Bangla is the mother tongue of millions of people all over the world.Despite of being a very popular language, any social virtual robot that can intelligently communicate in Bangla is a fairytale till now. One of the main reason of this is lack of rich text corpus and previous research on Bangla language. The proposed Bangla Intelligent Social Virtual Robot can communicate in Bangla intelligently and can express its reflective emotion virtually with the help of machine learning algorithms and sentiment analysis.In this paper we discuss the approached system, design methodology and implementation details of first ever Bangla virtual embedded robot followed by the methodology of building a rich Bangla text corpus. The proposed embedded virtual robot turns out better performer when compared with only known Bangla intelligent chatbot named 'Golpo' and the embedded system performance efficiency has been upgraded with the help CPU over-clocking technique v ACKNOWLEDGEMENTWe would like to express our sincere gratitude to The Most Merciful Allah who blessed us with patience, determination, ability and opportunity to complete the research work within time.We would love to thank from the core of our heart to our supervisor Dr. Amitabha Chakrabarty who has accepted us to do thesis under his supervision and has helped us to complete it within time with his valuable guidance and advises. We are fortunate and grateful to be able to work under his supervision.We are grateful to the online based group "Vasha Shainik" who have helped us translating English subtitles and providing all of their work till now in order to build the first ever Bangla text corpus. Without these dedicated, hardworking and patriot soul, the long cherished Bangla Corpus still would have remained a dream. Moreover, we are under obligation of Dr. Ashraful Alam for providing us utmost support and his credit card to that helped us bearing the expenses of this virtual robot.Finally, we are grateful to all of our family members and faculty members of Department of Computer Science and Engineering, BRAC University for believing in our ability and for supporting and encouraging us through thick and thin. vi

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