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@article{169965,
        author = {JEYAGANESHKUMAR and JANANI P and JOVITHA R and KANIMOZHI P},
        title = {Predicting Bird Species Using Convolutional Neural Network},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2846-2847},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169965},
        abstract = {This project aims to assist amateur birdwatchers in identifying bird species through images by leveraging a multimodal machine learning system. Using Convolutional Neural Networks (CNNs) for image classification, the system overcomes challenges like high intraclass variance, diverse poses, lighting conditions, and backgrounds. The user-friendly interface enhances accessibility for birdwatchers, researchers, and conservationists, contributing to ecological monitoring and conservation efforts.},
        keywords = {Bird Species Identification, Convolutional Neural Networks (CNNs), Image Classification, Machine Learning},
        month = {November},
        }