🧑‍💻: Add detailed README.md for Bird Image Classification project

[guptaniharika8953]

Title

Hi maintainers,

I am a GSSoC 2026 contributor and would like to work on adding a detailed README.md
for the "Bird image classification" project under Beginner_Projects.

The README will include:

• project overview
• installation/setup steps
• dependencies
• usage instructions
• model explanation
• example output

Please assign this issue to me if available.

Thank you!

Enhancement Aim

The aim of this enhancement is to improve the documentation and usability
of the Bird Image Classification project by adding a detailed README.md.

This will help beginners and contributors better understand:

• project functionality
• setup process
• required dependencies
• execution workflow
• expected outputs

The enhancement will make the project more accessible and contributor-friendly.

Changes

Adding READ.ME file

Screenshots 📷

N/A

Guidelines

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

Full Name

Niharika Gupta

Participant Role

GSSOC 2026

[github-actions]

🙌 Thank you for bringing this 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!

[guptaniharika8953]

Hi mentor! I have submitted this documentation PR
as a GSSoC 2026 contributor. Requesting you to
please review and add the gssoc:approved label.
Thank you! 🙏

[PranavAgarkar07]

Hi! I'd like to work on this issue under GSSoC 2026.

Approach: I will write a detailed README.md covering the Bird Image Classification project's dataset sources (e.g., CUB-200 or Kaggle birds), transfer learning architecture with ResNet50/EfficientNet, training pipeline with hyperparameter tuning, evaluation metrics (accuracy, precision, recall, F1), and a quick-start inference guide.

I have experience with Python. Please assign me this issue.