pearl-application

byPranav Kumbhar

Build AI application (ex. ChatGPT, Gemini etc) and provide free information and no any limitations in this app

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System Requirements

System Requirement Document

Pearl-Application System Requirements Document

Introduction (Website Version)

The Pearl-Application is an AI-driven platform designed to provide users with free, unlimited access to information. Inspired by applications like ChatGPT and Gemini, this project aims to offer a versatile and user-friendly experience with features such as multilingual support, voice interaction, and a modern user interface.

System Overview

The Pearl-Application will serve as an AI chat application that empowers users with unrestricted access to information. It will include functionalities such as coding assistance, image understanding, and voice support. The application will cater to both normal users and administrators, providing a simple chat interface for users and an admin panel for managing users and app settings.

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Functional Requirements (Website Version)

  • As a User, I should be able to engage in unlimited AI chat.
  • As a User, I should be able to receive coding help.
  • As a User, I should be able to understand images through the app.
  • As a User, I should be able to use voice support for interaction.
  • As a User, I should be able to switch to dark mode for better visibility.
  • As a User, I should be able to interact with the app in multiple languages.
  • As an Admin, I should be able to manage users and app settings through a simple, fast, and modern interface.

User Personas

  • Normal User: Individuals seeking information, coding assistance, or image understanding through AI chat. They prefer a simple and modern UI with options like dark mode and multilingual support.
  • Admin: Users responsible for managing the application, including user management and app settings adjustments.
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Visuals Colors and Theme

  • primary: #1A73E8 (a deep blue for brand identity, ensuring a modern look)
  • primary_light: #4D90FE (a lighter blue for hover states)
  • secondary: #FF6F61 (a coral hue for emphasis and links)
  • accent: #FFD700 (a vibrant gold for CTAs and active states)
  • highlight: #FFA500 (a warm orange for notifications and hover states)
  • bg: #F5F5F5 (a light grey for the page background)
  • surface: rgba(255, 255, 255, 0.9) (a soft white for card/panel backgrounds)
  • text: #333333 (a dark grey for primary text)
  • text_muted: #777777 (a muted grey for secondary text)
  • border: rgba(0, 0, 0, 0.1) (a subtle grey for borders)

Signature Design Concept

The Pearl-Application website will feature a streamlined and modern homepage. The design will focus on simplicity and speed, ensuring users can quickly access features like AI chat, coding help, and multilingual support. The interface will be intuitive and user-friendly, prioritizing a seamless user experience.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, creating a layered depth effect as users scroll through the page. Decorative layers will translate at different speeds, enhancing the storytelling and visual richness of the first impression. Internal pages, such as dashboards and settings, will adopt a "static" model for clarity and ease of use.

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Non-Functional Requirements

  • The website must support high concurrency to handle multiple users simultaneously.
  • It should ensure data privacy and security, especially for user interactions and admin settings.
  • The system must be scalable to accommodate future feature expansions and increased user base.

Tech Stack

  • Frontend: React for Web
  • Backend: Python with FastAPI
  • Database: MySQL or MariaDB, using Alembic for migrations
  • AI Models: GPT 5.4 for user-friendly responses, Claude 4.6 Opas for coding work, Gemini 3.1 pro for friendly responses, Google Nano banana for image generation, all optimized for fast and efficient performance
  • AI Tools: Litellm for LLM Routing, Langchain
  • Local Orchestration: Docker, docker-compose
  • Server-side Orchestration: Kubernetes

Assumptions and Constraints

  • The application will primarily serve users in India, considering local preferences and requirements.
  • The system will operate under the assumption of a stable internet connection for optimal performance.
  • Constraints include budget limitations for server infrastructure and AI model usage.
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Glossary

  • AI Chat: An interactive conversation with an AI model that provides information and assistance.
  • Multilingual Support: The ability of the application to operate in multiple languages.
  • Dark Mode: A UI option that displays content with a dark background for reduced eye strain.
  • Admin Panel: A backend interface for managing users and application settings.
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No completed page designs yet.

Completed design pages will appear here when they are ready to preview.

Landing: View Info
Login: Sign In
Dashboard: View Stats
Dashboard: Monitor Usage
Users: View All Users
Users: Edit User
Users: Disable User
AppSettings: Configure Models
AppSettings: Adjust Limits
AppSettings: Manage Languages
AppSettings: Save Changes

No completed page designs yet.

Completed design pages will appear here when they are ready to preview.

Landing: View Info
Login: Sign In
Dashboard: View Stats
Dashboard: Monitor Usage
Users: View All Users
Users: Edit User
Users: Disable User
AppSettings: Configure Models
AppSettings: Adjust Limits
AppSettings: Manage Languages
AppSettings: Save Changes