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Trishla's Projects

beep-boop-agatha-christie icon beep-boop-agatha-christie

Recurrent Neural Networks can be used as generative models and that is exactly what we will be trying in this project. We are using three public domain books by Agatha Christie, from Project Gutenberg, to train a sequence-to-sequence model to generate the first page of a non-existent book. We are feeding sentences from several of her books and then demonstrating the capability of our model to generate new sentences. Several models have been tested to generate the page.

cowin-slot-tracker icon cowin-slot-tracker

Tracker to check the covid shot slot availability in India and send mobile alerts via Telegram Bot.

ocular-disease-recognition icon ocular-disease-recognition

Ocular diseases i.e., diseases concerning the eye, are a problem affecting people all over the world. With advancements in Image Computing and Artificial Intelligence by reading images and processing them using Deep Learning, the idea that an algorithm can recognize an ocular disease by looking at its image and aid the physician in diagnosis is a useful implementation for the medical industry as a whole. In this project, we have implemented Deep Learning algorithms to read in images present in the dataset and classify said images based on the disease they are likely diagnosed with. The project was inspired by this dataset on Kaggle.

stem-salaries-prediction icon stem-salaries-prediction

Using data from LevelFYI to understand what is the salary range for a individual who has a Matser's Degree in Data Science

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