💡[Feature]: Bird Species Identification using Deep Learning #Streamlit

[praveenarjun]

Is there an existing issue for this?

• I have searched the existing issues

Feature Description

This feature leverages deep learning techniques to identify bird species from images. The user interface is built using Streamlit, providing an interactive and user-friendly experience for uploading images and viewing results.

Use Case

Data Collection: Gather a comprehensive dataset of bird images, labeled with their respective species.
Data Preprocessing: Perform preprocessing steps such as normalization, resizing, and augmentation to prepare the images for the deep learning model.
Model Architecture: Design and implement a convolutional neural network (CNN) model tailored for image classification tasks.
Training and Validation: Train the CNN model on the preprocessed dataset and validate its performance using appropriate metrics such as accuracy, precision, recall, and F1 score.
Streamlit Interface: Develop a Streamlit application to allow users to upload bird images and get real-time predictions on the bird species.
Model Evaluation: Evaluate the model's performance on a separate test dataset to ensure its generalizability.
Deployment: Deploy the trained model and Streamlit application to a cloud platform for easy access.

Benefits

Accuracy: Leverages deep learning to improve the accuracy of bird species identification.
User-Friendly: The Streamlit interface makes it easy for users to upload images and view results.
Scalability: Can be deployed on various cloud platforms and accessed from anywhere.

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Priority

High

Record

• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
We are here to help you on this journey of opensource, any help feel free to tag me or book an appointment.

[praveenarjun]

pls assign me this and give me labels

[praveenarjun]

Pls also have a look in #1313 if any issue make a comment

[sanjay-kv]

im not getting what you saying. i already assigned you @1313

[1313]

I don't think you mentioned the right @1313

[praveenarjun]

I have made the pr so just have a look on it

[github-actions]

Hello @praveenarjun! Your issue #1322 has been closed. Thank you for your contribution!