System Requirements Document (SRD)

Project Name: strong-data

1. Introduction

The strong-data project is a modern SaaS web application designed to empower users with AI-powered data analytics capabilities. Developed for users in Pakistan and beyond, this platform simplifies the process of extracting actionable insights from datasets, making advanced analytics accessible to students, small businesses, e-commerce sellers, and freelancers.

This document outlines the system requirements for strong-data, ensuring clarity and alignment with Muhammad Abubakar's vision for the project.

2. System Overview

strong-data is an AI-driven data analytics platform that allows users to upload CSV or Excel files and instantly receive clean, interactive charts, AI-generated insights, and downloadable reports. The platform also introduces a new feature enabling users to retrieve desired data insights without needing to upload any files themselves, further enhancing accessibility and usability.

The system is designed to feel like a simplified version of Tableau or Power BI but fully automated, beginner-friendly, and tailored for users who may not have advanced analytics skills.

Key features include:

• File upload and processing system
• Automatic chart generation
• AI-powered insights engine
• Interactive dashboards
• Professional report generation
• Data retrieval without file uploads

3. Functional Requirements

As story points:

• As a User, I should be able to upload a dataset (CSV/Excel) via drag-and-drop.
• As a User, I should instantly receive clean, interactive charts based on my uploaded data.
• As a User, I should automatically receive AI-generated insights about my data.
• As a User, I should be able to explore my data visually in an interactive dashboard.
• As a User, I should be able to download a professional PDF report containing charts and insights.
• As a User, I should be able to retrieve desired data insights without needing to upload any data myself.
• As an Admin, I should be able to manage user accounts and datasets securely.
• As a Guest, I should be able to view a demo of the platform's capabilities without uploading data.

4. User Personas

1. Admin

• Manages user accounts and datasets.
• Ensures system security and performance.
• Monitors analytics and usage statistics.

2. User

• Uploads datasets for analysis.
• Explores interactive dashboards and insights.
• Downloads reports for business or academic use.
• Retrieves insights without uploading data.

3. Guest

• Views a demo of the platform's capabilities.
• Explores sample datasets and insights.

5. Visuals Colors and Theme

Unique Color Palette for strong-data:

• Background: #F5F9FC (Soft Sky Blue)
• Surface: #FFFFFF (Pure White)
• Text: #2D3748 (Charcoal Gray)
• Accent: #FF6F61 (Coral Red)
• Muted Tones: #A0AEC0 (Muted Steel Blue)

The theme is designed to evoke professionalism, clarity, and modernity, ensuring a clean and minimal SaaS aesthetic.

6. Signature Design Concept

Interactive Data Universe Homepage

The homepage will feature a dynamic galaxy visualization, where each star represents a dataset or insight category. Users can interact with the galaxy by zooming in, clicking on stars, and exploring insights tied to each dataset.

Details:

• Animation: Stars pulsate gently, creating a living, breathing effect.
• Interaction: Hovering over a star reveals a tooltip with dataset details or insight previews. Clicking zooms into a specific dataset, transitioning seamlessly to the dashboard.
• Color Shifts: The galaxy background subtly changes colors based on the time of day (e.g., soft blues for morning, warm oranges for evening).
• Micro-interactions: Smooth transitions between sections, with stars "connecting" via animated lines to show relationships between datasets.

This design concept ensures the homepage is unforgettable, engaging, and visually striking, leaving a lasting impression on users.

7. Non-Functional Requirements

• Performance:

  • Support for large datasets (up to 50MB).
  • Background processing for file uploads and data analysis.
  • Lazy loading for charts and dashboards.

• Security:

  • Secure session handling and user authentication.
  • Data encryption for uploaded files.

• Scalability:

  • Ability to handle increasing user traffic and datasets.
  • Modular architecture for future feature expansion.

• Usability:

  • Intuitive UI/UX design with minimal learning curve.
  • Responsive design for mobile and desktop devices.

8. Tech Stack

Frontend:

• React for Web

Backend:

• Python
• FastAPI

Database:

• MySQL or MariaDB (with Alembic for migrations)

AI Models:

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work

AI Tools:

• Litellm for LLM Routing
• Langchain

Local Orchestration:

• Docker
• docker-compose

Server-Side Orchestration:

• Kubernetes

9. Assumptions and Constraints

Assumptions:

• Users will primarily upload CSV or Excel files for analysis.
• The system will be accessed from both desktop and mobile devices.
• Insights retrieval without file uploads will rely on pre-existing datasets or AI models.

Constraints:

• File upload size limited to 50MB.
• Interactive charts must use Plotly or Chart.js.
• AI insights engine must support multiple languages, with English as the default.

10. Glossary

• SaaS: Software as a Service.
• CSV: Comma-Separated Values, a file format for tabular data.
• Excel: Microsoft Excel file format (.xlsx).
• AI: Artificial Intelligence.
• Dashboard: A visual interface displaying charts and insights.
• Insights: Actionable information derived from data analysis.
• Interactive Charts: Charts that allow user interaction, such as zooming and filtering.

This updated SRD ensures that strong-data aligns with Muhammad Abubakar's vision, incorporating the new requirement for insights retrieval without file uploads while maintaining the platform's simplicity and user-centric design.