System Requirements Document (SRD)

Project Name: lime-tool

1. Introduction

The lime-tool is an advanced AI-powered tool designed to cater to the needs of Nour Ezzedine in Lebanon (LB). This document outlines the system requirements for the lime-tool project, ensuring it meets the expectations and needs of its users. The lime-tool aims to provide smart functionalities, seamless user experience, and efficient task handling.

This document serves as a comprehensive guide for developers, designers, and stakeholders to understand the scope, functionality, and design of the lime-tool project.

2. System Overview

The lime-tool is envisioned as a multi-functional AI tool that leverages cutting-edge technologies to provide intelligent solutions. It will be designed to handle a variety of tasks, offering a user-friendly interface and robust backend support. The system will integrate AI models and tools to ensure high performance, accuracy, and adaptability to user needs.

The lime-tool will operate in the Lebanese context, considering locale-specific defaults such as time zone (EET), currency (Lebanese Pound - LBP), and language preferences (Arabic and English).

3. Functional Requirements

The following are the functional requirements for the lime-tool project:

• As a User, I should be able to interact with the AI tool for task automation.
• As a User, I should be able to receive smart, user-friendly responses from the AI.
• As a User, I should be able to access academic or coding assistance via the AI.
• As a User, I should be able to generate images using AI capabilities.
• As an Admin, I should be able to monitor and manage user interactions with the tool.
• As an Admin, I should be able to configure AI model preferences and settings.

4. User Personas

The lime-tool will cater to the following user personas:

1. User:

   • Primary user of the tool.
   • Interacts with the AI for task automation, academic assistance, coding help, and image generation.
   • Requires a simple, intuitive interface.

2. Admin:

   • Manages the system and monitors user interactions.
   • Configures AI settings and oversees system performance.

5. Visuals Colors and Theme

The lime-tool will adopt a modern, clean, and vibrant color scheme to ensure a visually appealing interface. The proposed color palette includes:

• Primary Color: Lime Green (#32CD32) – Represents the project's name and conveys energy and innovation.
• Secondary Color: Midnight Blue (#191970) – Adds depth and professionalism.
• Accent Color: Soft Yellow (#FFD700) – Highlights key elements and interactions.
• Background Color: Light Gray (#F5F5F5) – Ensures readability and a clean look.

The theme will focus on simplicity and elegance, with smooth transitions and minimalistic design elements.

6. Signature Design Concept

Interactive Lime Grove Landing Page

The homepage of lime-tool will feature an immersive, interactive lime grove. Users will be greeted with a 3D-rendered lime tree that grows and evolves as they interact with the tool.

• Visuals: The lime tree will have vibrant green leaves and glowing limes that represent different features of the tool. Each lime will be clickable, leading to a specific functionality (e.g., task automation, academic assistance, image generation).
• Animations: The tree will sway gently in the breeze, and limes will pulse subtly to indicate interactivity. Hovering over a lime will cause it to glow brighter and display a tooltip with a brief description of the feature.
• Transitions: Smooth zoom-in and zoom-out effects will guide users as they navigate through the tree.
• Micro-interactions: Clicking on a lime will trigger a ripple effect, accompanied by a soft chime sound.
• Background: A serene, gradient sky transitioning from dawn to dusk based on the user's local time (Lebanon timezone).

This unique design will make the lime-tool instantly memorable and engaging, setting it apart from conventional AI tools.

7. Non-Functional Requirements

• Performance: The system should respond to user queries within 2 seconds.
• Scalability: The system must support up to 10,000 concurrent users.
• Security: User data must be encrypted and comply with GDPR standards.
• Availability: The system should maintain 99.9% uptime.
• Localization: The tool must support Arabic and English languages.

8. Tech Stack

The lime-tool will utilize the following technologies:

• Frontend:

  • React for Web

• Backend:

  • Python
  • FastAPI

• Database:

  • MySQL (with Alembic for migrations)

• AI Models:

  • GPT 5.2 for user-friendly responses
  • Claude 4.5 Opas for academic or coding work
  • Google Nano Banana for image generation

• AI Tools:

  • Litellm for LLM Routing
  • Langchain

• Local Orchestration:

  • Docker
  • docker-compose

• Server-Side Orchestration:

  • Kubernetes

9. Assumptions and Constraints

• The system will primarily serve users in Lebanon, but it should be scalable to a global audience.
• The tool will require an active internet connection to function.
• AI model updates and maintenance will be handled by the admin.
• The system will operate within the constraints of the selected tech stack and budget.

10. Glossary

• AI: Artificial Intelligence.
• LLM: Large Language Model.
• GDPR: General Data Protection Regulation.
• Docker: A platform for developing, shipping, and running applications in containers.
• Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
• FastAPI: A modern, fast web framework for building APIs with Python.
• MySQL: A relational database management system.
• Alembic: A database migration tool for SQLAlchemy.

This document provides a detailed roadmap for the development of the lime-tool project. Nour, your vision for an AI tool is now structured and ready for implementation! Let me know if there are any additional changes or features you'd like to include.