Projects

AWS, Jenkins, Ansible, Kubernetes, GitHub, Video

This is a deme of CI/CD pipeline, created using Github for version controle, Jenkins for creating pipeline, Maven to build, Ansible for server managment, and finally Docker and Kuberneties for deployment.

Golang, Postgres, API, PASETO, AWS, Docker

The application is designed to be scalable, extendable and deployable. It has various APIs for a banking website, the APIs are secure through PASETO tokens, the code is dockerized and is deployed on AWS EKS.

Vue, Java, TypeScript, MySQL, API, Testing

Is a web application created in Vue to sell books, the app is connect to MySQL DB. The app has REST APIs for fetching data, used Pinia to store data in browser. Has Client and server side validation and testing.

Angular, Tableau, Heroku, Docker

carboncount.tech was created for visualization of Carbon emission across various countries.

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HTML, MLH Hack, GitHub, Video

momblebee.tech is a platform which offers 3 services such as Babysitting, Carpool, Tasks that can bartered between parents for free of charge

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Java, GUI, Testing, JavDocs

Is a river crossing puzzle game, each puzzle requires you to get all of the characters across a river in a small boat. The game consists 2 levels (Farmer game and Monster game).

Python, Machine learning, Report

To study significant changes in the mobility patterns and linked public behavior, we developed a Machine Learning model based on DBSCAN to understand the impact of the pandemic on urban mobility across different sections of the society

Python, Computer vision, Video, Report

We created the following algorithm which uses feature matching, triangulation of points, making bundle adjustments, and finally merging point clouds by the iterative closest point algorithm to reconstruct a 3D view from a collection of images.

Kotlin, Design Patterns, Video

It is a duck simulator which incorporates various design patterns. In this simulation you can pick various ducks and perform actions such as flying, quacking, create a flock, add ducks to welcoming committee and remove ducks.

Python, Multi-class SVM, VGG, Report

Used MSVM alone with pre-trained VGG 19 network to extract color and texture features. MSVM demonstrates a robust disease classification of plant leaf images with an accuracy of 89.94%

HTML, CSS, PHP, MySQL

This application was created to store the secrets diary safely. The application was accessible only with username and password.

MATLAB, Character Extraction

Developed automatic license plate recognition system to recognize the number plate of a car using MATLAB. The system included pre processing, character extraction and template matching