feat:bird species classification using deep learning

[IkkiOcean]

Pull Request for DL-Simplified 💡

Issue Title : Deep Learning Models for Bird Species Classification

• Info about the related issue (Aim of the project) : This project aims to develop an automated solution using deep learning to accurately identify bird species from images, helping in research, conservation efforts, and birdwatching communities.
• Name: Vivek Prakash
• GitHub ID: IkkiOcean
• Email ID: vivekprakash.st@gmail.com
• Idenitfy yourself: GSSOC-extd and hacktoberfest

Closes: #843

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

The models were fine-tuned using the dataset to achieve optimal performance for bird species classification. Pretrained ImageNet weights were used as a baseline, followed by specific training on the bird species images.

Implemented Models:

The following advanced deep learning architectures have been applied for the classification task:

• InceptionResNetV2
• EfficientNetB0
• InceptionV3
• VGG16

Type of change ☑️

• My code follows the code style of this project.
• New feature (non-breaking change which adds functionality)

How Has This Been Tested? ⚙️

• My code follows the code style of this project.
• 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.

[github-actions]

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

[abhisheks008]

Hi @IkkiOcean you have to be assigned to an issue first, then only you can push your code. Otherwise this will lead to non-compliance for violating the code of conduct.

Closing this pull request.