Deep Transfer Learning for Bird Image Classification

[Varunshiyam]

Have you completed your first issue?

• [X] I have completed my first issue

Guidelines

• [X] I have read the guidelines
• [X] I have the link to my latest merged PR

Latest Merged PR Link

PR no : https://github.com/UTSAVS26/PyVerse/pull/697 which Solved the Issue https://github.com/UTSAVS26/PyVerse/issues/674 PR no : https://github.com/UTSAVS26/PyVerse/pull/662 which Solved the Issue https://github.com/UTSAVS26/PyVerse/issues/617

Project Description

AI-powered Wildlife Conservation:

Deep Learning: CNNs (e.g., MobileNetV2), transfer learning, image augmentation. Data Sources: Camera traps, acoustic recordings, satellite imagery, sensor data.

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Applications:

Species identification & classification Wildlife tracking & behavior analysis Poaching prevention Habitat monitoring Predictive modeling (population, extinction risk, climate change impact) Tools: TensorFlow, Keras, ImageDataGenerator. Evaluation: Precision, recall, F1-score, accuracy.

Full Name

Varunshiyam

Participant Role

GSSOC, hacktoberfest

[github-actions[bot]]

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

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[Varunshiyam]

It is a Deep Learning Model which recognize the Images, thus it deserves Level 2

[UTSAVS26]

It is a Deep Learning Model which recognize the Images, thus it deserves Level 2

You are just adding a project and it counts under level1, but if you try to fix any bug or add new feature in the existing codebase that will be counted under level2 or level3.

[github-actions[bot]]

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!