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@article{151755,
        author = {Prashant Sharma and Shubham Pandey and Rahul Yadav and Niteesh Pratap Singh and Dr. Lalit Kumar Saraswat},
        title = {GENDER PREDICTION USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {888-892},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151755},
        abstract = {The objective of this project is to identify the gender of the individuals. This is a case of supervised learning where the algorithm is first trained on a set of female and male faces, and then used to classify new data. We have not taken genders other than male and female into account. A preliminary check has to be performed before running the application to make sure that the image is that of a human before classification begins. Python based gender recognition is an application in which machine learning is used for classification of images and python flask web framework is used for user interface. Application accepts input in two ways either through a web camera or through an input image. The input image is then passed to the machine learning model for the classification and the model outputs the resulting image annotated with gender of the person present in the image. Automatic face recognition aims to extract the meaningful pieces of information and put them together into a useful representation in order to perform a classification/identification task on them.},
        keywords = {Deep learning (DL), Machine Learning (ML), Convolutional neural networks, Classification.},
        month = {},
        }