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CortexCraft - Comprehensive Project Report

1. Executive Summary

CortexCraft is a next-generation AI-powered study and development ecosystem. It integrates advanced artificial intelligence with real-time collaboration tools to create a seamless environment for students and developers. The platform bridges the gap between passive learning and active creation by providing tools for summarization, testing, visualization, and collaborative coding.

2. Core Modules & Features

🧠 AI Study Suite

  • AI Quiz Generator: Automatically generates interactive quizzes from study materials to test user knowledge.
  • Smart Flashcards: Uses AI to extract key concepts and create memory-reinforcing flashcards.
  • MindMap Generator: Visualizes complex topics into hierarchical diagrams using Mermaid.js integration.
  • AI Summarizer: Distills long documents or notes into concise, actionable summaries.

💻 Development & Collaboration

  • Collaborative IDE: A real-time, synchronized code editor allowing multiple users to code together in the same environment.
  • Interactive Whiteboard: A shared canvas for brainstorming, diagramming, and visual collaboration with low-latency synchronization.
  • AI Chatbot: A persistent assistant that provides instant answers, code help, and concept explanations.

3. Technical Architecture

Frontend (Modern SPA)

  • Framework: React 18 with TypeScript for type-safe development.
  • Build Tool: Vite for lightning-fast HMR and optimized production builds.
  • Styling: Custom CSS with Glassmorphism and modern design principles.
  • Routing: React Router DOM for seamless navigation.

Backend (Scalable Microservices)

  • Framework: FastAPI (Python) for high-performance asynchronous API endpoints.
  • Real-time Engine: Socket.io for bidirectional communication (IDE and Whiteboard synchronization).
  • AI Integration: LangChain / Direct API integration with Google Gemini and OpenAI.

4. File Structure Overview

Frontend (/src)

  • pages/: Contains main views (Dashboard, Quiz, MindMap, IDE, etc.)
  • components/: Reusable UI elements (Whiteboard, Sidebar, Chatbot UI).
  • hooks/: Custom React hooks for socket management and AI calls.

Backend (/backend)

  • main.py: Entry point for the FastAPI application.
  • socket_coding.py: Handles real-time synchronization logic.
  • ai/: Logic for LLM interactions and prompt engineering.
  • routes/: API endpoint definitions.

5. Future Roadmap

  1. RAG Integration: Allow users to upload PDFs and query them using Vector Databases (ChromaDB/Pinecone).
  2. Voice Interaction: Enable voice commands and AI-driven speech-to-text for the chatbot.
  3. Progress Tracking: Implement a dashboard to track learning milestones and quiz performance.
  4. Extension Ecosystem: Allow developers to build custom modules for the CortexCraft platform.

Author: Khushal (AI & Full Stack Developer) Project Status: Active Development