EdTech AI · Project details

COSMOS — Collaborative Orchestration Systemfor Multi-Agent Optimization & Synthesis in Intelligent Tutoring

An intelligent tutoring system delivering adaptive learning pathways, real-time feedback, and automated student progress analytics.

Client Site Live Test Live API Backend Repo RoleAI Engineer
Cosmos Tutoring preview

Core Tech Stack

try the product
Python logo
Python
FastAPI logo
FastAPI
PostgreSQL logo
PostgreSQL
Next.js 15 logo
Next.js 15
LangChain
LangGraph
OpenAI API
React Flow
Product mockup
Problem statement: students queue for help after class while faculty time can't scale to give everyone personalized support
Objective and solution: build a chat-based multi-agent AI tutor with feedback-loop memory tracking to close the personalized-support gap
Literature Review
Literature review summary of prior adaptive-learning and intelligent-tutoring research
Methodology
Methodology phases diagram and literature inclusion flowchart
Feature mapping: topic-wise AI agents, study plan generator, weakness prediction, learning path, performance tracker
Multi-Agent Infrastructure
System Architecture Topology

Multi-Agent Infrastructure

UI LayerOrchestration LayerAgent Infrastructure LayerDatabaseAI Feedback Loop💬 Student : Chat UI⚡ FastAPI Server🎯 Course Classifier Layer - Few Shot🤖 N.agents💻 SE-Agent🗄️ DBMS-Agent❓ Fallback Prompt🔀 Choose relatable agent👤 Fetch User History & Preferences✍️ Build Contextual Prompt🧠 Intent Classifier - LLM / Rule🛠️ N number of tools...✨ Response Formatter & Personalization Layer💾 Store to Memory📥 Retrieve to Memory📤 Return Answer to UI🍃 Chat History DB - MongoDB🌲 Pinecone Vector Store : Notes + Slides + Q&A🤖 AI Take Action⚖️ AI Review / Evaluate❌ Failure✅ Success
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UI LAYER NODE

Student : Chat UI

Interactive student frontend interface handling real-time chat messages, LaTeX math, and code blocks.

Next.js 16React 19Framer Motion

Appendix · Roadmap

what ships next

Continuous Refactoring

Keep the codebase modular and aligned with system performance standards.

Extensible Integration

Designed to interface easily with future services and APIs.

Built with clarity. Scaled with discipline.

Higher student concept mastery rates.

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