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Road-Cracks-Detection-Neural-Network-
A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.ByteNet
ByteNet is a social networking site built with Django and bootstrap.CNN-Vs-SVM-
An analysis and comparison of Convolution Neural Network and Support Vector Machine Model for identifying colored images.Reddit_Youtube_Auto_Video_Uploader
Instagram-Glasses-Filter
A model for adding sun glasses on user's face in real time, implemented by Keras and HaarCascade ClassifierText-Summarizer
An algorithm to summarize a given piece of text. This algorithm needs number of sentences and text to be summarized to provide a nearly accurate and relevant summary.Article-Writing-Platform
A simple NodeJs app built for writing articles comprised with user authentication such as login and registration.C-Codes
Machine-Learning-Codes
Some simple machine learning algorithms and codes in python and jupyter notebook.Youtube-Spam-Classification-Using-Naive-Bayes
Rude-Bot
Java-Codes-of-Implementation-of-Data-Structures-
Basic codes related to data structures and oops.Foorder-Backend
A food ordering app backend build uusing Spring-Boot, Postgres, MongoDB, Docker and KubernetesSound-Generator-Web-App
A fun web application which generates sounds and random colors upon hitting alphabet keys on keyboard .To-Do-List
A web application to track down your daily activities.20-NewsGroup-Classification
A Naive Bayes classifier for classifying 20 types of emails.are_binary_trees_identical
A practice code whether two binary trees are identical or notColor-Game
A fun web app using HTML 5,CSS and JS. Concept of RGB color codes is used too.Number-Facts-Web-App
This is a web app which fetches numbers api and returns an interesting fact about it. Built using HTML, CSS and JavaScript.CIFAR10_SVM_Analysis
This is an analysis of CIFAR10 data set containing many images using SVM Classifier. Principle Component Analysis is also used to enhance speed and accuracy of the model.Love Open Source and this site? Check out how you can help us