
Smart Refrigerator: A Deep Learning based Recipe Recommendation System
I trained 2 models to detect food items in the fridge and recommend recipes based on that.
I am a Computer Engineering grad student at University of Waterloo, ON. My areas of interests lie in Machine Learning, Computer Vision and Web Development. Please check out my github to know more about the projects that I have done. In my free time I enjoy running and gaming.
I trained 2 models to detect food items in the fridge and recommend recipes based on that.
I developed a full stack web application using Django and React that webscraps live data from 3 grocery websites (Walmart, Zehrs and Sobeys) and helps save on the grocery bill.
I devised a prototype which graded and quality tested rice granules using the Probabilistic Neural Network
Trained a Gender Prediction model using Convolutional Neural Network. Using this project, we can determine the gender of the individual by simply scanning their eyes.
Developed a complete blogging website in which users can create profiles, login to their accounts, create new blogs, edit them and also delete them.
Based on the dataset available on kaggle I trained several classifiers to predict whether a company will get bankrupt or not.
I trained various classifiers and neural networks on the MNIST dataset to predict handrwiting.
Worked on a Vial Counting System that detects the total number of vials in a tray for the Serum Instite of India.
This is a live website I made for a Non Government Organization that aims at funding education of the children of war veterans that gave their life for the country. (click here to view source code)
Made a notes App strictly using java script. User can add, delete and search through the notes. (click here to view)
Made a To-Do list App using React.JS. The Web App is is a single page application where you can create and delete a To-Do list.
This is a website I made to regularly post pictures I took of nature. (click here to view)
If you want to get in touch with me you email me at the given email address or call me at the provided number.