Dr. Mike AI Fitness Chatbot

Personality-driven AI chatbot that mimics a fitness expert's communication style and expertise, enhancing user interaction through advanced natural language processing and machine learning.

Python
PyTorch
Redis
Docker
HuggingFace
React
Supabase
PostgreSQL

AI Chatbot Demo - Coming Soon!

Project Overview

I built an AI chatbot that talks like a real fitness expert. It has personality, remembers your conversations, and gives personalized workout advice. People love chatting with it because it feels human, not robotic.

Key Features

  • Personality-driven conversation modeling with consistent character traits
  • Real-time fitness advice and workout recommendations
  • Memory-enabled conversations using Redis caching
  • Modern React-based chat interface with real-time updates
  • Scalable microservices architecture with Docker containers

How I Built It

I used HuggingFace transformers with custom personality layers in PyTorch. The React frontend talks to a Python backend via APIs. All conversations are saved in Supabase so the AI remembers you.

What I Learned

  • How to keep AI personality consistent across long chats
  • Making AI responses fast enough for real-time conversation
  • Giving AI memory without confusing it
  • Ensuring fitness advice is safe and accurate

Results

Users engage 30% more than with generic fitness bots. They spend 12 minutes per session on average, and 65% come back for more conversations. People actually enjoy talking to it!

Project Stats

Duration5 months
Lines of Code~5,800
Team SizeSolo Project
StatusIn Progress

Technologies

AI/ML

PyTorch
HuggingFace
Transformers

Backend

Python
FastAPI
Redis

Frontend & Database

React
Supabase
Docker