorch, pytorch-implementation, relu
- Language: Python
- Homepage:
- Size: 11.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Project: Bengali Digit Recognizer
A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.
# Schreenshorts
| First Image | Second Image |
|---| ---|
|  |  |
## Test
Web App: [Bengali Digit Recognizer](https://bengali-digit-recognizer.herokuapp.com/)
## Framework and Datasets
**Framework**: Pytorch
**Datasets**: [NumtaDB: Bengali Handwritten Digits](https://www.kaggle.com/BengaliAI/numta)
# Architecture
Custom CNN model is used
| CNN Layer | Linear Layer|
|---| ---|
| Layers: 7 | Layers: 2 |
| Normalization: BatchNorm2d | |
| Pooling: MaxPool2d | |
| Activation Function: ReLU | Activation Function: ReLU, Softmax |
| Dropout: 0.25 | Dropout: 0.4|
### Hyper Parameters:
| Hyper Parameters|
|---
| Epoch: 25
| Batch Size: 128
| Learning Rate: 1e-3
| Loss function: NLLLoss
| Optimizer: Adam
| Scheduler: StepLR
| Transformations: Resize(180), RandomRotation(30),
| Data Split: 20%
# Accuracy
Test Accuracy: 99.2890%
| Class wise Accuracy
| ---
| Test Accuracy of 0: 99% (1104/1111)
| Test Accuracy of 1: 99% (1095/1105)
| Test Accuracy of 2: 99% (1094/1099)
| Test Accuracy of 3: 98% (1080/1091)
| Test Accuracy of 4: 99% (1078/1087)
| Test Accuracy of 5: 99% (1088/1096)
| Test Accuracy of 6: 99% (1057/1067)
| Test Accuracy of 7: 99% (1050/1053)
| Test Accuracy of 8: 99% (1124/1127)
| Test Accuracy of 9: 99% (1051/1059)
| Test Accuracy (Overall): 99% (10821/10895)
## Others Libraries
- Pandas
- Numpy
- PIL
- Matplotlib
## Kernel Link
[BN digit with pytorch](https://www.kaggle.com/iamsdt/bn-digit-with-pytorch)
## Deployement
The web app is deployed in *Heroku*
Web App: [Bengali Digit Recognizer](https://bengali-digit-recognizer.herokuapp.com/)
# Schreenshorts
| First Image | Second Image |
|---| ---|
|  |  |
## Credits:
I have no experience in web design, so I use this website template from
repo [How to deploy a keras model to production](https://github.com/llSourcell/how_to_deploy_a_keras_model_to_production)
Author: **Siraj Raval**
# Develpoer
**Shudipto Trafder**
**Slack Name:** @Shudipto Trafder
Email: [Shudiptotrafder@gmail.com](mailto:shudiptotrafder@gmail.com)
Linkedin: [Shudipto Trafder](https://www.linkedin.com/in/iamsdt/)