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digit-recognition-

Scikit Learn digit recognition using KNN Classifier and Mnist Dataset

emotion-recognition-from-speech-signals-over-the-tess-dataset

Emotion Recognition using matlab (Machine Learning using SVM and Random Forest)

face-detection

face detection using python and pandas

gender_classification_webapp

A simple gender classification application using SVM model developed using Flask.

grid_search_cv

Simple grid search cv method to perform hyper parameter tuning on SVM for a simple and easy classification task.

gui-data-handling

A data management GUI based application to help in operating data.

idcbreastcancer_histopathologyimages_deepresiduallearning

IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.

image_recognition_basics

Basics on Image Recognition

interactive-dictionary

Dictionary with suggestion for wrong spellings, developed using python script and file handling with Jason.

leetcode-python

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

motion-detection

Motion detection using Webcam developed using python and pandas and image and video processing

newsscraper

nmt--chatbot

Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.

object-classificarion-resnet50

Object Classification using Resnet50 Network on cifar10 datasets from keras.

object_classification_deep_residual_seperable_cnn_with_vgg16

Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16

pneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22

Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.

python-game

A GUI based racing game using pygame and python.

python-game-2

Another python game using pygame

speech-dictionary

This is a suggestive dictionary based on what you say developed using python .Input is in form of speech and output is also in form of speech

speech-to-text-dictionary

The input is what you say and output is in form of text

tesseract_icr-sheets

A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.

text-to-speech

Text to speech conversion using python

webmap-population

A web map representing population density and important places developed using file handling with python.

website-blocker

Website URL's blocked by writing them into a file using file handling with python.