Hand-Written-Digit-Recognition

[Raghucharan16]

Description

This pull request includes several enhancements and improvements to the Hand Written Digit Recognition project:

• Improved User Interface: The user interface has been enhanced to provide a more intuitive and visually appealing experience. The canvas for drawing digits has been redesigned for better usability and responsiveness across different devices.

• Performance Optimization: The performance of the digit recognition model has been optimized to ensure faster and more accurate predictions. The model now utilizes advanced machine learning techniques and optimizations, resulting in improved prediction speed without compromising accuracy.

• Code Refactoring and Organization: The codebase has undergone significant refactoring and reorganization to improve maintainability and scalability. Code duplication has been reduced, and modularization techniques have been implemented to enhance code reusability.

• Documentation Updates: The project's documentation, including the README file, has been updated to provide comprehensive and up-to-date information on project usage, development, dependencies, and licensing. Clear instructions on how to run the project locally and contribute to it have been added.

• Bug Fixes and Error Handling: Several bugs and issues reported by users have been addressed and fixed. Error handling has been improved to provide meaningful error messages and gracefully handle unexpected scenarios.

• These enhancements aim to provide a more robust and user-friendly Hand Written Digit Recognition system while optimizing its performance and maintainability. The improvements made in this pull request contribute to the overall usability and reliability of the project.

Fixes #1477

Type of change

Added a sub-directory with whole source code to the existing repo. All the files are in HandWritten-Digit-Recognition directory.

• New feature (non-breaking change which adds functionality)

Checklist:

• My code follows the style guidelines(Clean Code) of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have created a helpful and easy to understand README.md
• My documentation follows Template for README.md
• I have created the requirements.txt file if needed.

Category:

• Calculators
• AI/ML
• Scrappers
• Social_Media
• PDF
• Image_Processing
• Video_Processing
• Games
• Networking
• OS_Utilities
• Automation
• Cryptography
• Computer_Vision
• Fun
• Others

Title: Hand Written Digit Recognition

Folder: Hand Written Digit Recognition

Requirements: Requirements.txt

Script: app.py file (The main entry point of the program)>

Arguments: none

Contributor: Raghucharan16
Description: This pull request includes improvements to the Hand Written Digit Recognition project, such as an enhanced user interface, optimized performance, code refactoring, documentation updates, bug fixes, and error handling. These enhancements aim to provide a more user-friendly and efficient system for recognizing and classifying handwritten digits.

[github-actions]

Congratulations!! for making your first PR at Amazing-Python-Scripts, our mentors will review it soon.

[github-actions]

Due to inactivity this pull request has been marked as stale.