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Fitness Web Application
PersonalNode.jsExpressMongoDBHandlebarsHTML/CSSJavaScript
Fitness Web Application
Project Overview
The Fitness Web Application is a comprehensive tool designed to help users set, track, and achieve their fitness goals. The application supports user authentication, goal management, and progress visualization. Built using modern web development technologies, it ensures secure data handling and provides an intuitive user experience.
Core Features
User Authentication
- Secure Sign-Up & Log-In with unique username and email
- Password hashing using bcrypt for enhanced security
- Session management using express-session
- Persistent login states for better user experience
Fitness Goal Management
- Set and track personalized fitness goals
- Progress visualization with interactive charts
- Achievement milestones and notifications
- Customizable workout plans

Goal Tracking
Goal tracking interface showing progress metrics and achievements.
Technical Implementation
Backend Architecture
The application is built on a robust backend stack:
- Node.js runtime environment
- Express.js framework for routing and middleware
- MongoDB database with Mongoose ODM
- RESTful API design principles
- Secure session management
Data Management
- MongoDB Database integration
- Mongoose schemas for data validation
- Efficient query optimization
- Regular data backups

Data Management
Database schema and relationships visualization.
Frontend Design
- Clean and intuitive user interface
- Responsive design for all devices
- Interactive data visualizations
- Custom CSS styling
- Handlebars.js templating
Security Features
- Secure password hashing
- Protected API endpoints
- Input validation and sanitization
- XSS protection
- CSRF token implementation
Development Tools
- npm for package management
- Git for version control
- ESLint for code quality
- Jest for unit testing
- Postman for API testing
Future Developments
Planned enhancements include:
- Social features for community engagement
- Integration with fitness tracking devices
- Advanced analytics and insights
- Personalized workout recommendations
- Mobile app development
Project Repository
You can find the full project on GitHub.