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@article{188254,
        author = {Sinchana K N and Jeevan Gowda L S and Mohith Gowda H P and Nithin M G and Shashidhara H V},
        title = {Smart Recipe Generator Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1448-1454},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188254},
        abstract = {The rapid growth of digital culinary platforms offers users access to diverse recipes, yet navigating large collections remains difficult due to limited personalization and lack of visual analysis. Traditional recommendation systems rely on collaborative and content-based filtering but often overlook important visual cues in food images. This research introduces a hybrid Recipe Recommendation System that integrates Convolutional Neural Networks (CNNs) with text-based and collaborative filtering to enhance recipe suggestions. The system processes both food images and text inputs to classify dishes, identify ingredients, and generate relevant recommendations. CNNs extract visual features while NLP techniques analyse ingredients and cuisine details, enabling a more accurate multi-modal recommendation process. Experimental results demonstrate strong accuracy, fast prediction, and improved user satisfaction, highlighting the potential of deep learning to advance recipe recommendation systems.},
        keywords = {Recipe Recommendation, Deep Learning, Convolutional Neural Networks, Food Classification, Content-Based Filtering, Image Recognition, Multi-Modal Systems},
        month = {December},
        }