Closed RajKhanke closed 2 weeks ago
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@sanjay-kv please assign labels and level as well after review
Issue no . 306 In this project i have developed a gender classification web application using deep learning model of CNN to classify gender into two categories as male and female with an average accuracy of 90 % of the model. The web application is developed using html, CSS and flask server. The system is able to classify image by taking input both as uploaded image and webcam.
I have trained the model under a notebook on Kaggle dataset of approx. 50,000 images under .ipynb file which includes following steps : 1) Data preprocessing and augmentation 2) EDA 3) model training and evaluation 4)results and analysis
output directory contains the images related to web app and output. templates directory contains html files static directory contains CSS files A complete readme.md file is provided for reference All instructions in contributor.md are obeyed while making this PR.
@sanjay-kv as a Gssoc 2024 contributor, I request you to merge this PR