Agience CookieMaps

Overview

Agience CookieMaps is an AI-powered cryptocurrency data visualization platform developed by Agience AI. It simplifies crypto market analysis through advanced clustering, AI-driven insights, and real-time data visualization. Our mission is to make cryptocurrency trading and investment more intuitive, data-driven, and accessible to all users.

Features

• AI-Driven Market Analysis – Uses machine learning models to classify and cluster cryptocurrencies.
• Dynamic Clustering – Organizes cryptocurrencies into visually interactive groups based on market trends.
• Real-Time Data Visualizations – Provides insights from CookieDAO’s DataSwarm API, including social sentiment and trading activity.
• AI Chatbot Assistance – Natural Language Processing (NLP)-powered chatbot to help users understand market movements.
• User-Friendly Interface – Designed for novice traders and experienced investors alike.
• Portfolio Tracking & Insights – Analyze, track, and optimize crypto portfolios.

Installation

Clone the repository:

git clone https://github.com/ikailo/agience-cookiemaps.git

Navigate into the project folder:

cd agience-cookiemaps

Open the project files in your preferred code editor.

Run the backend using Python:

python app.py

Open the index.html file in a web browser to access the platform.

Running with Docker

To run CookieMaps using Docker, use the following commands:

Build the Docker image:

docker build -t agience-cookiemaps .

Run the Docker container:

docker run -p 8000:8000 agience-cookiemaps

The application will be available at http://localhost:8000/.

Usage

• Open the application in your browser.
• Explore AI-driven insights and market data visualizations.
• Utilize AI-powered chatbot assistance for cryptocurrency explanations.
• Make informed trading and investment decisions based on CookieDAO API data.

Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Python (Flask/FastAPI)
• AI & Analytics: OpenAI models, CookieDAO DataSwarm API, K-means clustering
• Deployment: Docker, AWS EC2

License

This project is licensed under the AGPL-3.0 License.