Project Info

Airpool

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This project did not submit a description on Devpost.

Cal Hacks 11.0 Project

Project Flow

flow

About Us

Airpool is open-source decentralized network that allows individuals and startups to contribute their unused GPU resources. By pooling these resources, we create a shared infrastructure for distributing computational services that are accessible to small companies and developers. This empowers them to tackle sophisticated AI models and perform large-scale data analysis without heavy upfront investment in GPU hardware.

Tech Stack

Frontend: Next.js + Typescript
Backend: Python, Flask
Other Technologies: Fetch.ai

Getting Started

Follow the instructions below to set up the project on your local machine.

Prerequisites

Make sure you have the following installed:

Node.js
Python 3.x
npm (Node Package Manager)
Poetry

Installation and Setup

Clone the repository:

git clone https://github.com/Raghxv11/CalHacks.git
cd CalHacks

Set up the backend:
```
cd server/Multi_agent
```
Initialize and activate virtual environment: We use Poetry to manage our Python environment (optional but recommended):
```
poetry init -n && poetry shell
```
Install uAgents Framework and other dependencies:
```
poetry add uagents
```
Verify installation:
```
poetry show uagents
```
Install frontend dependencies:
```
cd ../../client
npm install
```

Running the Project

Start the Backend Server: In the server directory:
```
python server.py
```
Run the Multi-Agent System: In a new terminal, navigate to server/Multi_agent and run:
```
python run_simulation.py
```
Start the Frontend Development Server: In another terminal, navigate to the client directory and run:
```
npm run dev
```
Access the Project: Open your web browser and navigate to http://localhost:3000.

Project Structure

/server: Contains the backend server and multi-agent system
- /Multi_agent: Houses the AirPool multi-agent system
/client: Contains the frontend React application

Analysis

Compare with all teams

View

Metric

Raghxv11
13
a-rishabh
3

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only

CSSIn code
JavaScriptIn code
Next.jsIn code
PythonIn code
ReactIn code
Tailwind CSSIn code
TypeScriptIn code
FlaskClaimed

7 of 8 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

55 KB

Source files

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.