System Requirements Document (SRD) for VAJRA-X

1. Introduction

The VAJRA-X project aims to develop a cutting-edge multimodal AI chatbot that combines the capabilities of advanced language models with the ability to process and respond to multiple input types, such as text and images. Inspired by tools like Claude, VAJRA-X will be a "super pro" model designed for advanced web information search and analysis. It will be versatile, user-friendly, and capable of serving both general-purpose and specialized use cases. This document outlines the system requirements for the development of VAJRA-X, ensuring alignment with Sheri's vision and the project's goals.

2. System Overview

VAJRA-X is designed to be a multimodal AI chatbot that integrates advanced natural language processing (NLP) with image recognition and other input modalities. The system will cater to a wide range of users, from individuals seeking general assistance to businesses requiring tailored solutions. It will leverage state-of-the-art AI models and technologies to provide accurate, context-aware, and engaging interactions.

Key features include:

• Multimodal input processing (text, images, etc.).
• Advanced web search capabilities for in-depth research and real-time information retrieval.
• General-purpose and domain-specific capabilities.
• User-friendly interface for seamless interaction.
• Scalable architecture to support diverse use cases.

The system will be developed with a focus on accessibility, scalability, and adaptability, ensuring it meets the needs of users in India and beyond.

3. Functional Requirements as Story Points

• As a User, I should be able to interact with the chatbot using text input.
• As a User, I should be able to upload images for analysis or context-based responses.
• As a User, I should receive multimodal responses combining text and visual outputs.
• As a User, I should be able to ask general-purpose questions and receive accurate answers.
• As a User, I should be able to request content generation (e.g., summaries, creative writing).
• As a User, I should be able to analyze data or documents using the chatbot.
• As a User, I should be able to perform advanced web searches for in-depth research.
• As a User, I should receive real-time conversational responses.
• As an Admin, I should be able to configure and monitor the chatbot's performance.
• As an Admin, I should be able to update the AI model or add new capabilities.

4. User Personas

4.1 General User

• Description: Individuals seeking assistance with general queries, content generation, image analysis, or web searches.
• Goals: Quick, accurate, and engaging responses to their queries.
• Pain Points: Slow or inaccurate responses, lack of multimodal support.

4.2 Researcher

• Description: Professionals or academics using the chatbot for in-depth research and analysis.
• Goals: Efficient and reliable access to accurate, well-organized information from the web.
• Pain Points: Difficulty in finding credible sources, lack of advanced search capabilities.

4.3 Business User

• Description: Professionals or organizations using the chatbot for domain-specific tasks, such as customer support or data analysis.
• Goals: Efficient and reliable solutions tailored to their business needs.
• Pain Points: Limited customization options, scalability issues.

4.4 Admin

• Description: System administrators responsible for managing and maintaining the chatbot.
• Goals: Easy configuration, monitoring, and updating of the system.
• Pain Points: Complex management interfaces, lack of performance insights.

5. Visuals Colors and Theme

The visual identity of VAJRA-X will reflect its modern, intelligent, and powerful nature. Below is the unique color palette designed for the project:

• Background: #1A1A2E (deep indigo for a futuristic and professional feel)
• Surface: #16213E (dark navy for a sleek, modern interface)
• Text: #EAEAEA (soft white for readability and contrast)
• Accent: #FF4C29 (vivid orange-red for interactive elements and highlights)
• Muted Tones: #6C757D (neutral gray for secondary elements)

This palette ensures a balance between professionalism, power, and approachability, appealing to both general and business users.

6. Signature Design Concept

Interactive Galaxy of Knowledge

The homepage of VAJRA-X will feature an interactive galaxy visualization, symbolizing the vast and interconnected nature of knowledge. Users will be greeted by a 3D galaxy where each star represents a topic or feature.

• Interaction: Users can click on stars to explore specific features or topics (e.g., "Web Search," "Image Analysis," "Content Generation"). Hovering over a star will display a tooltip with a brief description.
• Animation: The galaxy will rotate slowly, with stars twinkling and connecting via glowing lines to represent relationships between topics.
• Transitions: Smooth zoom-in and zoom-out animations will guide users as they navigate through the galaxy, creating an immersive experience.
• Color Shifts: The galaxy's colors will subtly shift based on the user's interaction, with brighter hues for active stars and muted tones for inactive ones.

This bold design will make VAJRA-X instantly memorable and convey its advanced, intelligent, and exploratory nature.

7. Non-Functional Requirements

• Performance: The chatbot should respond to user queries within 2 seconds for text inputs and 5 seconds for multimodal inputs.
• Scalability: The system must handle up to 10,000 concurrent users without performance degradation.
• Security: All user data must be encrypted in transit and at rest, adhering to GDPR and local data protection regulations.
• Availability: The system should maintain 99.9% uptime.
• Localization: Support for multiple languages, with a focus on English and Indian regional languages.

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

AI Models

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly responses
• Google Nano Banana for image generation

AI Tools

• Litellm for LLM Routing
• Langchain

Orchestration

• Docker (local)
• Kubernetes (server-side)

9. Assumptions and Constraints

• Assumptions:

  • Users will have access to stable internet connections.
  • The chatbot will primarily serve users in India, with potential for global expansion.
  • The system will initially support English, with plans to add Indian regional languages.

• Constraints:

  • Limited initial budget may restrict the scope of advanced features.
  • Compliance with local data protection laws is mandatory.

10. Glossary

• Multimodal AI: Artificial intelligence capable of processing and responding to multiple types of inputs (e.g., text, images).
• NLP: Natural Language Processing, a branch of AI focused on understanding and generating human language.
• LLM: Large Language Model, a type of AI model trained on vast amounts of text data to generate human-like responses.
• GDPR: General Data Protection Regulation, a legal framework for data protection and privacy in the European Union.