AI-Powered Fitness Recommendation System πͺπ₯
This project is a personalized fitness assistant that tailors workout and diet plans based on user input. By analyzing key factors such as body type (ectomorph, mesomorph, endomorph), fitness goals, and user responses, the system generates AI-driven recommendations for optimal results.
β¨ Features
β AI-Based Recommendations β Smart workout and diet suggestions using machine learning. β Body Type Classification β Users are categorized as ectomorph, mesomorph, or endomorph for customized plans. β Interactive User Input β A step-by-step questionnaire to gather fitness preferences. β Goal-Oriented Planning β Supports weight loss, muscle gain, and overall fitness improvement. β Exercise & Nutrition Insights β Get detailed breakdowns of workouts, meals, and progress tracking.
π Tech Stack
Frontend: HTML, CSS, JavaScript Backend: Node.js, Express.js AI Model: Hugging Face API for intelligent recommendations Database: MySQL (for storing user responses & fitness data)
π How It Works
User Input β Answer key fitness-related questions (e.g., weight, height, activity level). AI Processing β The system analyzes responses to determine the best fitness plan. Personalized Plan β Get a custom diet & workout routine based on AI analysis. Progress Tracking β Monitor weight changes and fitness improvements over time. π Future Enhancements πΉ Integration with wearable fitness trackers πΉ More advanced AI models for better recommendations πΉ Gamification elements like achievements & challenges