Pravas Sarthi - A Convenience: MultiLingual Virtual Assistant

Travelling is a necessity nowadays since it breaks the monotony of life and work. Life, for many, has become a mad rush to such an extent that they have forgotten the essence of life. Travelling gives this very essence back to the people. Meeting new people, getting to know different cultures, visiting new places brings a level of peace to one's mind. But, people are more comfortable communicating in their own language when they feel perplexed in an alien area. This paper thus proposes a system that would ease travellers journey by helping them communicate in their native language. The proposes a novel rule-based algorithm which will extract the feature words from the sentence spoken by the user, performs preprocessing using Natural Language Processing(NLP) and based on some predefined rules, it will display the response to the query asked by the user. This paper thereby focuses on the societal benefits of all travelers in an airport with a language friendly system to make their travel comfortable across different cultures and backgrounds.

[1]  Pranay Madasi,et al.  Passenger information system with a virtual assistant , 2017, 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT).

[2]  Jim X. Chen,et al.  OpenGL Shading Language , 2009 .

[3]  Son Doan,et al.  Using Natural Language Processing to Extract Health-Related Causality from Twitter Messages , 2018, 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI-W).

[4]  Amjad Rehman,et al.  Language independent rule based classification of printed & handwritten text , 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

[5]  Sudha Morwal,et al.  Named Entity Recognition Using Hidden Markov Model (HMM): An Experimental Result on Hindi, Urdu and , 2013 .

[6]  Md. Ruhul Amin,et al.  Algorithm for Bengali Keyword Extraction , 2018, 2018 International Conference on Bangla Speech and Language Processing (ICBSLP).

[7]  Paul-Gerhard Plöger,et al.  Pedestrian indoor positioning using smartphone multi-sensing, radio beacons, user positions probability map and IndoorOSM floor plan representation , 2014, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN).