jolly-avatar

byAabhas

I want tp build an app that uses an avatar to talk to a person and answers everything from the knowledge base I will be providing. I should be able to give a picture of myself or who so ever to be placed in the same

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System Requirements

System Requirement Document
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System Requirements Document (SRD)

Project Name: jolly-avatar

1. Introduction

The jolly-avatar project aims to create an innovative and interactive personal agent application. This app will feature a customizable avatar that can communicate with users through both text and voice. The avatar will dynamically respond to user queries by leveraging a backend powered by a Large Language Model (LLM). Users will also have the ability to personalize the avatar by uploading their own photos, enabling a highly tailored and engaging experience.

This document outlines the system requirements for the jolly-avatar project, ensuring clarity and alignment with the project's goals.

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2. System Overview

The jolly-avatar application is designed to serve as a personal agent for users, offering a lifelike and interactive experience. Key features include:

  • A customizable avatar with user-uploaded photos, expressions, and movements.
  • Dual communication modes: text-based and voice-based interactions.
  • Integration with an LLM backend to provide intelligent, context-aware responses to user queries.
  • A dynamic knowledge base powered by the LLM, ensuring adaptability and continuous learning.

The system will cater to users in India (IN), with locale-specific defaults such as time zones (IST) and currency (INR).

3. Functional Requirements

  • As a User, I should be able to upload a photo to personalize the avatar's appearance.
  • As a User, I should be able to interact with the avatar through text-based communication.
  • As a User, I should be able to interact with the avatar through voice-based communication.
  • As a User, I should be able to see the avatar's customizable expressions and movements during interactions.
  • As a User, I should be able to ask the avatar any query, and it should provide intelligent responses using the LLM backend.
  • As a User, I should be able to update the knowledge base dynamically by connecting to the LLM backend.
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4. User Personas

  1. Primary User:

    • Description: Individuals seeking a personal assistant for daily tasks, learning, or general queries.
    • Needs: A lifelike, customizable avatar that provides intelligent and context-aware responses.
    • Interaction Modes: Text and voice communication.
  2. Administrator:

    • Description: The system administrator responsible for managing backend integrations and maintaining the LLM.
    • Needs: Tools to monitor and update the LLM backend, manage user data, and ensure system performance.

5. Visuals Colors and Theme

The jolly-avatar project will use a vibrant and approachable color palette to reflect its engaging and interactive nature.

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Design Tokens:

  • primary: #4A90E2 (calm blue for trust and intelligence)
  • primary_light: #A3C9F9 (lighter blue for hover states and secondary UI)
  • secondary: #F5A623 (warm amber for emphasis and headlines)
  • accent: #E94E77 (vivid pink for CTAs and active states)
  • highlight: #F8E71C (bright yellow for notifications and hover indicators)
  • bg: #F9FAFB (soft white for the page background)
  • surface: rgba(255, 255, 255, 0.9) (semi-transparent white for cards/panels)
  • text: #333333 (dark gray for primary text)
  • text_muted: #888888 (light gray for secondary text)
  • border: rgba(0, 0, 0, 0.1) (subtle gray for borders)

6. Signature Design Concept

Interactive Avatar Studio

The homepage will feature an Interactive Avatar Studio, where users can create and customize their avatars in real-time.

Key Features:

  • 3D Avatar Preview: A 3D model of the avatar will be displayed, allowing users to rotate, zoom, and view it from different angles.
  • Customizable Features: Users can upload a photo, adjust facial features, and select expressions and movements.
  • Dynamic Background: The background will subtly change colors based on the avatar's mood or expression.
  • Interactive Animations: Hovering over the avatar will trigger micro-interactions, such as a wave or a smile.
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Libraries:

  • @react-three/fiber and @react-three/drei for 3D rendering.
  • framer-motion for smooth animations and transitions.
  • gsap for scroll-triggered effects and timeline animations.

This concept ensures that the first impression of the app is both memorable and engaging, setting the tone for the rest of the user experience.

7. Interaction Model & Motion Direction

Interaction Model:

  • Landing Page: Parallax interaction with layered depth. The avatar studio will be the focal point, with decorative elements (e.g., floating particles, glowing orbs) moving at different speeds as the user scrolls.
  • Internal Pages: Animated interaction with hover transitions and spring physics for buttons and interactive elements.

Motion Direction:

  • Smooth transitions between sections.
  • Subtle hover effects on interactive elements.
  • Spring physics for avatar movements and expressions.

8. Non-Functional Requirements

  • Performance: The app should load within 3 seconds on a standard 4G connection.
  • Scalability: The backend should support up to 10,000 concurrent users.
  • Accessibility: The app must comply with WCAG 2.1 Level AA standards.
  • Localization: The app should support Indian locale defaults (e.g., IST, INR).
  • Security: User data, including uploaded photos, must be encrypted both in transit and at rest.
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9. Tech Stack

Frontend:

  • React for Web.

Backend:

  • Python with FastAPI.

Database:

  • MySQL for structured data.
  • WeaviateDB for vector-based queries.

AI Models:

  • GPT 5.4 for user-friendly responses.
  • Google Nano Banana for image generation.

AI Tools:

  • Litellm for LLM routing.
  • Langchain for knowledge base management.

Orchestration:

  • Docker and docker-compose for local development.
  • Kubernetes for server-side orchestration.
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10. Assumptions and Constraints

  • The app assumes users have access to devices with cameras for photo uploads.
  • The LLM backend will require periodic updates to maintain accuracy and relevance.
  • The app will primarily target the Indian market, with potential for global expansion.

11. Glossary

  • LLM: Large Language Model, a type of AI model designed to understand and generate human-like text.
  • Avatar: A digital representation of a user, customizable in appearance and behavior.
  • Parallax: A design technique where background elements move at a different speed than foreground elements, creating a sense of depth.
  • WCAG: Web Content Accessibility Guidelines, a set of standards for making web content accessible to people with disabilities.
Landing design preview
Login: Sign In
Admin Dashboard: View Stats
Admin Dashboard: Monitor Performance
LLM Management: Update Model
LLM Management: Configure Backend
Knowledge Base: Manage Content
Knowledge Base: Update Entries
User Management: View Users
User Management: Edit User
User Management: Manage Data
System Settings: Configure App
System Settings: Set Integrations