---
title: SmartFit
emoji: 🏋️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.3.0
app_file: app.py
pinned: false
license: mit
---

# SmartFit

This application utilizes a Random Forest machine learning model trained on a synthetic dataset of 10,000 user profiles to generate personalized workout routines. The system analyzes biological factors including age, gender, weight, and injuries to construct a tailored training regimen customized to the user's specific goals and equipment availability.

## Usage Instructions
1. **Input Details:** Enter your biological metrics (Age, Gender, Weight, Height).
2. **Configuration:** Select your desired Fitness Goal, Available Equipment, and Experience Level.
3. **Safety:** Indicate any active injuries to adjust the exercise selection logic.
4. **Generate:** Click Submit to receive a full, step-by-step workout plan.

## Model Specifications
* **Architecture:** Random Forest Classifier
* **Training Data:** 10,000 Synthetic User Profiles (SmartFit Dataset)
* **Logic Engine:** Python-based rule engine for load calculation and injury management.