📊 Cross‑Publication Insight Assistant

A Multi‑Agent System for exploring patterns and trends across AI/ML projects.

This document describes the Cross‑Publication Insight Assistant — its purpose, architecture, usage, and examples. This project helps researchers and developers automatically analyze and extract insights across multiple GitHub repositories and research publications.

🚀 Abstract

The Cross‑Publication Insight Assistant is a system designed to discover patterns, trends, and high‑level insights across collections of AI/ML repositories and publications. Users provide a list of GitHub URLs or publication identifiers (e.g., from Ready Tensor), optionally coupled with a natural‑language query such as tool usage, evaluation methods, or task classes. The system then aggregates metadata, computes patterns, and presents human‑interpretable insights.

📌 Key Features

Cross‑project Insight Generation – Analyze multiple GitHub repos and/or academic projects.

Trend Summarization – Highlight common libraries, methods, or evaluation metrics.

Query‑Focused Analysis – Incorporate optional user questions for tailored insights.

Frontend Visualization – Interactive UI for exploring results.

🛠️ Architecture Overview

┌──────────┐      ┌───────────┐      ┌────────────┐

| Frontend (React) | <──> | Backend (Python)  | <──> | Data Sources         |

| UI for insights  |      | API + Analysis    |      | GitHub + ReadyTensor |

└──────────┘      └───────────┘      └──────────────┘

*Frontend: Interactive exploration using frameworks like React/Next.js.

*Backend: Python API collects, processes, and summarizes insights.

*Data Inputs: GitHub repos + ReadyTensor publication identifiers.

🧰 Installation

1. Clone the Repository

git clone https://github.com/sepidehsalman/Cross-Publication-Insight-Assistant.git cd Cross-Publication-Insight-Assistant

2. Backend Setup

Create and activate a virtual environment
cd backend pip install -r requirements.txt

Create a .env file:

GOOGLE_API_KEY=your_google_api_key_here

3. Frontend Setup

cd frontend npm install npm run dev

Visit: http://localhost:3000

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⚡ Usage Example

Input

Github repos URLs...

Query: "evaluation metrics used"`

Output (Example Insight)

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🧪 Code Snippet

Here's a minimal Python snippet showing how the backend process a GitHub URL:

def repo_reader(repo: Dict[str, Any]) -> str:
"""
Read a GitHub repository's README and metadata as plain text.
"""
return f"""
Repository: {repo["name"]}
README:
{repo.get("readme", "")}
Tags: {", ".join(repo.get("tags", []))}
"""

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📈 Screenshots & Visualization

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📄 License

MIT, Apache‑2.0