Manipuri Meetei-Mayek Character Recognition

[Sgvkamalakar]

Pull Request for DL-Simplified 💡

Issue Title : New Add-On

• Info about the related issue (Aim of the project) : The objective of the project is to develop a robust hybrid model combining CNNs and LSTMs for accurate recognition of handwritten Meetei Mayek characters.
• Name: Kamalakar Satapathi
• GitHub ID: sgvkamalakar
• Email ID: sgvkamalakar@gmail.com
• Idenitfy yourself: SWOC S4

Closes: #issue number that will be closed through this PR: New Feature Add-On

Describe the add-ons or changes you've made 📃

The project adds a novel approach to recognizing Meetei Mayek characters by combining CNN and LSTM architectures for improved accuracy and robustness.

The hybrid model combines CNN for spatial features and LSTM for temporal patterns, enhancing accuracy in Meetei Mayek character recognition.

• Data Collection: Gather samples of Meetei Mayek characters.
• Data Preprocessing: Resize images, split them into train/test sets, and convert them to numerical arrays.
• Model Architecture Design: Design hybrid CNN+LSTM architecture for character recognition.
• Model Training: Feed preprocessed data into the model, and train over multiple epochs.
• Evaluation: Assess model performance using metrics like accuracy and loss.

Type of change ☑️

What sort of change have you made:

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

How Has This Been Tested? ⚙️

• Describe how it has been tested: Cross-validated the model results using standard evaluation metrics like accuracy and loss.

• Describe how have you verified the changes made: Conducted a thorough code review to ensure that the changes align with the project goals and coding standards.

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Sgvkamalakar :)

[abhisheks008]

You have been assigned to the Persian Alphabets Classification using NLP not in this issue. Here is your assigned issue #415 @Sgvkamalakar

[Sgvkamalakar]

I am about to submit a PR on the issue #415 soon..
In the meantime, I have submitted a PR which introduces Meetei-Mayek Character classification

[abhisheks008]

This will not help, this issue was not even created here in this repository. Please make the PR of the assigned issue only.