Interactive Project Overview

A foundational rule-based chatbot designed for fitness enthusiasts. This interactive experience breaks down the project's features, limitations, and future potential.

Project Highlights

This project showcases several key software development and NLP concepts. The core technical strengths are broken down into digestible, visually appealing chunks below.

Rule-Based Logic

Implements a system of predefined rules and regular expressions to respond to user queries effectively.

Basic Context Management

A simple mechanism remembers the last user intent, allowing for more natural follow-up conversations.

Robust Input Handling

A dedicated function preprocesses user queries to normalize text for more reliable pattern matching.

Features Explorer

Experience the chatbot's capabilities! Type your own questions into the terminal below, or click on the sample queries to see instant responses.

bash -- FitnessBot

Chatbot: Hello! I'm your Fitness Bot.

Project Roadmap

This project lays the groundwork for more advanced AI concepts. This chart visualizes the estimated complexity of future enhancements, demonstrating foresight and planning.

How to Run

1

Prerequisites

Ensure Python 3.x is installed on your system.

2

Clone Repository

Download or clone the project files from its Git repository:

git clone https://github.com/Akki-jaiswal/fitness-chatbot.git
3

Execute Script

Navigate to the project directory and run the script from your terminal:

python chatbot.py

Future Development Areas

  • Intent Recognition with Machine Learning: Transition from rigid rules to ML models for more intelligent understanding of user intent.
  • Entity Extraction: Develop capabilities to identify and extract key pieces of information (e.g., specific exercises, food types) from user queries.
  • Advanced Context Management: Implement a robust system to remember and utilize conversational history for more coherent and personalized interactions.
  • Integration with APIs: Connect to external fitness APIs for real-time data, such as calorie databases or detailed exercise instructions.
  • Web Interface: Build a full-fledged web application (e.g., using Flask or a frontend framework) to make the chatbot accessible via a browser.
  • Database Integration: Incorporate a database to store user preferences, progress, or custom fitness plans.