Research: MidcurveNN: Encoder-Decoder Neural Network for Computing Midcurve of a Thin Polygon
Various applications need lower dimensional representation of shapes. Midcurve is one-dimensional(1D) representation of a two-dimensional(2D) planar shape. MidcurveNN, a novel method, uses Encoder-Decoder neural network for computing midcurve from images of 2D thin polygons in supervised learning manner.
Information Retrieval competition at FIRE 2017 IRLeD track. Submission was done as Right Steps team.
1st prize winning entry, a CRF based solution was submitted at the competition... <See Results>
8th ranked entry, a Regex+Doc2Vec based solution was submitted at the competition... <See Results>
A chat bot for queries related to Goods and Services Tax (GST) in India. This is a beginning (primitive/simplistic) version to be built upon further to be practically useful. <Read Article> <Watch Video>
With thousands of court cases to refer, a lawyer would need a smart assistant to extract highly relevant information about the case s/he is building. Here is a PoC of such NLP based solution... <Watch Video>