Zenfit

A smart fitness tracking application with AI-powered predictions and insights.

Overview

Zenfit is a comprehensive health and fitness tracking platform that combines workout logging, nutrition tracking, and machine learning to provide users with personalized insights and predictions about their fitness journey.

Features

Core Functionality:

• Track workouts with detailed exercise logging (sets, reps, weight, duration)
• Log nutrition and monitor calorie intake
• Visualize progress with interactive charts and analytics
• Set and monitor fitness goals

AI-Powered Features:

• Weight prediction based on historical data and trends
• Goal achievement probability calculator
• Personalized workout recommendations
• Anomaly detection for unusual patterns

Tech Stack

Frontend:

• React
• Tailwind CSS
• Recharts for data visualization

Backend:

• Python Flask
• PostgreSQL database
• SQLAlchemy ORM
• scikit-learn for machine learning models

Development Tools:

• Git for version control
• RESTful API architecture

Project Status

Currently in active development - Phase 1: Backend foundation and authentication system.

Roadmap

• Project setup and configuration
• User authentication system
• Workout logging functionality
• Nutrition tracking
• Data visualization dashboard
• Machine learning model integration
• Deployment

Author

Developed by Tania W. as part of my Computer Science portfolio, demonstrating full-stack development and data science capabilities.

License

This project is available for portfolio and educational purposes.