Chatbot Project

Overview

This project consists of a chatbot designed to interact with users experiencing various emotional and mental health issues. The chatbot uses predefined scenarios to guide conversations and provide support based on user input.

Project Structure

• ui1.py: Contains the user interface code for interacting with the chatbot.
• chatbot.py: Contains the core logic and functionalities of the chatbot, including how it processes user input and navigates through different scenarios.
• scenarios.json: A structured file that outlines different conversational scenarios the chatbot can handle. It includes nested scenarios to address a wide range of user concerns.
• user_interactions.log: Logs the interactions between users and the chatbot for further analysis and improvement.

Scenarios

The scenarios.json file contains a comprehensive set of scenarios that the chatbot can use to guide conversations. Some key scenarios include:

• Anxiety
• Trouble sleeping
• Overwhelming workload
• Relationship problems
• Loneliness and isolation
• Depression
• Panic attacks
• Grief and loss

Each scenario can branch into sub-scenarios, allowing for deeper exploration of the user's feelings and experiences.

Example Structure

A scenario is structured with prompts and visible text to guide the conversation. For instance, the "I am feeling very anxious lately" scenario contains sub-scenarios like "Can you tell me more about what is making you feel anxious?" and "Do you experience physical symptoms as well?".

Getting Started

1. Installation: Ensure you have the necessary Python libraries installed to run the chatbot and UI scripts.
2. Running the Chatbot:
   • Execute frontend.py to start the user interface.
   • The chatbot will use chatbot.py to process interactions.
3. Using the Scenarios: The chatbot utilizes the scenarios.json file to navigate conversations based on user input. Modify this file to add or update conversational paths.

How It Works

• The chatbot starts with a general question or statement and uses user responses to navigate through different scenarios.
• Each user input triggers a search within the scenario structure to find the most relevant follow-up prompt.

Contributing

Contributions to this project are welcome. To add new scenarios, update the scenarios.json file following the existing structure.

License

This project is licensed under LICENSE.