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meghanakotagiri's Projects

cnn-cifar-10 icon cnn-cifar-10

To fine tune moderately deep CNN so that it fits well to CIFAR-10 dataset

e-registry icon e-registry

Created cross-platform application that automates the process of creating and maintaining patient records and facilitates in report generation

indian-suicide-statistics---data-visualisation icon indian-suicide-statistics---data-visualisation

The goal of the project is to analyse and visualize the suicide data based on causes, demography etc. chronologically to find interesting and useful insights. The analysis and visualisations can help the medical institutions and Governments in understanding the existing scenario and in devising better suicide preventive interventions.

narrative-identification-on-social-media icon narrative-identification-on-social-media

Modeled social-media as a ”marketplace of opinions” where each post is seen as an investment by a user wishing to drive a topic in a certain direction leading to multiple narratives for that topic. Developed topic-modeling based algorithm to find all the narratives and their corresponding dominant sentiment for topics on Twitter.

sales-forecasting-for-weather-sensitive-products icon sales-forecasting-for-weather-sensitive-products

To predict the sales of potentially weather-sensitive products (like umbrellas, bread and milk) around the time of major weather events (a weather event is any day in which more than an inch of rain or two inches of snow was observed) at different retail locations.

visual-question-answering-in-medical-domain icon visual-question-answering-in-medical-domain

VQA is a multidisciplinary problem which combines two modalities: text and image. It requires computer vision and NLP techniques (probably, reasoning techniques too). The task is to answer a question correctly, where the question is accompanied by an image on which it is based.

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