Visit rishabh14.now.sh for my portfolio.
I'm Rishabh Varshney and currently in my third year of bachelor's degree in Computer Science. This portfolio is compilation of the projects, Research Papers that I have implemented and Notebooks in which I have done EDA.
Trained an attention-based Encoder-Decoder model on Chemical to Name Dataset scraped from wikipedia to predict the chemical name of any (real or not) chemical formula given to it. Used Streamlit to create a web app for easy interaction with the model. Check the code on GitHub and Live app here.
Created a Julia package for easy downloading and creating dataset from Google's OpenImages for any project. Check the code on GitHub.
Scrape data from the PM Narendra Modi's official website and used it to do analysis. You can check the analysis here. Data scraped can be found on my github repo here.
In this project I use Google's Open Images Dataset to train Retinanet (backend by resnet) to tell what items are present in the image. i use keras-retinanet model for this project. You can check the code here and the live app here
In this project I use MNIST handwritten dataset to generate a sequence of 5 digits and trained it on a model that I created with keras. You can check the code here
Created a programming language based on the Monkey Lang. It has basic data types like integer and string along with functions and if-else. Consists of additional functionality like while loops apart from Monkey Lang. You can check the code here.
In this project I used various sorting algorithms and visualise them using matplotlib. Sorting algorithms that I use are Selection Sort, Bubble Sort, Insertion Sort, Merge Sort, Quick Sort. You can check the code here.
Used ReactJS to create a webapp for Covid-19. Display current number of deaths, infected and recovered globaly or by countries. Used Netlify for hosting the web application. You can check the code here or the live version here
I use this dataset from Kaggle and did some data analysis and visualisation on it. You can check the notebook here