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@article{151726,
        author = {Ayush Srivastava and Arif Abbas Rizvi and Aditi Gupta and Manvi Garg},
        title = {Recipe Detector},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {605-608},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151726},
        abstract = {In this paper, we have proposed a recipe detector application which can run on client cell phone in an intelligent manner. The target of this venture is to work on the client assignment and assist them with making dishes with less assets and financially savvy. This application will decrease food wastage and will give most precise outcome to the client. This application depends on ML with unsupervised learning. We will utilize information mining and information examination for foreseeing the output. The sub domain or the methods that are utilized here is clustering. This method will assist us with building the database of this application which is most significant part. The more information we can gather the greater usefulness and assortment can be included the application later on. Barely any algorithm that will be required in this application are pattern matching for filter and searching for search operations. In the backend we will construct API for storing the data from the user and also for displaying the result that the user wishes to see.},
        keywords = {Recipe Detection, Pattern Matching, Clustering, Android Application, Amazon Web Service Database},
        month = {},
        }