System Requirements Document (SRD)

Project Name: Moon-Conversion

1. Introduction

Welcome to the System Requirements Document (SRD) for Moon-Conversion, a cutting-edge AI assistant system designed to help businesses automate conversations, capture leads, and convert users into customers. This document outlines the refined requirements for building a production-ready system with a focus on architecture, scalability, and conversion optimization.

The project is tailored for Shishank Gautam, based in India, and incorporates locale-specific considerations such as currency (₹), timezone (IST), and user interaction preferences (Hinglish).

2. System Overview

Moon-Conversion is a conversational AI system that acts like a real human sales and support assistant. Its primary goals are:

• Automating customer interactions.
• Capturing leads effectively.
• Driving conversions through persuasive, human-like communication.

The system is designed to be scalable, API-first, and optimized for real-time interactions, ensuring seamless integration with business tools like CRMs and analytics platforms.

Key features include:

• Multitenancy support for multiple businesses.
• Dynamic analytics tracking for leads, conversions, and interaction rates.
• Real-time conversation handling with memory-based context awareness.

3. Functional Requirements

As User:

• I should be able to ask questions about services, pricing, and timing.
• I should be able to book appointments or place orders directly.
• I should receive reminders if I stop replying.

As Admin:

• I should be able to manage business-specific data (e.g., services, pricing, location).
• I should be able to view analytics for leads, conversions, and user interactions.
• I should be able to configure urgency-based prompts for users.

As Guest:

• I should be able to explore services and pricing without logging in.
• I should be able to initiate conversations with the assistant.

4. User Personas

1. Admin

• Role: Business owner or manager.
• Goals: Manage business data, track analytics, and optimize conversion strategies.
• Interaction Style: Dashboard-based management tools.

2. User

• Role: Customer or potential buyer.
• Goals: Get information, book services, and make purchases.
• Interaction Style: Conversational, human-like Hinglish replies.

3. Guest

• Role: Website visitor or casual browser.
• Goals: Explore services and pricing, initiate conversations.
• Interaction Style: Limited access, exploratory.

5. Visuals Colors and Theme

Color Palette:

The Moon-Conversion project will use a unique, vibrant color palette to evoke trust, professionalism, and modernity:

• Background: #1A1A2E (Deep Midnight Blue)
• Surface: #16213E (Dark Indigo)
• Text: #E5E5E5 (Soft White)
• Accent: #0F3460 (Electric Blue)
• Muted Tones: #53354A (Muted Plum)

6. Signature Design Concept

Interactive Galaxy Map Homepage

The homepage will feature an interactive galaxy map where each star represents a feature or section of the system.

Key Features:

• Dynamic Animations: Stars twinkle and pulsate subtly, creating a sense of wonder.
• Hover Interactions: Hovering over a star reveals its name and purpose (e.g., "Lead Capture System").
• Click-to-Navigate: Clicking on a star zooms into its section, transitioning smoothly into the content.
• Color Shifts: The galaxy background subtly changes hues based on the time of day (e.g., warmer tones during the day, cooler tones at night).
• Micro-Interactions: Stars react to user actions with slight movements and glowing effects.

This design ensures the first impression is unforgettable, aligning with the futuristic and conversion-focused identity of the project.

7. Non-Functional Requirements

• Scalability: Support for multitenancy to handle multiple businesses simultaneously.
• Performance: Real-time response times under 500ms for conversational queries.
• Security: Data encryption (AES-256) for sensitive information like user details and analytics.
• Reliability: 99.9% uptime guarantee for critical systems.
• Localization: Hinglish language support and Indian locale-specific defaults.

8. Tech Stack

Frontend:

• React for web interface.
• React Native for mobile app development.

Backend:

• Python with FastAPI for API development.

Database:

• MySQL or MariaDB for relational data (using Alembic for migrations).
• MongoDB for NoSQL data storage.
• WeaviateDB for vector-based AI data.

AI Models:

• GPT 5.4 for user-friendly responses.
• Claude 4.6 Opas for academic or coding queries.
• Gemini 3.1 Pro for conversational responses.
• Google Nano Banana for image generation.

AI Tools:

• Litellm for LLM routing.
• Langchain for advanced AI workflows.

Orchestration:

• Docker and docker-compose for local development.
• Kubernetes for server-side orchestration.

9. Assumptions and Constraints

Assumptions:

• Users prefer Hinglish for conversational interactions.
• Businesses will provide accurate data for services, pricing, and contact details.
• The system will primarily serve Indian businesses and customers.

Constraints:

• Limited to Indian locale-specific defaults (e.g., currency in ₹, timezone in IST).
• Real-time response times must not exceed 500ms.
• Multitenancy must be implemented without compromising data security.

10. Glossary

• Multitenancy: A software architecture where a single instance serves multiple businesses or users.
• Hinglish: A blend of Hindi and English used for casual communication.
• Lead Capture: The process of collecting user information for follow-up and conversion.
• Conversion Optimization: Strategies to increase the likelihood of turning users into customers.
• AES-256: Advanced Encryption Standard with a 256-bit key length for secure data encryption.

This refined SRD ensures Moon-Conversion is production-ready, scalable, and optimized for driving conversions while maintaining a user-friendly experience.