CLIMAX FITNESS - Intelligent Gym Management System

Project Overview

Climax Fitness is a comprehensive web application designed to digitize operations for modern fitness centers. Developed as the final project for the 2025-2026 Web Programming Course, this system bridges the gap between gym management and member experience.

It features a robust backend for scheduling and resource management, combined with an AI-powered coaching module that provides personalized workout plans and physique visualization text based on user data.

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Key Features

1. Gym & Resource Management

• Multi-Branch Support: Manage multiple gym locations with specific operating hours.
• Service Catalog: Configure fitness services (e.g., Pilates, HIIT, Personal Training) with duration and pricing.
• Trainer Assignment: Map trainers to specific gyms and expertise areas (Many-to-Many relationships).

2. Smart Appointment System

• Availability Logic: Real-time checking of trainer schedules to prevent double-booking.
• Dark Mode UI: Integrated Flatpickr for a sleek, user-friendly date and time selection experience.
• Validation: Strict server-side validation to ensure bookings fall within opening hours.

3. AI Coaching (Gemini 2.5 Integration)

• Physique Analysis: Users upload a photo, and the AI (Google Gemini 2.5 Flash) analyzes body composition and posture.
• Custom Plans: Generates a detailed, week-by-week diet and workout routine based on the user’s goal (Cut, Bulk, Maintenance).
• Future Visualization: Provides a vivid, AI-generated text description and an image visualizing the user’s future physique to drive motivation.

4. Admin Dashboard & Analytics

• REST API Reporting: Charts are powered by a custom internal API (/Admin/GetServicePopularityData) that aggregates data dynamically.
• Live Filtering: Admins can filter reports by Date Range, Gym Location, and Trainer using LINQ queries.
• Visual Data: Interactive charts (Chart.js) showing revenue, appointment status, and service popularity.

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Technology Stack

• Backend: ASP.NET Core 8.0 MVC
• Language: C#
• Data Access: Entity Framework Core (Code-First)
• Database: PostgreSQL
• Frontend: HTML5, CSS3, Bootstrap 5, JavaScript (jQuery)
• UI Libraries: Flatpickr (Time/Date), Chart.js (Analytics)
• AI Service: Google Gemini API

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Default Credentials (Seed Data)

The application comes pre-seeded with an Administrator account for testing and grading purposes:

Role	Email	Password
Admin	b221210591@sakarya.edu.tr	sau

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Database Model

The system utilizes a relational database model with the following core entities:

• Gyms: Stores location data and operating hours.
• Trainers: Stores staff details and expertise.
• Services: Stores available workout types.
• Appointments: Transactional table linking Users, Trainers, and Services.
• GymTrainer / GymService: Junction tables handling many-to-many relationships.

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Screenshots

1. Home & AI Coach

| Home Page | AI Analysis Result | | :—: | :—: | | | |

2. Admin Panel & Reporting

| Dashboard Analytics | Filtered Reports | | :—: | :—: | | | |

3. Booking System

| Date/Time Selection | Booking Confirmation | | :—: | :—: | | | |

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Author Info

Name: Mahfuz AHMAD Student ID: B221210591 Department: Computer Engineering University: Sakarya University Course: Web Programming (Fall 2025-2026)