top of page

DAXI App

DAXI's personal AI is trained on your real-world behaviors. It is seamlessly integrated within the App, so you can ask it questions and get insights from your data

DAXI App Screenshot

TECHNOLOGY

Python, Open AI, LangGraph

PROJECT TYPE

Natural Language Processing

Use Case

  • Playcent Technologies aimed to develop an AI-powered agent that enables users to interact seamlessly through an intuitive voice or chat interface.
  • This intelligent assistant allows users to execute trades, analyze market trends, and manage their cryptocurrency portfolios with ease
  • By leveraging AI-driven insights, users can make informed investment decisions and automate complex trading strategies.
  • The goal is to simplify crypto trading and portfolio management, making it more accessible and efficient for both beginners and experienced traders.

Solution

  • Advanced NLP for Seamless Interaction

We leverage OpenAI’s GPT models to understand user commands, whether it’s executing trades, analyzing trends, or managing portfolios, making crypto trading effortless.

  • Intuitive Voice Interface

Using OpenAI’s Whisper and TTS models, we enable users to interact with our AI agent via voice commands, ensuring a hands-free and intuitive experience.

  • Orchestrating AI Workflows with LangGraph

We utilize LangGraph to coordinate interactions between multiple AI agents, APIs, and trading modules, ensuring smooth and efficient communication between different components of our system.

bottom of page