zero-aysd

CNN_Devnagri

Devanagri Characters Handwritten Recognition using Keras, Tensorflow as backend, Flask for serving api and JQuery as frontend. Deployed via PaaS(Heroku)

american_sign_language

bark_docker_app

CodingChallenges

challenge solutions

DataStructures

EDA_Mailbox

Exploratory Data Analysis of Gmail Mailbox with pandas, numpy, matplotlib, seaborn

EDA_of_Fuel_efficiency_data

Exploratory data analysis of Fuel economy data of result of vehicle testing done at the Environmental Protection Agency's National Vehicle and Fuel Emissions Laboratory in Ann Arbor, Michigan, and by vehicle manufacturers with oversight by EPA.

Face-Mask-Detector-using-MobileNetV2

This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.

Naive_Bayes_DNA_squencing_classification

Sequencing of DNA strings using Naive Bayes Classifier

random_array_gen

utils

misc and research files

zero-aysd

Config files for my GitHub profile.