Kripanshu Bhargava's Projects
Code repository to maintain daily task of Advent Of Code 2020
The application to store and edit the contacts. This is an android application.
It is a random maze generator developed in javascript. It is the implementation of AI, with recursive Depth first search algorithm to find the path.
Asynchronous Programming in Python
It is a reservation system where all the departments are allowed to perform reservations. It uses algorithm to avoid the collision between departments bookings.
coding practice for algorithms, data structures, database etc CS topics
The covid drone tacker app uses drone to stream video and detect who is wearing mask and who is not. The idea is to collect data.
Implementing a rudimentary sql engine using B-plus tree
A social networking website which let developers around the world connect to each other.
My dotfiles
Real time face-mask detection using Deep Learning and OpenCV
Folder / directory structure options and naming conventions for software projects
Gift registry application - A responsive Web application for gift registry with properly working database and smart front end. Front-end: Angular 4.0.0, bootstrap:4.0.0 beta, font-awsome, popper.js, HTML5,CSS3 Micro Services: Spring and Hibernate with Ehchache Web Services: Spring and Hibernate with TSL/Https secure certification. DataBase: MySql
Machine learning Bot which keeps track of your job applications on Gmail and automatically updates the record.
Config files for my GitHub profile.
Attempt to make own portfolio
My portfolio and projects [ Website down, Will be back soon ]
In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm, and is typically used in the machine learning and natural language processing domains.
It classifies the spam mails into spam and non-spam mail on the basis of features.
The project aims to measure the similarity between sentences using Natural Language Processing tools like WordNet, NLTK. The Application works on semantic and syntactic features and then evaluates them using Machine Learning classifiers such as Logistic Regression and SVM ( SKlearn).
Basic applicaiton to show how nest js is capable of maintaining microservices.
Extracting the required sentences using the regex parsing and applying the n-grams prediction over the corpus using the extracted sentences. The output helps in auto-completion and sentence predictability.
Implementation of the Viterbi Algorithm
A phishing detection tool which uses online phishing repositories and WOT to check the URL.
Skin cancer classification using Inceptionv3
Todo app made using Node.js and Express
A web application for data exploration, statistical analysis, model construction and meta analysis tools, that integrates with Zelig and Dataverse.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent