Handwritten Multiple Digits Recognizer Save
An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter
Handwritten-Multiple-Digits-Recognizer
Introduction
Hello everyone👋, and welcome to this amazing repository which maintains all the code + documentation for the project Handwritten Multiple Digits Recognizer which was created during the third semester of my sophomore year at NMIMS University, Mukesh Patel School Of Technology Management And Engineering, Mumbai.
About
Table Of Contents
| SRS Documentation | Software Requirements Specification |
|---|---|
| README Link | Click To View |
| View/Download As PDF | Click To View |
| Code Files For Project | 2 Modules + 1 Model |
|---|---|
| GUI Module | View Code |
| Train_Digit_Recognizer | View Code |
| mnist.h5 Trained Model | Saved Model |
| Complete Code Explanation | Total Modules = 2 |
|---|---|
| GUI Module | Click to view Explanation |
| Train_Digit_Recognizer Module | Click to view Explanation |
How To Use The Project?/Project Installation Guide
Step 1: Clone the Repository to your local system
Step 2: Change the directory from current to the project folder location in your system
Step 3: Run the following command and wait till al the libraries and dependencies are loaded.
Step 4: If all goes well, you shall see the GUI Window loaded.
Step 5: You've sucessfully got the project running in your local system. Explore it and try all the functionalities!
You can view the live Demo GIFs in the section below.
Project Demonstration
The following GIF depicts how the project works covering all its functionalities!
Draw + Recognize Multiple Handwritten Digits
Clear Output
Feedback Button Functionality
For HD Video Demonstration, refer the following Google Drive Links:
| Demo Video Name | View Link |
|---|---|
| Recognize Digits | Click To View |
| Clear Output | Click To View |
| Feedback Button Functionality | Click To View |
How To Contribute?
Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Feel free to add new features and share it with me!
Feature Ideas I would Love To See Be Implemented:
- Add Text-To-Speech Functionality For Predictions
- Extend Recognition To Alphabets Using MNIST Alphabets Dataset
- Transform Into Web App!
- So much more,....
| Donate/Support | View My Work(In Progress!) | Follow / Connect With Me | Follow / Connect With Me |
|---|---|---|---|
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Show Some ❤️, Give a ⭐ To This Repository!
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