System Requirements Document (SRD)

Project Name: grand-security

1. Introduction

The grand-security project is a full-stack AI-powered real-time mobile and web security application designed to detect risky calls, messages, links, and transactions instantly. It provides intelligent alerts and automatic actions to protect users from potential threats. This document outlines the system requirements, features, and technical specifications for the development of the application.

The application will be tailored for both web and Android native platforms, ensuring seamless functionality and user experience across devices.

2. System Overview

The grand-security application aims to enhance user safety by leveraging AI and real-time monitoring to detect and mitigate risks associated with communication and online transactions. The system will include:

• Real-time Risk Detection: AI-powered modules to analyze calls, messages, links, and transactions.
• Intelligent Alerts: Notifications and automatic actions based on risk levels.
• Customizable Settings: Users can configure monitoring preferences and thresholds.
• AI Assistant: A chat-based assistant to explain risks and suggest actions.
• Cross-Platform Support: A web application built with Next.js and an Android native app developed in Kotlin.

The system will operate in the Indian context, considering local preferences, currency (INR), and timezone (IST).

3. Functional Requirements

As a User:

• I should be able to log in, sign up, and manage my account securely.
• I should be able to monitor incoming calls and messages for risks.
• I should be able to scan links and analyze their safety before opening them.
• I should be alerted about risky transactions before they are completed.
• I should be able to view my overall risk score and history on a dashboard.
• I should be able to interact with an AI assistant to understand risks and take actions.
• I should be able to customize settings for monitoring and alerts.

As an Admin:

• I should be able to manage user accounts and permissions.
• I should be able to monitor system performance and logs.
• I should be able to update AI models and risk thresholds.

4. User Personas

1. End-User

• Description: Regular users who want to secure their communication and transactions.
• Goals: Stay protected from scams, phishing, and fraud.
• Technical Proficiency: Moderate.

2. Admin

• Description: System administrators managing the backend and AI models.
• Goals: Ensure system reliability and update AI models as needed.
• Technical Proficiency: High.

5. Visuals Colors and Theme

Color Palette:

• Background: #1E1E2F (Deep Midnight Blue)
• Surface: #2A2A3D (Charcoal Gray)
• Text: #E8E8F2 (Soft White)
• Accent: #FF6F61 (Vivid Coral)
• Muted Tones: #6C6C80 (Muted Slate Gray)

Theme:

The application will feature a modern, clean UI with a focus on usability and accessibility. Both dark and light modes will be supported, with smooth transitions between themes.

6. Signature Design Concept

Interactive Risk Galaxy

The homepage will feature an interactive galaxy visualization where each "star" represents a different feature or module (e.g., Call Detection, Message Monitoring, Transaction Alerts).

• Animation: Stars will gently pulse and rotate in a 3D space, creating a dynamic and engaging experience.
• Interaction: Users can hover over a star to see a brief description of the feature, and clicking on it will navigate them to the respective module.
• Color Shifts: The galaxy background will subtly change colors based on the time of day (e.g., warm tones in the morning, cool tones at night).
• Micro-Interactions: Smooth transitions and hover effects will make the interface feel alive and responsive.

This concept will make the application visually striking and memorable while providing intuitive navigation.

7. Non-Functional Requirements

• Performance: Risk detection and alerts must occur within 1–2 seconds.
• Scalability: The system should handle up to 1 million users concurrently.
• Security: All data must be encrypted in transit and at rest.
• Availability: 99.9% uptime with failover mechanisms.
• Localization: Support for Indian languages and INR currency.

8. Tech Stack

Frontend:

• Web: Next.js (React), Tailwind CSS, Framer Motion, Chart.js, shadcn/ui
• Mobile: Kotlin for Android

Backend:

• Server: Node.js with Express.js
• Real-Time Updates: Socket.IO
• APIs: REST APIs

Database:

• Primary: MongoDB
• Schema: User data, risk history, transaction logs, call/message logs

AI Microservice:

• Framework: FastAPI
• Models: Random Forest, LSTM, Rasa NLP
• Tools: scikit-learn for risk scoring

Orchestration:

• Local: Docker, docker-compose
• Server-Side: Kubernetes

9. Assumptions and Constraints

• Assumptions:

  • Users will have stable internet connections for real-time updates.
  • The Android app will be compatible with devices running Android 8.0 (Oreo) and above.

• Constraints:

  • Limited to Indian regulatory requirements for data storage and privacy.
  • AI models must be optimized for low-latency performance.

10. Glossary

• AI: Artificial Intelligence
• NLP: Natural Language Processing
• JWT: JSON Web Token
• WebSocket: A protocol for real-time communication
• LSTM: Long Short-Term Memory (a type of neural network)
• Rasa: An open-source NLP framework

This SRD provides a comprehensive foundation for the development of the grand-security application. Let’s move forward to bring this vision to life!