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The main idea of this project is to detect road accident using deep learning with pytorch as deep learning framework
Predict medical codes using deep learning on clinical notes
Location-based Attention Exhaustion to improve upon StyleGAN2 using newly developed attention mechanisms, a hypernetwork and a revolutionary activation function. TL;DR: StyleGAN3
Help dyslexic people with accessing text in public.
Deep learning framework for Newsvendor Problem
iNLTK aims to provide out of the box support for various NLP tasks that an application developer might need for Indic languages
Predicting metadata of NextBike rides
We humans are seamlessly able to detect someones health status from their face.We could use machine learning algorithms to spot human health status from there face with a great order of accuracy
An app that uses a chatbots custom images as meme like tiles to talk and diagnose illness using phone as stethescope
The Sparknotes for every article imaginable!
If we understand how people interact with our city, we can use technology to build a smarter city. Databox provides easy to use, real-time traffic information.
A tool enabling individuals with speech disabilities such as the deaf community to sign into a camera and have their alphabetical character interpreted in real-time, displayed on an O-led display.
Automatically create a self-preservation safety protocol for any autonomous or remote-control vehicle
Harness the power of computer vision and edge machine learning to promote sustainable agriculture.
Silo incentivizes sustainable agriculture
Creating an automated process which can sort different types of rubbish rapidly, reliably and, crucially, with no human input required.
Organize/visualize your thoughts and ideas into clouds!
traffic violation detector and reporter
Snap a photo and categorize your waste
4 different artworks are generated using Deep Learning models, each artwork will represent a weather season: Winter Spring Summer and Autumn and it's relation to human beings.
An art for the macine by the machine
culture&religion AI
we tried to find emoition style behind the best art of all time by training a DCGAN model. The result of GAN shows that the dataset is biased to sadness. Therefore, apply style transfer to happiness.
Representing bipolar disorder by drawing images shows diff situations, and by using Neural-Style algorithm In pyTorch library .We mixed two styles together then merge output image with our image.
