System Requirements Document (SRD) for opal-tool

1. Introduction

Welcome to the System Requirements Document (SRD) for opal-tool, a single-page YouTube optimizer designed for personal use by Dhanji Makwana in India. This tool aims to simplify and enhance the process of creating top-ranking videos on the YouTube platform by providing SEO-optimized titles, descriptions, hashtags, and keywords. The opal-tool is result-oriented and adheres to YouTube's legal guidelines for platform manipulation.

This document outlines the system's requirements, features, and design concepts to ensure the successful development and deployment of the opal-tool.

2. System Overview

The opal-tool is a web-based application that enables users to optimize their YouTube video metadata for faster and higher rankings. By inputting a relevant title based on their video or niche, the tool will automatically generate:

• SEO-optimized video titles
• Descriptions tailored for visibility
• Top 6 hashtags relevant to the video
• Keywords and tags optimized for YouTube's search algorithm

The tool is designed for personal use and focuses on simplicity, efficiency, and compliance with YouTube's guidelines. It leverages advanced AI models to ensure accurate and actionable recommendations.

3. Functional Requirements

Story Points:

• As a User, I should be able to input a relevant title based on my video or niche.
• As a User, I should receive an SEO-optimized video title.
• As a User, I should receive an SEO-optimized description tailored for my video.
• As a User, I should receive the top 6 hashtags relevant to my video.
• As a User, I should receive SEO-optimized keywords and tags for my video.
• As a User, I should be assured that the tool adheres to YouTube's legal manipulation guidelines.

4. User Personas

1. Primary User (Dhanji Makwana)

• Role: Creator
• Goals: Optimize YouTube video metadata for personal use to achieve faster and higher rankings.
• Pain Points: Manual optimization is time-consuming and requires expertise in SEO.
• Needs: A simple, result-oriented tool that automates metadata optimization.

5. Visuals Colors and Theme

Unique Color Palette:

The opal-tool will feature a sleek and modern design inspired by gemstones and digital precision. The color palette is as follows:

• Background: #1E1E2E (Deep Midnight Blue)
• Surface: #2A2A40 (Slate Gray)
• Text: #EAEAEA (Soft White)
• Accent: #FF6F61 (Coral Red)
• Muted Tones: #A1A1B5 (Muted Lavender)

This palette reflects sophistication and clarity, aligning with the tool's purpose of delivering sharp and actionable insights.

6. Signature Design Concept

Interactive Gemstone Dashboard

The homepage of opal-tool will feature a dynamic, gemstone-inspired design. Users will be greeted by a 3D rotating gemstone (representing the "opal") that subtly changes colors based on the user's interaction.

• Animation: The gemstone rotates and emits a soft glow when hovered over, symbolizing the tool's precision and brilliance.
• Transitions: Smooth transitions between sections, with gemstone-like facets sliding into view as users scroll.
• Micro-interactions: Clicking on the gemstone reveals a modal where users can input their video title, accompanied by sparkling animations.
• Color Shifts: The gemstone's glow changes based on the time of day (e.g., warm tones in the morning, cool tones at night).
• User Experience: The design evokes a sense of luxury and cutting-edge technology, making the tool feel both personal and powerful.

This unforgettable design ensures the opal-tool stands out and leaves a lasting impression.

7. Non-Functional Requirements

• Performance: The tool should generate results within 2 seconds of input submission.
• Scalability: Designed for personal use but capable of handling up to 10 simultaneous requests.
• Security: User data (input titles) must be securely processed and not stored permanently.
• Compliance: Adheres to YouTube's legal manipulation guidelines.
• Accessibility: Fully responsive and accessible across devices (desktop, tablet, mobile).

8. Tech Stack

Frontend:

• React for Web

Backend:

• Python
• FastAPI

Database:

• MySQL (preferred) or MariaDB, with Alembic for migrations

AI Models:

• GPT 5.4 for user-friendly response
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly response

AI Tools:

• Litellm for LLM Routing
• Langchain

Local Orchestration:

• Docker
• docker-compose

Server-Side Orchestration:

• Kubernetes

9. Assumptions and Constraints

Assumptions:

• The tool will be used exclusively by Dhanji Makwana for personal purposes.
• Users will input accurate and relevant titles based on their video or niche.
• The tool will operate within YouTube's legal manipulation guidelines.

Constraints:

• Limited to single-page functionality for simplicity.
• Real-time data analysis is not included; the tool relies on pre-defined algorithms and templates.
• Requires internet connectivity for AI model integration.

10. Glossary

• SEO: Search Engine Optimization, techniques to improve visibility in search results.
• Metadata: Information that describes other data, such as video titles, descriptions, and tags.
• Hashtags: Keywords preceded by a "#" symbol, used for categorization and discoverability.
• AI Models: Artificial Intelligence systems used to generate recommendations.
• Docker: A platform for containerizing applications.
• Kubernetes: A system for automating deployment, scaling, and management of containerized applications.

End of Document