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Building a chatbot from scratch thanks to RASA NLU. Most consequent project at the Institute of Technology of Dijon

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Checksem Chatbot

Building a chatbot from scratch thanks to RASA NLU. Most consequent project at the Institute of Technology of Dijon

The purpose was to build a smart bot that would be able to answer to specific questions about giving word's :

  • definitions

  • translations in many languages

  • related words / synonyms.

  • This bot first queries an NLU service (RASA NLU in this repo, but the online version http://chatbot.dorian-naaji.fr/ queries LUIS.AI)

  • According to the NLU service response, the bot will query DBPEDIA with the SPARQL syntax

  • Finally, the answer will be built and sent to the user.

With not much experience in Software Development / Engineering, my team and I still did a great job for beginners. It was a nice experience to build a chatbot from scratch. Nevertheless, the actual code is not really usable at it is, and is a bit spaghetti. If you need any help at setting up a chatbot, I'm sure there's nice websites and tutorials over the web.

Showcase

img-1 Definition of 'apple'

img-2 Words related to 'boat'

img-3 Translation of 'apple'. Some UI components are quite buggy ! 😅

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Building a chatbot from scratch thanks to RASA NLU. Most consequent project at the Institute of Technology of Dijon

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