Food Chatbot – Tesseract Technolabs

Case Study

project description

With This project, we created a chatbot where users can search for hotel information, food menu, services, and amenities.
This chatbot was created for a startup whose business idea was to connect every hotel and restaurant within one application so that users can easily search for the menu and services available at the hotel easily.
The Chatbot was created in Python using NLP libraries.
So users can directly search for any of his/her requirements or he/she can also check the list of available items with food and services.

Technologies used

To implement this chatbot we used Python as our main language because it has various tools available to perform NLP tasks.
To perform NLP tasks we used the NLTK library of the python
The Deep Learning mode was created in TensorFlow.

Difficulties we faced

The most difficult part to implement this chatbot was that we need to connect with a huge database and it was not structured, so fetching and formatting data became more difficult.

Solutions

To overcome this situation, we performed an analysis of the database and implemented the entire logic for filtering and fetching data in python itself.

NLP

6 months

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