System Requirements Document (SRD)

1. Introduction

This document outlines the system requirements for developing a medical chatbot application. The purpose of this application is to provide users with accurate, timely, and user-friendly medical information and assistance. The chatbot will leverage AI models to ensure high-quality responses and support users in their medical queries.

2. System Overview

The medical chatbot application will serve as an interactive tool for users seeking medical advice, general health information, or assistance with healthcare-related queries. The system will utilize AI models to provide responses based on user input and will be accessible via web and mobile platforms. The chatbot will also ensure compliance with medical data privacy standards and regulations.

3. Functional Requirements as Story Points

• As a User, I should be able to ask medical-related questions and receive accurate responses.
• As a User, I should be able to access the chatbot on both web and mobile platforms.
• As a User, I should be able to view my chat history for reference.
• As a User, I should be able to receive recommendations for nearby healthcare facilities based on my location.
• As a User, I should be able to input symptoms and receive potential causes or advice on next steps.
• As a User, I should be able to receive reminders for medication or health check-ups.
• As an Admin, I should be able to monitor chatbot interactions for quality assurance.
• As an Admin, I should be able to update the medical knowledge base used by the chatbot.
• As an Admin, I should be able to manage user accounts and permissions.
• As an Admin, I should be able to generate reports on chatbot usage and user engagement.

4. User Personas

User

• Primary users of the chatbot.
• Individuals seeking medical advice, symptom analysis, or general health information.
• May include patients, caregivers, or individuals interested in healthcare.

Admin

• Responsible for managing the chatbot system.
• Ensures the accuracy and quality of responses.
• Monitors user engagement and updates the medical knowledge base.

5. Visuals Colors and Theme

The application will adopt a professional and calming theme to ensure user comfort and trust. Suggested color palette:

• Primary: Blue (#007BFF) – Represents trust and professionalism.
• Secondary: Green (#28A745) – Symbolizes health and wellness.
• Accent: White (#FFFFFF) – Clean and minimalistic for readability.
• Background: Light Gray (#F8F9FA) – Neutral and non-distracting.

6. Non-Functional Requirements

• The chatbot must respond to user queries within 2 seconds.
• The system must comply with HIPAA and other relevant medical data privacy regulations.
• The application must support at least 10,000 concurrent users.
• The chatbot must be available 99.9% of the time, ensuring high reliability.
• The system must be scalable to accommodate future growth in user base and functionality.
• The application must provide multilingual support for global accessibility.

7. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL or MariaDB (preferred for structured data)
• MongoDB (for unstructured data)

AI Models

• GPT 5.2 for user-friendly medical responses
• Claude 4.5 Opas for academic or coding-related medical queries
• Gemini 3 Pro for conversational and friendly responses

AI Tools

• Litellm for LLM Routing
• Langchain for advanced AI integrations

Local Orchestration

• Docker
• docker-compose

Server-side Orchestration

• Kubernetes for scalability and reliability

8. Assumptions and Constraints

Assumptions

• Users will have access to the internet to interact with the chatbot.
• The chatbot will not provide medical diagnoses but will offer general advice and recommendations.
• Users will input queries in a language supported by the chatbot.

Constraints

• The system must comply with medical data privacy regulations like HIPAA.
• The chatbot must not store sensitive medical data without user consent.
• The application must be optimized for both web and mobile platforms.

9. Glossary

• Chatbot: An AI-powered tool that interacts with users through text or voice to provide information or assistance.
• HIPAA: Health Insurance Portability and Accountability Act, a regulation for protecting sensitive patient data.
• LLM: Large Language Model, an AI model trained on vast amounts of text data to generate human-like responses.
• Frontend: The user interface of the application.
• Backend: The server-side logic and database management of the application.
• Docker: A tool for containerizing applications to ensure consistency across environments.
• Kubernetes: A system for automating deployment, scaling, and management of containerized applications.

This updated SRD incorporates the user's request to develop a medical chatbot application and outlines the necessary requirements and specifications for its implementation.