About the project

This BirdNET-powered bird identification and analysis tool is designed to process bird sounds from audio recordings. It analyzes the sounds to identify bird species and presents the results in an organized format for easy reference.

The tool organizes key information such as:

• File Information: Each recording is labeled with its filename, location, and start time, making it easy to track and organize multiple recordings.
• Bird Identification: The tool uses AI to identify bird species based on the sounds in the recordings. Each identified species includes confidence levels indicating how certain the tool is about the identification.
• Occurrences: The program tracks how many times each bird species appears in the recording, with detailed timestamps showing when these occurrences took place.
• Analysis Parameters: The tool also tracks settings like the sensitivity of the analysis and the confidence level, which influence how bird calls are detected and identified.
• Location and Time: The tool records the location and time of year for each recording, providing context for when and where the bird sounds were detected.

The program is designed to handle large amounts of data, organizing it into categories such as bird species, timestamps, and locations. Users can view, compare, and export this data as needed.

The tool also includes graphing features to help visualize the data. It provides clear, detailed charts that show the distribution of bird species occurrences, confidence levels, and other key metrics. These graphs allow users to see trends, patterns, and insights at a glance, making the analysis more intuitive and easy to interpret.