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AIROS

AI Research Operating System

Accelerating Scientific Discovery with AI Agents

Python FastAPI Next.js React TypeScript Google Gemini

Built for the Google × Kaggle AI Agents: Intensive Vibe Coding Capstone Project

🎥 Demo Video: ("https://youtu.be/s9KUQ1ruQag") Thumbnail AIROS


Overview

AIROS is an AI Research Operating System that transforms fragmented scientific literature into a structured, persistent research workspace.

Instead of functioning as a traditional chatbot, AIROS organizes research into dedicated workspaces where AI-powered pipelines assist with literature discovery, evidence extraction, knowledge organization, and intelligent research exploration.


The Problem

Modern research is scattered across:

  • Academic papers
  • PDFs
  • Search engines
  • AI chatbots
  • Personal notes

Researchers spend significant time switching between tools, organizing information, and maintaining context throughout long-term projects.


The Solution

AIROS centralizes the research workflow into a unified workspace where researchers can:

  • Create dedicated research projects
  • Organize scientific literature
  • Upload and analyze PDFs
  • Explore structured evidence
  • Visualize relationships through knowledge graphs
  • Interact with an AI Research Copilot

Key Features

  • 📚 Literature Workspace
  • 📄 PDF Upload & Processing
  • 🧠 Research Planner
  • 🔍 Literature Retrieval
  • 📊 Evidence Analysis
  • 🌐 Interactive Knowledge Graph
  • 🤖 Research Copilot
  • 📂 Persistent Research Workspaces
  • 🔒 Security Initialization
  • 📈 Evaluation Dashboard

Research Workflow

Create Research Project
        │
        ▼
Research Planner
        │
        ▼
Literature Retrieval
        │
        ▼
PDF Processing
        │
        ▼
Evidence Extraction
        │
        ▼
Knowledge Graph
        │
        ▼
Research Copilot

System Architecture

AIROS cover page

Screenshots

Authentication

Screenshot 2026-07-06 182622 Screenshot 2026-07-06 182843

Dashboard

Screenshot 2026-07-06 181648

Create project

Screenshot 2026-07-06 184438

Research Planner

Screenshot 2026-07-06 181822

Literature Workspace

Screenshot 2026-07-06 182300

Evidence Workspace

Screenshot 2026-07-06 182325

Knowledge Graph

Screenshot 2026-07-06 182415

Research Copilot

Screenshot 2026-07-06 230543

Technology Stack

Frontend

  • Next.js
  • React
  • TypeScript
  • Tailwind CSS

Backend

  • FastAPI
  • Python

AI

  • Google Gemini
  • Google ADK
  • Retrieval-Augmented Generation (RAG)

Database

  • ChromaDB
  • Supabase

Project Structure

AIROS/
│
├── frontend/
├── backend/
├── agents/
├── docker/
├── tests/
│
├── README.md
├── LICENSE
└── .env.example

Installation

Clone Repository

git clone https://github.com/YOUR_USERNAME/AIROS.git
cd AIROS

Install Frontend

cd frontend
npm install

Install Backend

cd backend
pip install -r requirements.txt

Environment Variables

Copy:

.env.example

to

.env

and configure your API keys.


Run AIROS

Frontend

cd frontend
npm run dev

Backend

cd backend
uvicorn app.main:app --reload

Google × Kaggle AI Agents Capstone

This project was developed as part of the Google × Kaggle AI Agents: Intensive Vibe Coding Capstone Project, demonstrating the application of AI agents to support scientific research workflows.


Future Scope

AIROS is designed with a modular architecture that can be extended with additional research capabilities while preserving a unified research workspace.


License

This project is licensed under the MIT License.


AIROS

Accelerating Scientific Discovery with AI Agents