Data Science Intern
WellPlanned Inc
Conducted econometrics research and designed machine learning models for travel cost prediction for startup which uses AI to plan user vacations.
Conducted econometrics research and designed machine learning models for travel cost prediction for startup which uses AI to plan user vacations.
Mentored over 150+ students in the US and India, focusing on enabling underprivaleged children with programming resources and skills.
Conducted research on Physics-Informed Neural Network alternatives to solving Partial-Differential Equations in the field of Computational Fluid Dynamics, generated over 35000+ solutions and creating a twice as efficient model as previous machine learning methods.
A small list of my personal projects, most done over hackathons, all of which placed me in the top 5 in the hackathon.
Poison AI is a hackathon project made by me and a friend, Rishab Jain. It is a machine learning model trained on over 6000 data points of poisonous vs nonpoisonous plants. It is an image classification model which classifies an image as either poisonous or not poisonous, with up to 95% accurarcy
Clarify is a convolutional neural network model deployed via netlify. The front-end is made using react. The backend is the CNN which is trained on a dataset of over 15k images of people's faces, designed to clarify/unblur their faces if given a blurry image of less than 50x50 pixels, with up to 99% accuracy using ResNets.
A random forest model which predicts the price of a house in California
A Python Flask app which uses a natural language processing(NLP) HuggingFace transformers model to summarize text.
Get in touch and let's talk. I'd love to hear from you! Email me at aardixit7@gmail.com or dm me on instagram @aarav.d18