This repository contains the Entity-Relationship (ER) diagram for an Instagram-based Thrift Creator Store.
The ER diagram visualizes the database architecture and entity relationships required to manage a thrift store operated by a creator on Instagram. It outlines the core entities representing the store's operations, which likely include users (creators/customers), products (thrift items), orders, and payments.
Instagram Thrift Creator Store.png: The high-resolution visual representation of the ER diagram.
You can view the ER diagram directly on GitHub by clicking on the image file in the repository or by following this link: View the ER Diagram
This diagram serves as a blueprint and can be used as a reference for:
- Understanding the database schema for a social media-based e-commerce storefront.
- Developing and setting up a relational database for a thrift store application.
- Extending or modifying the database architecture for similar creator-economy projects.
Feel free to fork this project, submit pull requests, or open issues if you have suggestions for improving the database design or adding new entities.
This project represents the database design (ER Diagram) for a fitness platform where trainers provide plans, clients subscribe to them, attend sessions, and track their progress over time.
The system supports real-world features like subscriptions, payments, workout sessions, and fitness tracking.
- Manage users (trainers & clients)
- Allow trainers to create fitness plans
- Enable clients to subscribe to plans
- Track payments and sessions
- Monitor client progress and check-ins
Stores common user information for both trainers and clients.
Contains trainer-specific details like specialization and experience.
Stores client-specific data like fitness goals and activity level.
Created by trainers, includes workout/diet plans.
Links clients to plans with duration and status.
Handles payment records for subscriptions.
Tracks scheduled training sessions.
Logs client check-ins during training.
Tracks body metrics like weight, body fat, etc.
Stores trainer feedback for each check-in.
- Normalized database design (no redundancy)
- Clear separation of roles (trainer vs client)
- Scalable structure for real-world usage
- Tracks complete user journey: Plan → Subscription → Payment → Session → Progress
You can view the ER diagram directly on GitHub by clicking the image file in the repository or by using the link below:
This project represents the database design (ER Diagram) for a clinic platform where patients can book appointments with doctors, attend consultations, undergo diagnostic tests, and receive reports.
The system supports real-world clinic operations like appointment scheduling, doctor consultations, diagnostic testing, report generation, and payments.
Manage patients and doctors Organize appointments efficiently Track consultations (actual visits) Allow doctors to prescribe diagnostic tests Generate and store test reports Handle payments for appointments Maintain complete patient visit history Entities Included Patients
Stores patient details such as name, contact information, and date of birth.
Contains doctor information along with their assigned specialty.
Defines different medical specialties (e.g., cardiology, dermatology).
Represents booking between a patient and a doctor at a scheduled time. Includes status like booked, cancelled, completed, or no-show.
Represents the actual visit after an appointment. Not all appointments result in consultations (e.g., no-show cases).
Contains available diagnostic tests with description and pricing.
Links consultations with tests prescribed by doctors. Tracks the status of each test.
Stores diagnostic reports generated after tests are completed. Each report corresponds to a prescribed test.
Handles payment transactions related to appointments. Includes payment method and status.
Patient → Appointment → Consultation → Prescribed Tests → Reports → Payment
This project represents the database design (ER Diagram) for a large-scale Comic-Con event parking system where thousands of vehicles enter and exit across multiple days.
The system manages vehicle entry, parking allocation, reserved zones, ticket generation, session tracking, and payment processing in a structured and scalable way.
- Track vehicles entering the venue
- Manage different vehicle categories (bike, car, SUV, EV, etc.)
- Allocate parking spots efficiently
- Support reserved parking (VIP, staff, exhibitors, cosplayers, EV charging)
- Record entry and exit timestamps
- Generate parking tickets
- Track parking sessions
- Handle payment and billing
- Monitor parking availability across zones and floors
Stores basic user/owner details of vehicles.
Represents vehicles entering the parking facility.
Defines types of vehicles (bike, car, SUV, EV, etc.).
Represents different levels in the parking structure.
Defines reserved types of parking (VIP, staff, exhibitor, EV charging, etc.) along with pricing.
Subdivisions within floors, mapped to parking categories.
Individual parking spots within zones.
Tracks entry and exit of vehicles. Each session represents one visit.
Generated when a vehicle enters the parking facility.
Stores payment details for each parking session.
- One user can own multiple vehicles
- One vehicle belongs to one category
- One floor contains multiple parking zones
- One zone belongs to a parking category
- One zone contains multiple parking spots
- One vehicle can have multiple parking sessions
- One parking spot can be reused across multiple sessions
- One session generates one ticket
- One session is linked to a payment
This project represents the database design (ER Diagram) for a large-scale event parking system used in venues like Comic-Con India.
The system is designed to manage high-volume, multi-day parking operations involving different types of vehicles, reserved parking categories, and real-time parking allocation.
It supports structured parking with zones, levels, and categorized spots, along with tracking sessions, tickets, and payments.
- Manage different types of vehicles (bike, car, SUV, EV, etc.)
- Organize parking into zones and levels
- Allocate parking spots based on availability and category
- Track vehicle entry and exit (sessions)
- Generate parking tickets
- Handle payments and pricing
- Support reserved categories (VIP, staff, exhibitors, etc.)
- Maintain real-time parking availability
Stores visitor details such as name, email, and role.
Roles include: cosplayer, exhibitor, creator, staff, VIP, general.
Stores vehicle information and links to:
- Vehicle type (bike, car, etc.)
- Owner (visitor)
Defines categories of vehicles.
Represents different parking levels (floors).
Each level contains multiple zones for better organization.
Represents individual parking slots. Tracks:
- Zone
- Category
- Availability status
Defines types of parking spots (e.g., general, VIP, EV charging).
Handles compatibility between vehicle types and spot categories.
Tracks actual parking activity:
- Entry time
- Exit time
- Assigned spot
- Status (active/completed)
Generated when a vehicle enters the parking facility. Linked to parking sessions.
Handles payment transactions for each parking session:
- Amount
- Payment method
- Payment status
Defines parking rates based on vehicle type.