Deep Transfer Learning for Bird Image Classification

[Varunshiyam]

Have you completed your first issue?

• I have completed my first issue

Guidelines

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

Latest Merged PR Link

PR no : #697 which Solved the Issue #674
PR no : #662 which Solved the Issue #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.

---

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]

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

Feel free to join our community on Discord to discuss more!

[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.