🔹Wellness Tracking Assistant 🤖

🔸Overview:

This repo contains all the neccesary chatbot files, i.e RASA project files. The aim is to train the assistant to identify the user's intent, ask few health-related question, and store the retrieved data into spreadsheet. The implemention of this project is done using RASA Open-Source and RASA X. Refer below steps, in order to run and test the bot in conversational-driven development environment, accesing the application through Chrome Extension.

🔸Concepts:

• ChatBot Development
• Natural Language Processing

🔸Tools & Technologies:

• RASA: Open source
• Rasa X
• Anaconda virtual environment
• Python
• Javascript
• HTML
• GTmetrix Analyzer Plugin

📌NOTE: Some of the features may fail after Rasa 3.0 version update. Refer version-migration-guide for version migration.

🔸Installation Guide:

• To install Rasa:

pip install rasa

• To install Rasa x:

pip install rasa-x

🔹Implementation:

Step 1: `rasa init`: This command creates a new Rasa project in specified directory 
         with example training data, actions, and config. files.
Step 2: Train the rasa assistant with suitable examples in NLU traning data directory.
Step 3: To test the trained model thorugh command line interface run `rasa shell` in your terminal.
Step 4: Running `rasa x` command should open a browser tab to `http://localhost:5002/`,
        in order to start the user-inetraction with trained bot in a conversational-driven environment.

🔹References:

• Rasa documentaion
• Chrome Extension

🔹Contribution:

Contributions are always welcomed. Make sure you read the Contribution info before making pull request.

🔹Screenshots:

Command Line Interaction:

🔸Chrome Extension:

🔸Interaction with Bot:

🔸Rasa X:

🔸Wellness report form: