This repository is for the Final Project for DSAP1718
-
Updated
Oct 23, 2017 - HTML
This repository is for the Final Project for DSAP1718
A deep learning-based application that identifies bird species from both images and audio recordings. It uses MobileNetV2 for efficient image classification and CNN models trained on spectrograms/MFCCs for audio analysis. Built with TensorFlow, PyTorch, and Librosa, and integrated into a Flask web app for real-time predictions.
Add a description, image, and links to the mfcc topic page so that developers can more easily learn about it.
To associate your repository with the mfcc topic, visit your repo's landing page and select "manage topics."