Digital-bot System Requirements Document

Introduction

The Digital-bot project aims to develop a multi-agent digital marketing system that automates the process of enhancing product images, generating captions, and scheduling social media posts for optimal engagement.

System Overview

Digital-bot is designed to streamline digital marketing efforts by automating the enhancement of product images, creating engaging captions, and scheduling posts on social media platforms. The system leverages AI capabilities to ensure that content is posted at times of peak user engagement, maximizing visibility and interaction.

Functional Requirements

• As a Marketing Manager, I should be able to input raw images of products for enhancement.
• As a Marketing Manager, I should be able to receive professionally edited images from the system.
• As a Marketing Manager, I should be able to receive generated captions for the enhanced images.
• As a Marketing Manager, I should be able to schedule posts on social media platforms.
• As a Marketing Manager, I should be able to ensure posts are uploaded at times of peak engagement.

User Personas

• Marketing Manager: Responsible for overseeing the digital marketing campaigns, including inputting product images and managing social media posts.

Core User Flows

1. Marketing Manager uploads raw product image.
2. System enhances the image to look professionally photographed.
3. System generates a caption for the enhanced image.
4. System schedules the post for optimal engagement time.
5. Post is uploaded to social media platforms.

Visuals Colors and Theme

• primary: #1E3A8A (Deep Blue)
• primary_light: #3B82F6 (Light Blue)
• secondary: #F59E0B (Amber)
• accent: #EF4444 (Vibrant Red)
• highlight: #FBBF24 (Gold)
• bg: #F3F4F6 (Light Gray)
• surface: rgba(255, 255, 255, 0.8) (White)
• text: #111827 (Dark Gray)
• text_muted: #6B7280 (Muted Gray)
• border: rgba(209, 213, 219, 0.2) (Light Gray)

Signature Design Concept

The Digital-bot homepage will feature an interactive 3D carousel of product images. Users can drag to rotate the carousel, revealing different product images that have been enhanced by the system. Each image will animate into view with a smooth transition, and clicking on an image will display the generated caption and scheduled posting time. This dynamic and engaging interface will be built using @react-three/fiber for 3D rendering and framer-motion for animations, providing an immersive experience that highlights the system's capabilities.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, with layered depth effects as users scroll. Decorative elements will move at different speeds to create a sense of depth, while key content remains in the natural flow. This approach will enhance storytelling and provide a visually rich first impression.

Non-Functional Requirements

• The system must process and enhance images within 5 seconds.
• The system should support integration with major social media platforms (e.g., Facebook, Instagram, Twitter).
• The system must ensure data privacy and secure handling of user credentials.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MongoDB
• AI Models: Google Nano banana for image generation
• AI Tools: Langchain
• Local Orchestration: Docker, docker-compose

Assumptions and Constraints

• The system assumes access to high-speed internet for uploading and downloading images.
• The system is constrained by the APIs of social media platforms for scheduling posts.

Glossary

• AI: Artificial Intelligence
• API: Application Programming Interface
• Engagement: Interaction with social media content, such as likes, comments, and shares.