The upload-new-gym-location feature is currently unavailable due to limitations in the free version on the render hosting for the fast api. As a result, the dashboard will not display any workout routines linked to uploaded gym locations.
To access the default gym locations and their associated workout routines, please log in using the following credentials:
Email: [email protected] Password: 3
AI-powered gym companion that detects equipment and creates personalized workouts through video analysis.
As someone who frequents different gyms (apartment, work, college), I found it challenging to adapt workouts based on available equipment. Gymze solves this by:
- Automatically detecting gym equipment through video uploads
- Creating personalized workout routines based on available equipment
- Managing multiple gym locations efficiently
-
Smart Gym Detection
- Video-based equipment recognition
- AI-powered equipment analysis
- Multiple location management
-
Personalized Workouts
- Custom routine generation
- Equipment-based exercise suggestions
-
Location Management
- Multiple gym profiles
- Equipment inventory per location
- Quick location switching
-
Frontend
- Next.js
- Tailwind CSS
- JWT Authentication
-
Backend
- Node.js
- MongoDB
- FastAPI (For Running Custom YOLO Model)
-
AI/ML
- Computer Vision for equipment detection (YOLO v8)
- Machine Learning for workout personalization (Gemini Pro API)
- Next.js project setup
- Login/Signup UI
- MongoDB integration
- JWT authentication
- Token management
- Environment configuration
- Authentication middleware
- Dynamic navbar
- Profile management
- Location switching
- Gym location management
- Video upload integration
- Fast API connection
- Cloudinary setup for video storage
- MongoDB data management
- Fast API queue system
- YOLOv8 custom model
- 400 image dataset annotation
- Model training (60-70% accuracy)
- Flask API integration
- MongoDB equipment storage
- Response handling
- User profile creation
- Equipment data visualization
- Location management
- Dashboard implementation
- Gemini Pro API integration
- Personalized routine generation
- Clone the repository: 📥
git clone https://github.com/dipeshpandit12/gymze.git
Create a .env file in the root directory with the following variables:
// /gymze/.env
# MongoDB Configuration
MONGODB_URL=your_mongodb_connection_string
# Authentication
JWT_SECRET=your_jwt_secret_key
# API Configuration
NEXT_PUBLIC_API_URL=your_api_url
# Cloudinary Configuration
NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME=your_cloud_name
NEXT_PUBLIC_CLOUDINARY_API_KEY=your_api_key
CLOUDINARY_API_SECRET=your_api_secret
# Google Gemini AI Configuration
GEMINI_API_KEY=your_gemini_api_key
#FastAPI
FLASK_API_URL=your_fast_api_backend_url
Click below to dive into the codebase and documentation: