happy-ai System Requirements Document

1. Introduction

The pricing will be displayed in INR (Indian Rupees). The "happy-ai" project aims to develop an AI-powered email verification engine that addresses the challenges of verification accuracy. The solution will offer flexible pricing models, including subscription and pay-per-verification options, to cater to diverse user needs.

2. System Overview

The happy-ai project will leverage advanced AI models to enhance the accuracy of email verification processes. The system will be designed to accommodate different pricing strategies, ensuring accessibility and scalability for various user segments.

3. Functional Requirements as Story Points

• As a User, I should be able to verify email addresses with high accuracy using the AI-powered engine.
• As a User, I should be able to choose between a subscription model or a pay-per-verification model for the service.
• As an Admin, I should be able to manage user subscriptions and track verification usage.
• As a User, I should receive notifications about the verification status of submitted emails.
• As a User, I should be able to view a history of my email verification activities.

4. User Personas

• User: Individuals or businesses who need to verify email addresses for various purposes.
• Admin: Personnel responsible for managing the system, user accounts, and overseeing the verification process.

5. Core User Flows

• User selects email verification option (subscription or pay-per-verification) -> submits email for verification -> receives verification status -> views verification history.
• Admin logs into the system -> manages user accounts and subscriptions -> monitors verification usage and system performance.

6. Visuals Colors and Theme

• primary: #007BFF (a vibrant blue to represent trust and reliability)
• primary_light: #66B2FF (a lighter blue for hover states and secondary UI elements)
• secondary: #6C757D (a neutral gray for supporting elements)
• accent: #28A745 (a green for call-to-actions and active states)
• highlight: #FFC107 (a yellow for notifications and hover states)
• bg: #F8F9FA (a light gray for the page background)
• surface: #FFFFFF (white for card/panel backgrounds)
• text: #212529 (a dark gray for primary text and headings)
• text_muted: #6C757D (a softer gray for secondary text and labels)
• border: #DEE2E6 (a subtle gray for borders)

7. Signature Design Concept

Interactive Email Verification Dashboard

The homepage will feature an interactive dashboard that visually represents the email verification process. Users can drag and drop email lists into a designated area, triggering an animation where emails are processed through a dynamic pipeline. As emails move through the pipeline, they change color to indicate their verification status (e.g., green for verified, red for invalid). This interactive element will be built using motion/react for smooth animations and transitions.

LANDING HERO MOTION BRIEF

The landing hero will depict a digital conveyor belt where email envelopes travel through various AI-powered verification stages. Each stage will highlight a transformation, such as scanning, analyzing, and verifying, culminating in a final status display. This animation will loop every 10 seconds, providing a clear narrative of the verification process. The composition will include layers for the conveyor belt, email envelopes, and verification stages, ensuring a visually engaging and informative experience.

8. Interaction Model & Motion Direction

• Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, enhancing user engagement without overwhelming the interface.
• Internal pages will adopt a static interaction model, focusing on clarity and ease of use for managing verifications and subscriptions.

9. Non-Functional Requirements

• The system MUST ensure data privacy and security for all user information.
• The system SHALL maintain high availability and reliability to support continuous verification processes.
• The system MUST be scalable to accommodate increasing user demand and verification volume.

10. Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database RDBMS: MySQL or MariaDB, using Alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses, Claude Sonnet 5 for academic or coding work
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

11. Assumptions and Constraints

• The system will primarily target users in India, considering local data privacy regulations.
• The pricing model will be flexible to accommodate both small businesses and large enterprises.
• The AI model's accuracy is a critical success factor and will be continuously improved.

12. Glossary

• AI: Artificial Intelligence
• LLM: Large Language Model
• RDBMS: Relational Database Management System
• API: Application Programming Interface

This document outlines the comprehensive requirements for the happy-ai project, ensuring a clear understanding of the system's objectives and functionalities.