In this project, we apply currently available solutions to address incremental knowledge graph embedding to several applications to test their efficiency.
Trained a biLSTM model using both word and character level embeddings for information retrieval from text OCR outputs of ID cards
We created a state of the art Optical Character Recognition Engine specifically for Indian ID cards using a pipeline for document layout detection, foreground extraction, text detection, recognition and postprocessing
Deep Learning based Indian Sign Language detection for conversion to speech, a subsystem of the Hindi speech-Indian sign language interconversion system
Using traditional computer vision with deep learning algorithms for Anomalous activity detection from CCTV camera feed
Optical Character Recognition in Lecture Videos for the enrichment of Automatic Speech Recognition(ASR) system