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oddfar avatar

oddfar/campus-imaotai

0
View on GitHub↗
4,162 stars·1,351 forks·Java·Apache-2.0·21 viewsoddfar.github.io/campus-doc/campus-imaotai↗

Campus Imaotai

Campus-imaotai is an automated liquor reservation tool designed to schedule and execute daily booking requests for high-demand products. It functions as an app interaction simulator that mimics human activities and network requests to meet application eligibility requirements.

The system employs a dockerized task orchestrator for deployment and uses an automated notification gateway to provide real-time alerts on the success or failure of purchase attempts. It utilizes a multi-account orchestration system to manage various user profiles and uses store optimization logic to select target endpoints based on geographical proximity and historical shipping volume.

The software includes capabilities for account registration, reservation scheduling, and the simulation of user activities such as virtual travel and journey sharing. It incorporates randomized timing logic and API simulation to emulate human interaction patterns.

Features

  • Automated Reservation Systems - Automates the entire reservation workflow, including account registration and daily booking requests.
  • App Eligibility Simulators - Mimics human activities such as travel and sharing to meet application eligibility requirements.
  • Bot Profile Orchestration - Coordinates multiple user profiles and registration workflows to maximize the chance of securing bookings.
  • Automated Profile Orchestration - Manages and coordinates multiple user profiles to increase the overall probability of successful bookings.
  • Randomized Request Delays - Inserts non-deterministic execution delays between requests to mimic human behavior and evade bot detection systems.
  • User Interaction Simulation - Automates user activities like virtual travel and journey sharing to satisfy application eligibility requirements.
  • HTTP Service Simulation - Simulates mobile application network requests by sending structured HTTP packets directly to backend servers.
  • Eligibility Activity Simulation - Simulates virtual travel and sharing tasks to satisfy eligibility requirements for restricted application features.
  • Scheduling Automation - Coordinates the timing of booking attempts using specific or randomized timestamps to avoid detection.
  • Docker Container Orchestrators - Provides a containerized environment to orchestrate and manage the lifecycle of app interaction scripts.
  • Containerized Deployments - Provides a standardized packaging approach using containers for consistent execution of the booking tool across different environments.
  • Docker Deployments - Deploys automated task scripts within Docker containers for consistent execution and easy setup.
  • External Notification Integrations - Integrates with third-party messaging services to deliver real-time alerts regarding the outcome of automated booking attempts.
  • Real-time Notification Broadcasters - Pushes immediate real-time alerts to the user regarding the status of automated purchase attempts.
  • Real-Time Event Notifications - Provides real-time event notifications to alert the user of the success or failure of purchase requests.
  • Automation Failure Notifications - Ships an automated gateway that notifies users when automated reservation tasks fail or succeed.

Star history

Star history chart for oddfar/campus-imaotaiStar history chart for oddfar/campus-imaotai

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does oddfar/campus-imaotai do?

Campus-imaotai is an automated liquor reservation tool designed to schedule and execute daily booking requests for high-demand products. It functions as an app interaction simulator that mimics human activities and network requests to meet application eligibility requirements.

What are the main features of oddfar/campus-imaotai?

The main features of oddfar/campus-imaotai are: Automated Reservation Systems, App Eligibility Simulators, Bot Profile Orchestration, Automated Profile Orchestration, Randomized Request Delays, User Interaction Simulation, HTTP Service Simulation, Eligibility Activity Simulation.

Which projects share features with oddfar/campus-imaotai?

Projects with overlapping indexed features include: pjialin/py12306 — Py12306 is a distributed system designed for the automation of railway ticket booking and seat availability… gotify/server — Gotify is a self-hosted notification server designed to centralize the receipt and dispatch of real-time messages. It… ymm-tech/gods-pen — Gods-pen is a Vue.js visual page builder and no-code landing page platform for creating responsive mobile marketing… locustio/locust — Locust is a distributed performance testing framework that allows users to define complex system stress scenarios… exrick/xboot — xboot is a full-stack development platform and low-code application framework pairing a Spring Boot backend with a… agentwrapper/agent-orchestrator — This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of…

Projects sharing features with Campus Imaotai

These projects share indexed features with Campus Imaotai. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • pjialin/py12306pjialin avatar

    pjialin/py12306

    14,859View on GitHub↗

    Py12306 is a distributed system designed for the automation of railway ticket booking and seat availability monitoring. It enables users to manage multiple accounts and execute reservation workflows automatically, including the resolution of security challenges encountered during the booking process. The platform distinguishes itself through a distributed architecture that coordinates multiple worker nodes via a central data store, allowing for scalable task execution and automatic failover. It utilizes parallel, multi-threaded query processing to maximize the frequency of availability checks

    Python
    View on GitHub↗14,859
  • gotify/servergotify avatar

    gotify/server

    14,654View on GitHub↗

    Gotify is a self-hosted notification server designed to centralize the receipt and dispatch of real-time messages. It provides a RESTful API and a WebSocket gateway, allowing users to programmatically send alerts and push notifications to connected clients. By maintaining a private infrastructure, the platform ensures full control over message history, data retention, and access management. The system distinguishes itself through a modular, plugin-based architecture that allows for the extension of core functionality, including custom HTTP endpoints and webhook event processing. It supports g

    Goapicloudfree-software
    View on GitHub↗14,654
  • ymm-tech/gods-penymm-tech avatar

    ymm-tech/gods-pen

    4,458View on GitHub↗

    Gods-pen is a Vue.js visual page builder and no-code landing page platform for creating responsive mobile marketing pages. It functions as a dockerized content management system and an extensible component framework, enabling the design and publishing of pages with integrated form collection and analytics tracking. The platform features a component marketplace manager for uploading, downloading, and monetizing reusable UI elements across different projects. It provides a comprehensive system for custom component development, utilizing a scaffolding system and schema-driven property mapping to

    Vue
    View on GitHub↗4,458
  • locustio/locustlocustio avatar

    locustio/locust

    27,516View on GitHub↗

    Locust is a distributed performance testing framework that allows users to define complex system stress scenarios using standard Python code. By modeling concurrent users as classes with weighted tasks and lifecycle hooks, it enables the simulation of realistic user behavior across large-scale environments. The tool functions as a scalable load generator capable of orchestrating traffic across multiple worker nodes to measure system stability and responsiveness under heavy, real-world conditions. The framework is distinguished by its protocol-agnostic architecture, which supports diverse comm

    Pythonbenchmarkinghttpload-generator
    View on GitHub↗27,516
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