Acknowledgements ================ **Sugaroid AI** has become possible to millions of open source developers. Particularly to mention, I would like to thank `@GuntherCox `_ for the ``chatterbot`` library and `@explosion `_ for `spaCy `_ , the machine learning library with which it was possible to make natural language processing easy as pie. Also, the millions of word collection on ``en_core_web_sm``, ``en_core_web_md`` was contributed by developers across the globe for translation and linguistic differentiation. Special thanks to contributors, **Sreya Saju** (aka `@sreyasaju `_) and **Joel Anil Chacko** (aka `@TheDarkDrake `_) for helping me document the missed parts, bug triaging and adding more responses, **Sruthi Raj** (aka `@blackxspade `_) and **Mathew K George** (aka `@Mat-Geo `_) for continuous bug triaging, and improving the sugaroid database, datasets and **Azra M Riyaz** for continuous testing and bug triaging. I would also like to thank, Sugar Labs 2019 GCI Team, **Sashreek Magan** (aka `@smag `_), **Andrea Gonzales** (aka `@andreagon `_), **Zakiyah Hasanah** (aka `@kiy4h `_), **Rishikesh Joshi** (aka `@Creatune `_), **Szymon** (aka `@sdziuda `_) and **Marcus Chong** (aka `@pidddgy `_) for continuous testing on servers and reporting bugs. It is only possible to rectify bugs with the help of repeated **testing**. I would like to thank **Kunhappu Andezhath** for his moral support and contribution to wh- type datasets. I would also like to thank friends and family who also helped me to work on this project. Along with this, I would like to extend gratitude to **Microsoft** for sponsoring `Sugaroid’s hosting on Azure `__.