Badoo Automation Python Backend Implementation

Milestone 1 – Badoo Automation

This milestone includes full backend implementation for automating Badoo using a Python backend and device farm.

Scope:
Account Creation: Triggered via createAccount with user data.

Swiping: Triggered via startSwiping with swipe limits, delays, and randomization.

Messaging: Use sendMessage and handle replies via Chat.

Anti-Ban Measures: Fingerprint randomization, IP rotation, emulation bypass, human-like behavior.

Ban Handling: Detect bans, recreate accounts, and log all details.

CAPTCHA Detection: Detect tests and pause for manual resolution.

Video Streaming: Stream device output for human intervention.

Logging: Log all actions with readable data and screenshots.

Docker Deployment: Containerized setup, deployable on one assigned port.

Requirements:
Should support 30 Badoo instances on:

Ryzen 9 5900HX

64 GB RAM

4 TB SSD

Ubuntu OS

Deliverables:
Python backend code with documentation

Docker container

API + event documentation

Video demo showing all features and 30-instance test

Fixed Cost: $30
Deadline: 24 hours