How to Build Your Own AI Fitness Coach Using Open-Source LLMs and Gradio:

Author(s): Anoop Maurya

Originally published on Towards AI.

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In this tech-savvy age, why pay for a fitness trainer when you can build your own AI coach? Imagine having a custom workout plan tailored specifically for your goals, health conditions, and lifestyle. Using the power of AI, we can create a personalized fitness routine that adapts to your progress and keeps you motivated! In this article, I’ll walk you through the step-by-step process of creating an AI fitness coach using Gradio and LangChain with open-source LLMs.

Let’s break it down and explore how AI can transform your fitness journey.

We’re building an AI fitness coach that:

Collects user data like age, weight, and fitness goals.Generates a personalized fitness routine.Gathers user feedback after each session and updates the plan accordingly.Tracks your progress over time.Motivates you with encouragement and tips.

Sounds exciting, right? Let’s dive into the implementation!

LangGraph is like the mastermind behind multiple AI agents working together to get things done — think of it as the blueprint for how different tasks are managed, shared, and processed in an intelligent flow.

In a typical AI application, you usually have one agent doing all the work. But what if you… Read the full blog for free on Medium.

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Published via Towards AI