System Requirements Document for project-2e063554

Introduction

The project, titled "project-2e063554," is a professional AI Medical Translator platform named "MedLingo AI." This platform is designed to provide a premium healthcare SaaS experience, allowing patients to upload or scan medical prescriptions, which are then analyzed and translated using advanced AI technologies.

System Overview

MedLingo AI is a web application that leverages OCR and AI to extract, analyze, and translate medical prescription information. The system is designed to provide users with detailed insights into their prescriptions, including medicine names, usage, dosage, and warnings, while offering translation capabilities into multiple languages. The application is built using a modern tech stack, ensuring a seamless and professional user experience.

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Functional Requirements

As a Patient, I should be able to upload or scan a medical prescription.
As a System, I should extract text from prescriptions using Tesseract OCR.
As a System, I should analyze the extracted text using Google Gemini AI.
As a System, I should identify and display medicine details such as name, usage, daily dose, short description, warnings, side effects, storage, and doctor instructions.
As a Patient, I should be able to translate the medical information into any selected language, excluding medicine names, dosage, mg, ml, and medical abbreviations.
As a Patient, I should be able to view original and translated information on the Translation Page.
As a Patient, I should be able to listen to the translated text aloud.
As a Patient, I should be able to generate and download a professional PDF of the prescription.
As a Patient, I should be able to view and manage my translation history, including searching, deleting, and downloading previous reports.
As a User, I should be able to access information about the application, technology, AI workings, and benefits.
As a User, I should be able to customize settings such as dark mode, language, and voice speed.

User Personas

Patient: Individuals who need to understand and translate their medical prescriptions.
System: The backend processes that handle OCR, AI analysis, and translation.

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Core User Flows

Patient uploads or scans a prescription -> System extracts text using OCR -> AI analyzes prescription -> Displays medicine details -> Patient selects language for translation -> System translates selected information -> Patient views original and translated information -> Patient downloads PDF or listens to audio.
Patient accesses history -> Searches or deletes past translations -> Downloads previous reports.

Visuals Colors and Theme

primary: #1A73E8 (a deep blue inspired by healthcare and technology)
primary_light: #E8F0FE (a lighter blue for hover states)
secondary: #FF7043 (a coral hue for emphasis and links)
accent: #FFCA28 (a vibrant amber for CTAs and active states)
highlight: #FFA726 (a warm orange for notifications and active indicators)
bg: #F5F5F5 (a light grey for the page background)
surface: rgba(255, 255, 255, 0.9) (a white card/panel background)
text: #212121 (a dark grey for primary text)
text_muted: #757575 (a softer grey for secondary text)
border: rgba(0, 0, 0, 0.1) (a subtle grey for borders)

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Signature Design Concept

The homepage of MedLingo AI will feature an interactive 3D medical lab environment using @react-three/fiber and @react-three/drei. Users will navigate through a virtual lab where each section represents a different feature of the application. For instance, clicking on a microscope opens the OCR feature, while a globe represents the translation capabilities. The environment will be dynamic, with elements reacting to user interactions, such as hovering or clicking, creating an engaging and memorable experience.

Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll. Decorative elements will move at different speeds, enhancing the storytelling aspect of the platform. Internal pages will maintain a "static" model for clarity and ease of use, focusing on functionality over decoration.

Non-Functional Requirements

The application must be responsive and accessible across all devices, including desktops, laptops, tablets, and mobile phones.
The system should ensure data privacy and security, especially concerning patient information.
The application should provide a seamless and fast user experience, with minimal loading times.

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Tech Stack

Frontend: React JS, Vite, Tailwind CSS, shadcn/ui, Framer Motion, Lucide React, Axios
Backend: FastAPI (Python)
Database: MongoDB Atlas
AI: Google Gemini API
OCR: Tesseract OCR
PDF: ReportLab

Assumptions and Constraints

The application will not include login or signup features, starting directly at the dashboard.
The system will rely on the Google Gemini API for AI analysis and translation capabilities.
The application must integrate seamlessly with FastAPI and MongoDB.

Glossary

OCR: Optical Character Recognition, a technology used to extract text from images.
AI: Artificial Intelligence, used here for analyzing and translating medical prescriptions.
SaaS: Software as a Service, a software distribution model in which applications are hosted by a service provider and made available to customers over the internet.

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project-2e063554

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