Work-Life Balancer Chatbot (Life Pulse App)

Overview

The Work-Life Balancer Chatbot is a Python-based conversational assistant designed to enhance the functionality of the Work-Life Balancer app. The chatbot interacts with users to assist in task management and answer queries related to work-life balance. It integrates seamlessly with backend services to deliver real-time responses and personalized recommendations. The chatbot utilizes the Qwen LLM model with Ollama for query processing.

Features

• Natural Language Processing (NLP): Understands user inputs using Dialogflow or Rasa.
• Task Management: Assists users in creating, updating, and deleting tasks through chat commands.
• Mindfulness Tips: Provides curated tips to improve work-life balance upon user request.
• Progress Insights: Offers analytics and progress updates conversationally.

Tech Stack

• Programming Language: Node.js
• Framework: Express.js

Installation

Prerequisites

• Python
• FAST API
• Ollama
• Qwen Model

Steps

1. Clone the repository:

   git clone <repository_url>
   cd work-life-balancer-chatbot

2. Start Ollama

3. Install dependencies:

   pip install -r requirements.txt

4. Start the server:

   python chatbot_api.py