Problem Statement 8

Project: MindCMS.ai

1. Overview

MindCMS.ai is an AI-powered content management system designed to streamline content creation, SEO optimization, publication, and social media management. Users can input a topic, and the system will generate a comprehensive article, SEO metadata, videos, and social media posts while automating the publication process across websites and platforms.

2. Functional Requirements

2.1 Core Features

1. Content Generation
   • Input: Topic and optional category.
   • Output:
     • Detailed article (1000+ words) with headers, sub-headers, and formatted text.
     • AI-suggested article title, keywords, and meta description for SEO.
     • AI models: GPT-based for natural language generation and semantic analysis.
2. SEO Optimization
   • Generate meta tags: Title, description, and keywords.
   • Provide readability scores and keyword density suggestions.
   • Auto-optimize images with ALT tags and compress them for performance.

2.2 Technical Requirements

• Frontend
  • Technologies: React.js or Vue.js for a responsive UI.
  • Features:
  • Interactive dashboards for managing content.
  • Drag-and-drop editors for customization.
• Backend
  • Technologies: Node.js or C#
  • AI Integration: OpenAI GPT API or in-house LLM for content generation.
  • Video Processing: FFMPEG or equivalent.
• Database
  • Use PostgreSQL or MongoDB for structured and unstructured data.
  • Cache frequently used data with Redis.
• Infrastructure
  • Deploy on AWS or Azure with CI/CD pipelines.
  • Use containerization (Docker, Kubernetes) for scalability.

2.3 Success Metrics

• Time to generate and publish content reduced by 50%.
• 90% user satisfaction with content quality.
• 30% improvement in SEO rankings for published articles.
• Social media engagement rates increase by 20%.