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šŸ’« About Me:

šŸ”­ Iā€™m currently working with verisk as software developer
šŸ‘Æ Iā€™m looking to work with the best minds in the world
šŸ¤ Iā€™m a computer engineer
šŸŒ± Iā€™m looking to collaborate in an opensource community
šŸ’¬ I'm president of y_group of companies
šŸ’¬ connect me: https://bio.link/basant_babu_bhandari

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C C# C++ CSS3 Go HTML5 Java JavaScript Kotlin LaTeX Markdown Octave Python Azure AWS Firebase .Net Django DjangoREST Express.js FastAPI Flask Flutter JWT NPM Next JS NodeJS React Jenkins Nginx MongoDB MySQL MariaDB SQLite MicrosoftSQLServer Postgres Figma NumPy Keras Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Docker ESLint ElasticSearch Jira Kubernetes Postman Swagger Terraform

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Basant Babu Bhandari's Projects

datacollector icon datacollector

data collection android app to classify either a person is corona positive or negative(probability) based on their characteristics specially breathing audio sound

flashlightapp icon flashlightapp

simple flash light app which function is to on/off flash light of android mobile

flyingfishapp icon flyingfishapp

a simple game, in which fish have to eat healthy ball to survive

generation-of-nepali-hand-written-letter-using-generative-adverserial-network icon generation-of-nepali-hand-written-letter-using-generative-adverserial-network

The Generative modeling became recently one of the most important field in deep learning, and the Generative Adversarial Networks is the new research line in this field, the GANs have proven their ability to generate a high resolution of images and achieved remarkable success for computer vision in general, by the same way, we assume that this tool will be able to generate accurate Nepali letters. Our model uses Deep Convolutional Generative Adversarial Network architecture to generate the Nepali Handwritten Images after training on real-life datasets. It uses padding and strides to get better and good result than normal Generative network. Real- life datasets contains 36 different classes of Handwritten Images of size 64x64 which are feed to our model. We defined the Convolutional Neural Network Architecture for Generator and Discriminator with neccessary hyperparameters and then trained the model to generate output. The expected benefit of this work explores the potential to serve the Nepali calligraphy. As an impact for further studies in the future, this work may provide an insight into the possibility of generating new kinds of Nepali calligraphy.

image_resizer icon image_resizer

resize all the image of different size in to single size by python script

jwt_tool icon jwt_tool

:snake: A toolkit for testing, tweaking and cracking JSON Web Tokens

kingofbugbountytips icon kingofbugbountytips

Our main goal is to share tips from some well-known bughunters. Using recon methodology, we are able to find subdomains, apis, and tokens that are already exploitable, so we can report them. We wish to influence Onelinetips and explain the commands, for the better understanding of new hunters..

leaffrog icon leaffrog

https://basantbhandari.github.io/leaffrog/

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