TikTok Automation Tool - AI-Powered Video Creation

Automated Video Generation and Social Media Management

2025-2026 Personal Project

Project Description

This project is an automated video creation and social media management tool that leverages artificial intelligence to generate engaging TikTok content. The system uses Laravel as the backend framework with Livewire for reactive UI components. It integrates OpenAI's GPT models for content generation and prompt optimization, OpenAI Sora 2 API for video generation, and TikTok OAuth for secure account linking. The system automatically creates videos from text or images, manages upload plans, and provides comprehensive analytics and engagement management.

Key Features

AI Video Generation

Automated video creation using OpenAI Sora

Automated Posting

Scheduled posting to TikTok platform

AI Comments

Automated comment generation and posting

Content Generation

AI-powered script and caption creation

Scheduling System

Automated scheduling and workflow management

Analytics & Insights

Performance tracking and optimization

Technology Stack

Backend Framework

Laravel 11
PHP 8.2+
MySQL

AI & ML

OpenAI API
Sora 2

Frontend

Livewire
Alpine.js
Bootstrap

Integration

TikTok OAuth
REST APIs
Encryption

Workflow

  1. Channel Concept Creation: Generate channel concepts from keywords using RTCROS prompts with ChatGPT
  2. Channel Info Setup: Create channel information based on concepts and link TikTok accounts via OAuth
  3. Content Generation: AI creates video scripts and concepts using OpenAI GPT models
  4. Video Creation: Sora 2 generates video content from text or image prompts via OpenAI Sora 2 API
  5. Upload Planning: Schedule videos for optimal posting times with upload plans
  6. Automated Posting: Videos are automatically uploaded to TikTok via OAuth-linked accounts
  7. Engagement Management: AI monitors comments, analyzes sentiment, and generates contextual responses
  8. Analytics: Performance metrics are tracked with comprehensive channel analytics and sentiment analysis