Feature request # Bird Species Identification using Deep Learning #Streamlit

[praveenarjun]

Is your feature request related to a problem? Please describe. Current bird species identification processes can be time-consuming and error-prone. There is a need for an efficient and accurate method to identify bird species from images.

Describe the solution you'd like Implement a deep learning model to identify bird species from images. Integrate this model with a Streamlit application to provide a user-friendly interface for uploading images and viewing identification results in real-time.

Describe alternatives you've considered Using traditional image processing techniques for bird identification. Developing a web-based application using other frameworks such as Flask or Django.

Approach to be followed (optional) Collect and preprocess a dataset of bird images labeled with species names. Train a convolutional neural network (CNN) model on this dataset. Develop a Streamlit application that allows users to upload bird images and view the model's predictions. Deploy the application on a cloud platform for easy access.

Additional context This feature will leverage the power of deep learning to improve the accuracy and efficiency of bird species identification. The Streamlit interface will ensure a seamless user experience.

[github-actions[bot]]

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. Your contributions are highly appreciated! 😊

[praveenarjun]

pls assign me and add labels

[github-actions[bot]]

Hello @praveenarjun! Your issue #180 has been closed. Thank you for your contribution!