RICM4 2017 2018 : ChatBot: Difference between revisions
(Blanked the page) |
No edit summary |
||
| Line 1: | Line 1: | ||
= Project presentation = |
|||
The project subject : [[ChatBot]]. |
|||
The project consist of creating a chatbot which would be able to lead a conversation with a human being. |
|||
This bot will help the [https://handicap.univ-grenoble-alpes.fr/ SAH] (which stands for Service Accueil Handicap, located in Grenoble, France) to collect data about the users, namely thanks to forms. |
|||
During his conversation with the bot, the user will have access to different services : |
|||
* registering in the SAH by completing a form with the help of the bot |
|||
* asking for informations about the SAH |
|||
Two main constrains : |
|||
* the bot must be able to lead a conversation with disabled people |
|||
* it will be deployed on Facebook Messenger, which means the user must have a Facebook account |
|||
The original project mentionned that the chatbot had to be deployed on a tablet which is at the SAH, but this tablet is currently not availble and it's already used by another team of engineers. |
|||
= Team = |
|||
* Supervisor: [http://lig-membres.imag.fr/donsez/ Didier Donsez] |
|||
* Members: Julien Cordat-Auclair, Samuel Bamba |
|||
* Department: [http://www.polytech-grenoble.fr/ricm.html RICM4] (Polytech Grenoble) |
|||
= Calendar = |
|||
The project started on January 22th, 2018. |
|||
== Week 1 - 15, 21 Jan. == |
|||
Subjects were assigned. |
|||
First approach of the project: |
|||
* We collected a lot of documentation about chatbots |
|||
* We browsed [https://rasa.com/ Rasa]'s website, which was the library we had to use for our project |
|||
* We started to build the conversation tree |
|||
== Week 2 - 22, 28 Jan. == |
|||
Getting familiar with Rasa: |
|||
* We installed the required tools to use Rasa properly |
|||
* We started to use Rasa by doing simple tests |
|||
* We continued to build the conversation tree |
|||
== Week 3 - 29, 4 Feb. == |
|||
During this week, we met Dider Donsez as well as an enginner who worked on this project at the [http://fabmstic.liglab.fr/ FabLab]. |
|||
We've been tought how to implement the chatbot on the tablet in stock at the SAH. |
|||
We've also been told that Rasa wasn't the optimal solution to build our chatbot, so we had to find another solution that would be less constraining. |
|||
Hence, we left the idea of using Rasa and started to look for a better solution. |
|||
Meanwhile, we kept building our conversation tree. |
|||
== Week 3 - 5, 11 Feb. == |
|||
Revision as of 12:16, 12 March 2018
Project presentation
The project subject : ChatBot.
The project consist of creating a chatbot which would be able to lead a conversation with a human being.
This bot will help the SAH (which stands for Service Accueil Handicap, located in Grenoble, France) to collect data about the users, namely thanks to forms.
During his conversation with the bot, the user will have access to different services :
- registering in the SAH by completing a form with the help of the bot
- asking for informations about the SAH
Two main constrains :
- the bot must be able to lead a conversation with disabled people
- it will be deployed on Facebook Messenger, which means the user must have a Facebook account
The original project mentionned that the chatbot had to be deployed on a tablet which is at the SAH, but this tablet is currently not availble and it's already used by another team of engineers.
Team
- Supervisor: Didier Donsez
- Members: Julien Cordat-Auclair, Samuel Bamba
- Department: RICM4 (Polytech Grenoble)
Calendar
The project started on January 22th, 2018.
Week 1 - 15, 21 Jan.
Subjects were assigned.
First approach of the project:
- We collected a lot of documentation about chatbots
- We browsed Rasa's website, which was the library we had to use for our project
- We started to build the conversation tree
Week 2 - 22, 28 Jan.
Getting familiar with Rasa:
- We installed the required tools to use Rasa properly
- We started to use Rasa by doing simple tests
- We continued to build the conversation tree
Week 3 - 29, 4 Feb.
During this week, we met Dider Donsez as well as an enginner who worked on this project at the FabLab.
We've been tought how to implement the chatbot on the tablet in stock at the SAH.
We've also been told that Rasa wasn't the optimal solution to build our chatbot, so we had to find another solution that would be less constraining.
Hence, we left the idea of using Rasa and started to look for a better solution.
Meanwhile, we kept building our conversation tree.