Bird Species Identification Demo

[NripeshN]

Objective: Develop a machine learning model using ivy to accurately identify various bird species from audio recordings of their songs. This project aims to aid bird watchers and conservationists by providing a tool that enhances the understanding and identification of bird species through their unique vocalizations.

Task Details:

• Dataset: Utilize the BirdCLEF 2021 dataset, which is available at BirdCLEF 2021 Dataset. This dataset comprises a comprehensive collection of bird song recordings from multiple species, serving as a rich resource for training your model to recognize and differentiate bird calls effectively.

• Expected Output: Contributors should submit a Jupyter notebook that clearly documents the journey of model development, from data preprocessing and audio feature extraction to model training and evaluation. The submission must also include the trained model files.

• Submission Directory: Your complete Jupyter notebook and model files should be placed in the Contributor_demos/Bird Species Identification subdirectory within the unifyai/demos repository.

How to Contribute:

1. Fork the unifyai/demos repository to your GitHub account.
2. Clone your forked repository to your local machine.
3. Create a new branch specifically for your work on the Bird Species Identification demo.
4. Develop your model, ensuring to document each step in the Jupyter notebook, from analyzing audio data to applying machine learning techniques for species identification.
5. Save your finalized notebook and model files in the Contributor_demos/Bird Species Identification directory.
6. Push your branch to your forked repository upon completion.
7. Submit a Pull Request (PR) to the unifyai/demos repository with a title that clearly reflects the project, such as "Bird Species Identification Demo Submission".

Contribution Guidelines:

• Make sure your code is thoroughly documented to ensure ease of understanding and replication.
• In your PR description, summarize your methodology, the insights you've gained, and any challenges you've faced during the development process.

[psood708]

Hi @NripeshN checking in on this repository , if I can contribute to this?