Learn more about me
I sincerely believe in Henry Ford’s quote: “Anyone who keeps learning stays young” and I personally follow the principles of a student who learns from the uninterrupted pace of evolution on this blue sphere: genetically, technologically, economically and socially.
My name is Kanishka, I am final year student pursuing bachelors in Technology in computer science from Symbiosis Institute of Technology.I am vivid learner seeking for opportunities where I can experiment with technology with the skills that I know and the skills that I learn further.I am constantly looking out for ways to learn, improve and thus create an impact on product, process and people.
Internships
Projects
Course Certificates
Open Source Contributions
Accolades
A solo project titled ‘Predictive Analysis of Tool Wear of Milling Machine using Acoustic Emission’.Spectrograms were created to predict tool wear through a functional model using Transfer Learning and Image Regression using algorithms like Cnn basic,Resnet50,InceptionV3,MobileNet
A structured dataset is created based on Indian food recipes and given an overview of the whole process thus presenting the difficulties. The project includes crawling and scraping the data at first from the web by searching through 350+ different links.Specific things from the page is scraped and stored in an excel file which is then preprocessed and regression analysis is performed on the dataset to validate the data. The models applied on the data are CNN and LSTM. We compare the two modalities which are long text and image. As both the modalities show a significantly good performance, we have developed a nutrient assessment system that has a web interface to determine nutritional information based on the input received as an image of a dish or a recipe instruction.
It aims at providing user satisfaction in searching about the city by allowing one access to all the information related to the city providing details of Hotels,Restaurants,Tourist places,providing functionalities like geolocation,navigation and reviews.This is a Desktop based GUI application built using Java,Swing,Html,MySQL
Iot ,Unreal Engine are used for creating terrains and connecting hardware with the skateboard and phone to implement VR skateboard,this implementation is further extended to Metaverse concept where it is made 3 dimensional multi-player game
It is a game of two players -2D "Street Fighter" Style Fighting Game. Language and tools used- Java with a fleshed out Run-Time Engine, SpriteSheet Algo, State management, and characters
Drug Prediction using ml algorithmslike Decision Tree ,K nearest neighbours. Binary class classification is performed using Decision Tree where the classes are converted into 2 labels only. Knn is used to perform Multiclass classification .Presicion and recall used for accuracy prediction which came out to be 95% for Decision Tree and 92% for Knn
Contact Me
Jaipur,Rajasthan
kanishka.kataria99@gmail.com
+91 6375265249