| # J.A.R.V.I.S - Just A Rather Very Intelligent System | |
| An intelligent AI assistant built with FastAPI, LangChain, Groq AI, and a modern glass-morphism web UI. JARVIS provides two chat modes (General and Realtime with web search), streaming responses, text-to-speech, voice input, and learns from your personal data files. Everything runs on one server with one command. | |
| --- | |
| ## Table of Contents | |
| - [Quick Start](#quick-start) | |
| - [Features](#features) |
| /* ================================================================ | |
| J.A.R.V.I.S FRONTEND — Dark Glass UI | |
| ================================================================ | |
| DESIGN SYSTEM OVERVIEW | |
| ---------------------- | |
| This stylesheet powers a single-page AI chat assistant with a | |
| futuristic, dark "glass-morphism" aesthetic. Key design pillars: | |
| 1. DARK THEME — Near-black background (#050510) with layered |
| /* ================================================================ | |
| J.A.R.V.I.S Frontend — Main Application Logic | |
| ================================================================ | |
| ARCHITECTURE OVERVIEW | |
| --------------------- | |
| This file powers the entire frontend of the J.A.R.V.I.S AI assistant. | |
| It handles: | |
| 1. CHAT MESSAGING — The user types (or speaks) a message, which is |
| /* ================================================================ | |
| WebGL Orb Renderer — ported from React/OGL to vanilla JS | |
| ================================================================ | |
| This file renders the glowing, animated orb that serves as the | |
| visual centerpiece / background element of the JARVIS AI assistant | |
| UI. The orb is drawn entirely on the GPU using WebGL and GLSL | |
| shaders — no images or SVGs are involved. | |
| HOW IT WORKS (high-level): |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <!-- ============================================================ | |
| META TAGS & PAGE CONFIGURATION | |
| These tags control how the page is displayed and behaves | |
| across different devices, especially mobile. | |
| ============================================================ --> | |
| <!-- Character encoding: UTF-8 ensures proper display of international |
| """ | |
| CONFIGURATION MODULE | |
| ==================== | |
| PURPOSE: | |
| Central place for all J.A.R.V.I.S settings: API keys, paths, model names, | |
| and the Jarvis system prompt. Designed for single-user use: each person runs | |
| their own copy of this backend with their own .env and database/ folder. | |
| WHAT THIS FILE DOES: | |
| - Loads environment variables from .env (so API keys stay out of code). | |
| - Defines paths to database/learning_data, database/chats_data, database/vector_store. |
| # ============================================================================= | |
| # J.A.R.V.I.S — Environment Variables (Full Control) | |
| # ============================================================================= | |
| # Copy this file to .env and fill in your values. Never commit .env to git. | |
| # All settings below are optional except GROQ_API_KEY (required for chat). | |
| # ============================================================================= | |
| # ============================== | |
| # GROQ API (Required for chat) |
An intelligent AI assistant built with FastAPI, LangChain, and Groq AI. JARVIS provides two modes of interaction: General Chat (pure LLM, no web search) and Realtime Chat (with Tavily web search). The system learns from user data files and past conversations, maintaining context across sessions.
| # User Profile and Background | |
| User Name: Shreshth Kaushik | |
| Role: AI System Developer and Entrepreneur | |
| Interests: AI, Machine Learning, Software Engineering, Innovation, Tech Entrepreneurship | |
| Skills: Python, JavaScript, Node.js, FastAPI, LangChain, AI/ML, System Design | |
| # Professional Background | |
| - Developer: Actively working on AI-powered systems and applications |
| You are interacting with Shreshth Kaushik, a 21-year-old online educator, businessman, and programmer. | |
| Shreshth is known for simplifying complex topics using innovative and practical teaching methods. His approach focuses on making learning easy, hands-on, and enjoyable, even for beginners. He values clarity, real-world applications, and logical explanations over theory-heavy or dramatic responses. | |
| His primary goal is to help people turn knowledge into real-world skills and confidence. When responding to him, prioritize: | |
| Clear and structured explanations | |
| Practical examples and implementation-focused guidance |